Mila > Publications

Publications

Mila is a research institute in artificial intelligence which rallies more than 1,000 researchers specializing in the field of deep learning. Here is a directory of their publications between 2018 and December 2021.

2021-12

Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul, Surya Ganguli and Gintare Karolina Dziugaite
How to transfer algorithmic reasoning knowledge to learn new algorithms
Louis-Pascal Xhonneux, Andreea-Ioana Deac, Petar Veličković and Jian Tang
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux and Jian Tang
Predicting Molecular Conformation via Dynamic Graph Score Matching
Shitong Luo, Chence Shi, Minkai Xu and Jian Tang
NEURIPS 2021
(2021-12-06)
proceedings.neurips.cc
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Minghao Xu, Meng Qu, Bingbing Ni and Jian Tang
NEURIPS 2021
(2021-12-06)
papers.nips.cc
Learning where to learn: Gradient sparsity in meta and continual learning
Johannes von Oswald, Dominic Zhao, Seijin Kobayashi, Simon Schug, Massimo Caccia, Nicolas Zucchet and João Sacramento
Information is Power: Intrinsic Control via Information Capture
Nicholas Rhinehart, Jenny Wang, Glen Berseth, John Co-Reyes, Danijar Hafner, Chelsea Finn and Sergey Levine
NEURIPS 2021
(2021-12-06)
proceedings.neurips.cc
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas and Irina Rish
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Oumar Kaba, Yoshua Bengio, Aaron C. Courville, Doina Precup and Guillaume Lajoie
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari and Guillaume Rabusseau
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF
Continual Learning via Local Module Composition
Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia and Laurent Charlin
Flexible Option Learning
Martin Klissarov and Doina Precup
NEURIPS 2021
(2021-12-06)
papers.nips.cc
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh, Siva Reddy, Will Hamilton, Chris Dyer and Dani Yogatama
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden and Mark Rowland
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF
Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow and Tamir Hazan
Systematic Generalization with Edge Transformers
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Zimin Chen, Vincent Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow and Subhodeep Moitra
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song and Xujie Si
NEURIPS 2021
(2021-12-06)
papers.nips.cc
Iterative Teaching by Label Synthesis
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf and Adrian Weller
On the Expressivity of Markov Reward
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup and Satinder Singh
Neural Algorithmic Reasoners are Implicit Planners
Andreea-Ioana Deac, Petar Veličković, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang and Mladen Nikolic
Neural Production Systems
Anirudh Goyal Alias Parth Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael C. Mozer and Yoshua Bengio
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
harsh satija, Philip S. Thomas, Joelle Pineau and Romain Laroche
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Muyuan Xia, Kai-Zhan Lee, Yoshua Bengio and Elias Bareinboim
Discrete-Valued Neural Communication
Dianbo Liu, Alex M. Lamb, Kenji Kawaguchi, Anirudh Goyal Alias Parth Goyal, Chen Sun, Michael C. Mozer and Yoshua Bengio
Temporally Abstract Partial Models
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici and Doina Precup
Techniques for Symbol Grounding with SATNet
Sever Topan, David Rolnick and Xujie Si
Active 3D Shape Reconstruction from Vision and Touch
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero and Michal Drozdzal
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel Dun-ning Woo Johnson, Jonathan Ho, Danny Tarlow and Rianne van den Berg
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Patrick J Mineault, Shahab Bakhtiari, Blake Aaron Richards and Christopher C Pack
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain and Benjamin Guedj
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
Courtney Paquette and Elliot Paquette
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Shahab Bakhtiari, Patrick Mineault, Timothy Lillicrap, Christopher Pack and Blake Richards
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup and Yoshua Bengio
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas and Simon Lacoste-Julien
Learning to Combine Per-Example Solutions for Neural Program Synthesis
Disha Shrivastava, Hugo Larochelle and Daniel Tarlow
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau and Prudencio Tossou
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup and Yoshua Bengio
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R Devon Hjelm, Philip Bachman and Aaron C. Courville
A single gradient step finds adversarial examples on random two-layers neural networks
Sebastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel and Remi Tachet des Combes
Learning to Schedule Heuristics in Branch and Bound
Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi and Sebastian Pokutta
Test Sample Accuracy Scales with Training Sample Density in Neural Networks.
Xu Ji, Razvan Pascanu, Devon Hjelm, Balaji Lakshminarayanan and Andrea Vedaldi
arXiv: Learning
(2021-12-02)
arxiv.orgPDF
Challenges when identifying migration from geo-located Twitter data
Caitrin Armstrong, Ate Poorthuis, Matthew Zook, Derek Ruths and Thomas Soehl
EPJ Data Science
(2021-12-01)
epjdatascience.springeropen.comPDF

2021-11

Embracing Channel Estimation in Multi-Packet Reception of ZigBee
Zhe Wang, Linghe Kong, Xue Liu and Guihai Chen
IEEE Transactions on Mobile Computing
(2021-11-30)
ieeexplore.ieee.org
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning.
Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban and Andrea Lodi
arXiv: Learning
(2021-11-29)
dblp.uni-trier.dePDF
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Alexander Tong, Guy Wolf and Smita Krishnaswamy
Journal of Signal Processing Systems
(2021-11-28)
PDF
Average Outward Flux Skeletons for Environment Mapping and Topology Matching
Morteza Rezanejad, Babak Samari, Elham Karimi, Ioannis M. Rekleitis, Gregory Dudek and Kaleem Siddiqi
arXiv preprint arXiv:2111.13826
(2021-11-27)
dblp.uni-trier.dePDF
Medial Spectral Coordinates for 3D Shape Analysis
Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk B. Walther and Kaleem Siddiqi
arXiv preprint arXiv:2111.13295
(2021-11-26)
dblp.uni-trier.dePDF
Loneliness is linked to specific subregional alterations in hippocampus-default network co-variation.
Chris Zajner, R. Nathan Spreng and Danilo Bzdok
Journal of Neurophysiology
(2021-11-24)
journals.physiology.org
Causes of acute respiratory failure in patients with small-vessel vasculitis admitted to intensive care units: a multicenter retrospective study.
Aude Gibelin, Guillaume Dumas, Sandrine Valade, Marc Pineton de Chambrun, François Bagate, Mathilde Neuville, Francis Schneider, Loredana Baboi, Matthieu Groh, Jean-Herlé Raphalen, Jean-Daniel Chiche, Nicolas De Prost, Charles-Edouard Luyt, Claude Guérin, Eric Maury, Etienne de Montmollin, Alexandre Hertig, Antoine Parrot, Raphaël Clere-Jehl and Muriel Fartoukh
Annals of Intensive Care
(2021-11-24)
annalsofintensivecare.springeropen.com
Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up
James McVittie, David Wolfson, David Stephens, Vittorio Addona and David Buckeridge
The International Journal of Biostatistics
(2021-11-24)
pubmed.ncbi.nlm.nih.gov
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez and Aaron C. Courville
arXiv preprint arXiv:2111.12172
(2021-11-23)
dblp.uni-trier.dePDF
Meta-topologies define distinct anatomical classes of brain tumors linked to histology and survival
J. M. Kernbach, D. Delev, G. Neuloh, H. Clusmann, D. Bzdok, S. B. Eickhoff, V. E. Staartjes, F. Vasella, M. Weller, L. Regli, C. Serra, N. Krayenbuehl and K. Akeret
medRxiv
(2021-11-21)
www.medrxiv.orgPDF
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf and Smita Krishnaswamy
arXiv preprint arXiv:2111.10452
(2021-11-19)
dblp.uni-trier.dePDF
The meaning of significant mean group differences for biomarker discovery.
Eva Loth, Jumana Ahmad, Chris Chatham, Beatriz López, Ben Carter, Daisy Crawley, Bethany Oakley, Hannah Hayward, Jennifer Cooke, Antonia San José Cáceres, Danilo Bzdok, Emily Jones, Tony Charman, Christian Beckmann, Thomas Bourgeron, Roberto Toro, Jan Buitelaar, Declan Murphy and Guillaume Dumas
PLOS Computational Biology
(2021-11-18)
pubmed.ncbi.nlm.nih.gov
GFlowNet Foundations
Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari and Emmanuel Bengio
arXiv: Learning
(2021-11-17)
arxiv.orgPDF
Stochastic Extragradient: General Analysis and Improved Rates
Eduard Gorbunov, Hugo Berard, Gauthier Gidel and Nicolas Loizou
arXiv preprint arXiv:2111.08611
(2021-11-16)
dblp.uni-trier.dePDF
Universal Dependencies 2.9
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Hamid Aghaei, Željko Agić, Amir Ahmadi, Lars Ahrenberg, Chika Kennedy Ajede, Gabrielė Aleksandravičiūtė, Ika Alfina, Lene Antonsen, Katya Aplonova, Angelina Aquino, Carolina Aragon, Maria Jesus Aranzabe, Bilge Nas Arıcan, Þórunn Arnardóttir, Gashaw Arutie... (456 more)
(venue unknown)
(2021-11-15)
lindat.cz
ZERO: Playing Mathematical Programming Games.
Gabriele Dragotto, Sriram Sankaranarayanan, Margarida Carvalho and Andrea Lodi
arXiv preprint arXiv:2111.07932
(2021-11-15)
dblp.uni-trier.dePDF
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA
Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton and Jérôme Waldispühl
Altered brain criticality in Schizophrenia: New insights from MEG
Golnoush Alamian, Tarek Lajnef, Annalisa Pascarella, Jean-Marc Lina, Laura Knight, James Walters, Krish D Singh and Karim Jerbi
bioRxiv
(2021-11-13)
www.biorxiv.orgPDF
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning
Tianyi Chen, Shengrong Bu, Xue Liu, Jikun Kang, F. Richard Yu and Zhu Han
IEEE Transactions on Smart Grid
(2021-11-13)
ieeexplore.ieee.org
Reputation Gaming in Stack Overflow.
Iren Mazloomzadeh, Gias Udin, Foutse Khomh and Ashkan Sami
arXiv preprint arXiv:2111.07101
(2021-11-13)
dblp.uni-trier.dePDF
Hidden Hypergraphs, Error-Correcting Codes, and Critical Learning in Hopfield Networks.
Christopher Hillar, Tenzin Chan, Rachel Taubman and David Rolnick
Entropy
(2021-11-11)
www.mdpi.com
Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach.
Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan and Stephen L. Smith
arXiv preprint arXiv:2111.06437
(2021-11-11)
dblp.uni-trier.dePDF
The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations.
Margarida Carvalho, Gabriele Dragotto, Andrea Lodi and Sriram Sankaranarayanan
arXiv preprint arXiv:2111.05726
(2021-11-10)
dblp.uni-trier.dePDF
Lesions in putative language and attention regions are linked to more severe strokes in patients with higher white matter hyperintensity burden
Anna K. Bonkhoff, Sungmin Hong, Martin Bretzner, Markus D. Schirmer, Robert W. Regenhardt, E. Murat Arsava, Kathleen L. Donahue, Marco J. Nardin, Adrian V. Dalca, Anne-Katrin Giese, Mark R. Etherton, Brandon L. Hancock, Steven J. T. Mocking, Elissa C. McIntosh, John Attia, Oscar R. Benavente, John W. Cole, Amanda Donatti, Christoph J. Griessenauer, Laura Heitsch... (38 more)
medRxiv
(2021-11-09)
www.medrxiv.org
Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé.
Joseph Paul Cohen, Tianshi Cao, Joseph D. Viviano, Chin-Wei Huang, Michael Fralick, Marzyeh Ghassemi, Muhammad Mamdani, Russell Greiner and Yoshua Bengio
Canadian Medical Association Journal
(2021-11-08)
europepmc.orgPDF
Papaya: Practical, Private, and Scalable Federated Learning.
Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min and Mani Malek
arXiv preprint arXiv:2111.04877
(2021-11-08)
dblp.uni-trier.dePDF
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods.
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh and John Mullins
arXiv preprint arXiv:2111.04865
(2021-11-08)
dblp.uni-trier.dePDF
Utilizing graph machine learning within drug discovery and development.
Thomas Gaudelet, Ben Day, Arian R Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B R Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L Blundell, Michael M Bronstein and Jake P Taylor-King
Briefings in Bioinformatics
(2021-11-05)
academic.oup.com
Bombardier Aftermarket Demand Forecast with Machine Learning
Pierre Dodin, Jingyi Xiao, Yossiri Adulyasak, Neda Etebari Alamdari, Lea Gauthier, Philippe Grangier, Paul Lemaitre and William Hamilton
(venue unknown)
(2021-11-05)
autopapers.ssrn.com
Organizing Principles of Astrocytic Nanoarchitecture in the Mouse Cerebral Cortex
Christopher K. Salmon, Tabish A. Syed, J. Benjamin Kacerovsky, Nensi Alivodej, Alexandra L. Schober, Michael T. Pratte, Michael P. Rosen, Miranda Green, Adario DasGupta, Hojatollah Vali, Craig A. Mandato, Kaleem Siddiqi and Keith K. Murai
bioRxiv
(2021-11-05)
www.biorxiv.orgPDF
Generating Diverse Realistic Laughter for Interactive Art.
M. Mehdi Afsar, Eric Park, Étienne Paquette, Gauthier Gidel, Kory Wallace Mathewson and Eilif Muller
arXiv preprint arXiv:2111.03146
(2021-11-04)
dblp.uni-trier.dePDF
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
Gias Uddin, Yann-Gaël Guéhéneuc, Foutse Khomh and Chanchal K. Roy
arXiv preprint arXiv:2111.03196
(2021-11-04)
dblp.uni-trier.dePDF
Learned Image Compression for Machine Perception
Felipe Codevilla, Jean Gabriel Simard, Ross Goroshin and Chris Pal
arXiv preprint arXiv:2111.02249
(2021-11-03)
dblp.uni-trier.dePDF
On the Effectiveness of Interpretable Feedforward Neural Network.
Miles Q. Li, Benjamin C. M. Fung and Adel Abusitta
arXiv preprint arXiv:2111.02303
(2021-11-03)
dblp.uni-trier.dePDF
Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults
Charlene H Chu, Rune Nyrup, Kathleen Leslie, Jiamin Shi, Andria Bianchi, Alexandra Lyn, Molly McNichol, Shehroz Khan, Samira Rahimi and Amanda Grenier
(venue unknown)
(2021-11-02)
www.repository.cam.ac.uk
Author Correction: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
Alexandre Payeur, Jordan Guerguiev, Friedemann Zenke, Blake A Richards and Richard Naud
Nature Neuroscience
(2021-11-02)
europepmc.org
Artificial intelligence and its contribution to overcome COVID-19
Arun Chockalingam, Vibha Tyagi, Rahul G Krishnan, Shehroz S Khan, Sarath Chandar, Mirza Faisal Beg, Vidur Mahajan, Parasvil Patel, Sri Teja Mullapudi, Nikita Thakkar, Arrti A Bhasin, Atul Tyagi, Bing Ye and Alex Mihailidis
International Journal of Medical Science and Public Health
(2021-11-01)
www.ijncd.org
Sometimes We Want Ungrammatical Translations
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau and Adina Williams
EMNLP 2021
(2021-11-01)
aclanthology.org
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution
EMNLP 2021
(2021-11-01)
aclanthology.org
Post-Editing Extractive Summaries by Definiteness Prediction.
Jad Kabbara and Jackie Chi Kit Cheung
EMNLP 2021
(2021-11-01)
aclanthology.org
Textual Time Travel: A Temporally Informed Approach to Theory of Mind.
Akshatha Arodi and Jackie Chi Kit Cheung
EMNLP 2021
(2021-11-01)
aclanthology.org
Estimating treatment effect for individuals with progressive multiple sclerosis using deep learning
Jean-Pierre R. Falet, Joshua Durso-Finley, Brennan Nichyporuk, Julien Schroeter, Francesca Bovis, Maria-Pia Sormani, Doina Precup, Tal Arbel and Douglas Lorne Arnold
medRxiv
(2021-11-01)
www.medrxiv.org
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions
Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu and Siva Reddy
EMNLP 2021
(2021-11-01)
aclanthology.orgPDF
Visually Grounded Reasoning across Languages and Cultures
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier and Desmond Elliott
Opioid prescribing among new users for non-cancer pain in the USA, Canada, UK, and Taiwan: A population-based cohort study.
Meghna Jani, Nadyne Girard, David Bates, David Buckeridge, Therese Sheppard, Jack Shiansong Li, Usman Iqbal, Shelly Vik, Colin Weaver, Judy Seidel, William Dixon and Robyn Tamblyn
PLOS Medicine
(2021-11-01)
journals.plos.org
Managing in real-time a vehicle routing plan with time-dependent travel times on a road network
Maha Gmira, Michel Gendreau, Andrea Lodi and Jean-Yves Potvin
Transportation Research Part C-emerging Technologies
(2021-11-01)
www.sciencedirect.com
An empirical study of IoT topics in IoT developer discussions on Stack Overflow
Gias Uddin, Fatima Sabir, Yann-Gaël Guéhéneuc, Omar Alam and Foutse Khomh
Empirical Software Engineering
(2021-11-01)
link.springer.com
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng and Bang Liu
The forgotten role of search queries in IR-based bug localization: an empirical study
Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin and Chanchal K. Roy
Improved retrieval of programming solutions with code examples using a multi-featured score
Rodrigo F. Silva, Mohammad Masudur Rahman, Carlos Eduardo de Carvalho Dantas, Chanchal Kumar Roy, Foutse Khomh and Marcelo de Almeida Maia

2021-10

TorchXRayVision: A library of chest X-ray datasets and models.
Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P. Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir and Hadrien Bertrand
arXiv preprint arXiv:2111.00595
(2021-10-31)
dblp.uni-trier.dePDF
Sustainable AI: Environmental Implications, Challenges and Opportunities.
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz... (5 more)
arXiv preprint arXiv:2111.00364
(2021-10-30)
dblp.uni-trier.dePDF
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
Kartik Ahuja, Jason Hartford and Yoshua Bengio
arXiv preprint arXiv:2110.15796
(2021-10-29)
dblp.uni-trier.dePDF
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint and Michiel van de Panne
arXiv preprint arXiv:2110.15245
(2021-10-28)
dblp.uni-trier.dePDF
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji and Ioannis Mitliagkas
arXiv preprint arXiv:2110.15412
(2021-10-28)
dblp.uni-trier.dePDF
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette and Pascal Germain
arXiv preprint arXiv:2110.15137
(2021-10-28)
dblp.uni-trier.dePDF
Towards a Taxonomy of Graph Learning Datasets.
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf and Ladislav Rampásek
arXiv preprint arXiv:2110.14809
(2021-10-27)
dblp.uni-trier.dePDF
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles.
Yuying Huang, Yiming Yao, Johanna Hansen, Jeremy Mallette, Sandeep Manjanna, Gregory Dudek and David Meger
arXiv preprint arXiv:2110.14738
(2021-10-27)
dblp.uni-trier.dePDF
Shadow Program Committee Initiative: Process and Reflection
Patanamon Thongtanunam, Ayushi Rastogi, Foutse Khomh, Serge Demeyer, Meiyappan Nagappan, Kelly Blincoe and Gregorio Robles
ACM Sigsoft Software Engineering Notes
(2021-10-27)
dl.acm.org
Rademacher Random Projections with Tensor Networks
Beheshteh T. Rakhshan and Guillaume Rabusseau
arXiv preprint arXiv:2110.13970
(2021-10-26)
dblp.uni-trier.dePDF
Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches.
Jazlyn Hellman, Eunbee Jang, Christoph Treude, Chenzhun Huang and Jin L. C. Guo
arXiv: Software Engineering
(2021-10-26)
dblp.uni-trier.dePDF
High-Throughput and Energy-Efficient VLSI Architecture for Ordered Reliability Bits GRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan, Marwan Jalaleddine and Warren J. Gross
arXiv preprint arXiv:2110.13776
(2021-10-26)
dblp.uni-trier.dePDF
Evaluating Montréal's harm reduction interventions for people who inject drugs: protocol for observational study and cost-effectiveness analysis.
Dimitra Panagiotoglou, Michal Abrahamowicz, David L Buckeridge, J Jaime Caro, Eric Latimer, Mathieu Maheu-Giroux and Erin C Strumpf
BMJ Open
(2021-10-26)
europepmc.orgPDF
Partial order: Finding Consensus among Uncertain Feature Attributions
Gabriel Laberge, Yann Pequignot, Foutse Khomh, Mario Marchand and Alexandre Mathieu
arXiv preprint arXiv:2110.13369
(2021-10-26)
dblp.uni-trier.dePDF
Data-Driven Learning of Geometric Scattering Modules for GNNs
Alexander Tong, Frederick Wenkel, Kincaid Macdonald, Smita Krishnaswamy and Guy Wolf
MLSP 2021
(2021-10-25)
dblp.uni-trier.de
Multimodal Data Visualization and Denoising with Integrated Diffusion
Manik Kuchroo, Abhinav Godavarthi, Alexander Tong, Guy Wolf and Smita Krishnaswamy
MLSP 2021
(2021-10-25)
dblp.uni-trier.de
LegoDNN: block-grained scaling of deep neural networks for mobile vision
Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang and Lydia Y. Chen
MOBICOM 2021
(2021-10-25)
dl.acm.org
Lattice Reformulation Cuts
Karen Aardal, Andrea Lodi, Andrea Tramontani, Frederik von Heymann and Laurence A. Wolsey
Siam Journal on Optimization
(2021-10-25)
epubs.siam.org
Hierarchical Graph Neural Nets can Capture Long-Range Interactions
Ladislav Rampasek and Guy Wolf
CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding
Suzanne Ackloo, Rima Al-awar, Rommie E. Amaro, Cheryl H. Arrowsmith, Hatylas Azevedo, Robert A. Batey, Yoshua Bengio, Ulrich A.K. Betz, Cristian G. Bologa, John D. Chodera, Wendy D. Cornell, Ian Dunham, Gerhard F. Ecker, Kristina Edfeldt, Aled M. Edwards, Michael K. Gilson, Claudia R. Gordijo, Gerhard Hessler, Alexander Hillisch, Anders Hogner... (19 more)
ChemRxiv
(2021-10-22)
chemrxiv.org
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization.
Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang and Jianqiang Wang
arXiv preprint arXiv:2110.10921
(2021-10-21)
dblp.uni-trier.dePDF
Stringency of Containment and Closures on the Growth of SARS-CoV-2 in Canada prior to Accelerated Vaccine Roll-Out
David M. Vickers, Stefan Baral, Sharmistha Mishra, Jeff Kwong, Maria Sundaram, Alan Katz, Andrew Calzavara, Mathieu Maheu-Giroux, David L. Buckeridge and Tyler Williamson
Social Science Research Network
(2021-10-21)
autopapers.ssrn.com
SELF-SUPERVISED ACOUSTIC ANOMALY DETECTION VIA CONTRASTIVE LEARNING
Hadi Hojjati and Narges Armanfard
(venue unknown)
(2021-10-21)
www.techrxiv.org
Towards Learning to Imitate from a Single Video Demonstration.
Glen Berseth, Florian Golemo and Christopher Pal
arXiv: Learning
(2021-10-21)
Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks.
Manuela Girotti, Ioannis Mitliagkas and Gauthier Gidel
arXiv preprint arXiv:2110.10815
(2021-10-20)
ui.adsabs.harvard.eduPDF
REAL-M: Towards Speech Separation on Real Mixtures
Cem Subakan, Mirco Ravanelli, Samuele Cornell and François Grondin
arXiv preprint arXiv:2110.10812
(2021-10-20)
dblp.uni-trier.dePDF
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:2110.10139
(2021-10-19)
dblp.uni-trier.dePDF
Compositional Attention: Disentangling Search and Retrieval
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio and Guillaume Lajoie
arXiv preprint arXiv:2110.09419
(2021-10-18)
dblp.uni-trier.dePDF
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing, Pascal Vincent, Yann LeCun and Yuandong Tian
arXiv preprint arXiv:2110.09348
(2021-10-18)
dblp.uni-trier.dePDF
SparseAdapt: Runtime Control for Sparse Linear Algebra on a Reconfigurable Accelerator
Subhankar Pal, Aporva Amarnath, Siying Feng, Michael O'Boyle, Ronald Dreslinski and Christophe Dubach
MICRO 2021
(2021-10-18)
dblp.uni-trier.de
Frustratingly Easy Uncertainty Estimation for Distribution Shift.
Tiago Salvador, Vikram Voleti, Alexander Iannantuono and Adam Oberman
arXiv: Machine Learning
(2021-10-18)
arxiv.orgPDF
Lifelong Topological Visual Navigation.
Rey Reza Wiyatno, Anqi Xu and Liam Paull
arXiv preprint arXiv:2110.08488
(2021-10-16)
dblp.uni-trier.dePDF
The Power of Prompt Tuning for Low-Resource Semantic Parsing.
Nathan Schucher, Siva Reddy and Harm de Vries
arXiv preprint arXiv:2110.08525
(2021-10-16)
dblp.uni-trier.dePDF
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-Trained Language Models.
Nicholas Meade, Elinor Poole-Dayan and Siva Reddy
arXiv preprint arXiv:2110.08527
(2021-10-16)
dblp.uni-trier.dePDF
Graph Neural Networks with Learnable Structural and Positional Representations.
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio and Xavier Bresson
arXiv preprint arXiv:2110.07875
(2021-10-15)
dblp.uni-trier.dePDF
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
Andreas Madsen, Nicholas Meade, Vaibhav Adlakha and Siva Reddy
arXiv preprint arXiv:2110.08412
(2021-10-15)
dblp.uni-trier.dePDF
Trade-offs of Local SGD at Scale: An Empirical Study.
Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos and Nicolas Ballas
arXiv preprint arXiv:2110.08133
(2021-10-15)
dblp.uni-trier.dePDF
Exposing Query Identification for Search Transparency.
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz and Asia J. Biega
arXiv: Information Retrieval
(2021-10-14)
www.microsoft.comPDF
Evaluation of real-life use of Point-Of-Care Rapid Antigen TEsting for SARS-CoV-2 in schools for outbreak control (EPOCRATES)
Ana C. Blanchard, Marc Desforges, Annie-Claude Labbe, Cat Tuong Nguyen, Yves Petit, Dominic Besner, Kate Zinszer, Olivier Seguin, Zineb Laghdir, Kelsey Adams, Marie-Eve Benoit, Genevieve Leduc, Jean Longtin, Ioannis Ragoussis, David L. Buckeridge and Caroline Quach
medRxiv
(2021-10-14)
search.bvsalud.orgPDF
LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing.
Dora Jambor and Dzmitry Bahdanau
arXiv: Computation and Language
(2021-10-14)
dblp.uni-trier.dePDF
Reduced Axon Calibre in the Associative Striatum of the Sapap3 Knockout Mouse.
Eliana Lousada, Mathieu Boudreau, Julien Cohen-Adad, Brahim Nait Oumesmar, Eric Burguière and Christiane Schreiweis
Brain Sciences
(2021-10-14)
www.mdpi.com
Block Contextual MDPs for Continual Learning.
Shagun Sodhani, Franziska Meier, Joelle Pineau and Amy Zhang
arXiv preprint arXiv:2110.06972
(2021-10-13)
dblp.uni-trier.dePDF
Compositional Generalization in Dependency Parsing
arXiv preprint arXiv:2110.06843
(2021-10-13)
dblp.uni-trier.dePDF
Population modeling with machine learning can enhance measures of mental health.
Kamalaker Dadi, Gaël Varoquaux, Josselin Houenou, Danilo Bzdok, Bertrand Thirion and Denis Engemann
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu and Zhen Wen
arXiv preprint arXiv:2110.06892
(2021-10-13)
dblp.uni-trier.dePDF
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T.
Nilser J. Laines Medina, Charley Gros, Julien Cohen-Adad, Virginie Callot and Arnaud Le Troter
arXiv preprint arXiv:2110.06516
(2021-10-13)
dblp.uni-trier.dePDF
Dynamic Inference with Neural Interpreters
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello and Bernhard Schölkopf
Temporal Abstraction in Reinforcement Learning with the Successor Representation.
Marlos C. Machado, André Barreto and Doina Precup
arXiv preprint arXiv:2110.05740
(2021-10-12)
ui.adsabs.harvard.eduPDF
Diagnosing as autistic people increasingly distant from prototypes lead neither to clinical benefit nor to the advancement of knowledge.
Laurent Mottron and Danilo Bzdok
Molecular Psychiatry
(2021-10-12)
www.nature.com
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
Marc-Andre Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux and Danilo Bzdok
arXiv preprint arXiv:2110.06135
(2021-10-12)
ui.adsabs.harvard.eduPDF
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng and Bang Liu
arXiv preprint arXiv:2110.06354
(2021-10-12)
dblp.uni-trier.dePDF
A cognitive fingerprint in human random number generation.
Marc-André Schulz, Sebastian Baier, Benjamin Timmermann, Danilo Bzdok and Karsten Witt
Scientific Reports
(2021-10-12)
europepmc.org
GPU acceleration of finite state machine input execution: Improving scale and performance
Vanya Yaneva, Ajitha Rajan and Christophe Dubach
Software Testing, Verification & Reliability
(2021-10-08)
onlinelibrary.wiley.com
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity.
Eduard Gorbunov, Nicolas Loizou and Gauthier Gidel
arXiv preprint arXiv:2110.04261
(2021-10-08)
ui.adsabs.harvard.eduPDF
A General Framework for the Disintegration of PAC-Bayesian Bounds
Paul Viallard, Pascal Germain, Amaury Habrard and Emilie Morvant
arXiv: Machine Learning
(2021-10-08)
hal.archives-ouvertes.frPDF
Pre-training Molecular Graph Representation with 3D Geometry.
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo and Jian Tang
arXiv preprint arXiv:2110.07728
(2021-10-07)
dblp.uni-trier.dePDF
Lightweight Speech Enhancement in Unseen Noisy and Reverberant Conditions using KISS-GEV Beamforming.
Thomas Bernard, Cem Subakan and François Grondin
arXiv: Audio and Speech Processing
(2021-10-07)
arxiv.orgPDF
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernandez-Garcia and Yoshua Bengio
arXiv preprint arXiv:2110.02871
(2021-10-06)
dblp.uni-trier.dePDF
Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond.
Dinghuai Zhang, Jie Fu, Yoshua Bengio and Aaron C. Courville
arXiv preprint arXiv:2110.03372
(2021-10-06)
ui.adsabs.harvard.eduPDF
Learning Multi-Objective Curricula for Deep Reinforcement Learning.
Jikun Kang, Miao Liu, Abhinav Gupta, Chris Pal, Xue Liu and Jie Fu
arXiv preprint arXiv:2110.03032
(2021-10-06)
ui.adsabs.harvard.eduPDF
SparsePro: an efficient genome-wide fine-mapping method integrating summary statistics and functional annotations
Wenmin Zhang, Hamed Najafabadi and Yue Li
bioRxiv
(2021-10-06)
www.biorxiv.orgPDF
Robustness and sample complexity of model-based MARL for general-sum Markov games.
Jayakumar Subramanian, Amit Sinha and Aditya Mahajan
arXiv preprint arXiv:2110.02355
(2021-10-05)
128.84.4.34PDF
Circulating proteins to predict adverse COVID-19 outcomes
Chen-Yang Su Mr., Sirui Zhou, Edgar Gonzalez-Kozlova, Guillaume Butler-Laporte, Elsa Brunet-Ratnasingham, Tomoko Nakanishi, Wonseok Jeon, David Morrison, Laetitia Laurent, Joanthan Afilalo, Marc Afilalo, Danielle Henry, Yiheng Chen, Julia Carrasco-Zanini, Yossi Farjoun, Maik Pietzner, Nofar Kimchi, Zaman Afrasiabi, Nardin Rezk, Meriem Bouab... (46 more)
medRxiv
(2021-10-05)
search.bvsalud.org
A Survey on Deep Learning for Human Activity Recognition
Fuqiang Gu, Mu-Huan Chung, Mark Chignell, Shahrokh Valaee, Baoding Zhou and Xue Liu
ACM Computing Surveys
(2021-10-04)
dl.acm.org
On the robustness of generalization of drug-drug interaction models.
Rogia Kpanou, Mazid Abiodoun Osseni, Prudencio Tossou, Francois Laviolette and Jacques Corbeil
BMC Bioinformatics
(2021-10-04)
bmcbioinformatics.biomedcentral.com
Capacity Expansion in the College Admission Problem.
Federico Bobbio, Margarida Carvalho, Andrea Lodi and Alfredo Torrico
arXiv preprint arXiv:2110.00734
(2021-10-02)
ui.adsabs.harvard.eduPDF
TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching.
Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries and Siva Reddy
arXiv: Computation and Language
(2021-10-02)
ui.adsabs.harvard.eduPDF
Normalizing automatic spinal cord cross-sectional area measures
S. Bedard and J. Cohen-Adad
bioRxiv
(2021-10-02)
www.biorxiv.orgPDF
General Cops and Robbers games with randomness
Frédéric Simard, Josée Desharnais and François Laviolette
ORB-SLAM with Near-infrared images and Optical Flow data
Antonio Buemi, Arcangelo Bruna, Sylvain Petinot and Nicolas Roux
ICCV 2021
(2021-10-01)
openaccess.thecvf.comPDF
Hartley Stochastic Computing For Convolutional Neural Networks
S. H. Mozafari, J. J. Clark, W. J. Gross and B. H. Meyer
SIPS 2021
(2021-10-01)
ieeexplore.ieee.org
Multi-Stage Fusion for Multi-Class 3D Lidar Detection
Zejie Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Jian Tang, Chaomin Shen and Yaxin Peng
ICCV 2021
(2021-10-01)
openaccess.thecvf.comPDF
CD177 modulates the function and homeostasis of tumor-infiltrating regulatory T cells.
Myung-Chul Kim, Nicholas Borcherding, Kawther K. Ahmed, Andrew P. Voigt, Ajaykumar Vishwakarma, Ryan Kolb, Paige N. Kluz, Gaurav Pandey, Umasankar De, Theodore Drashansky, Eric Y. Helm, Xin Zhang, Katherine N. Gibson-Corley, Julia Klesney-Tait, Yuwen Zhu, Jinglu Lu, Jinsong Lu, Xian Huang, Hongrui Xiang, Jinke Cheng... (15 more)
Nature Communications
(2021-10-01)
www-nature-com-443.webvpn.bjmu.tsg211.com
Season-Based Occupancy Prediction in Residential Buildings Using Machine Learning Models
Bowen Yang, Fariborz Haghighat, Benjamin C.M. Fung and Karthik Panchabikesan
e-Prime
(2021-10-01)
api.elsevier.com
Congenital heart disease phenotyping in large claims databases
Chao Li, Aihua Liu, Liming Guo, Yi Yang, Yue Li and Ariane Marelli
International Journal of Cardiology Congenital Heart Disease
(2021-10-01)
api.elsevier.com
Fault-Tolerance of Binarized and Stochastic Computing-based Neural Networks
Amir Ardakani, Arash Ardakani and Warren J. Gross
SIPS 2021
(2021-10-01)
ieeexplore.ieee.org
Reconstruction for Powerful Graph Representations.
Leonardo Cotta, Christopher Morris and Bruno Ribeiro
arXiv preprint arXiv:2110.00577
(2021-10-01)
dblp.uni-trier.dePDF
Multiview Feature Selection for Single-View Classification
Majid Komeili, Narges Armanfard and Dimitrios Hatzinakos
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2021-10-01)
ieeexplore.ieee.org
TrafficVis: Visualizing Suspicious Meta-Clusters for Human Trafficking Detection
Catalina Vajiac, Andreas Olligschlaeger, Yifei Li, Pratheeksha Nair, Meng-Chieh Lee, Namyong Park, Reihaneh Rabbany, Duen Horng Chau and Christos Faloutsos
Ieee Vis: Visualization & Visual Analytics
(2021-10-01)
virtual.ieeevis.orgPDF
CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation.
Tariq Daouda, Maude Dumont-Lagacé, Albert Feghaly, Yahya Benslimane, Rébecca Panes, Mathieu Courcelles, Mohamed Benhammadi, Lea Harrington, Pierre Thibault, François Major, Yoshua Bengio, Étienne Gagnon, Sébastien Lemieux and Claude Perreault
PLOS Computational Biology
(2021-10-01)
www.ncbi.nlm.nih.gov[Also on bioRxiv (2021-02-08)]
Publisher Correction: Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data
Yifan Zhao, Huiyu Cai, Zuobai Zhang, Jian Tang and Yue Li
Nature Communications
(2021-10-01)
www-nature-com-443.webvpn.bjmu.tsg211.com
Transfer functions: learning about a lagged exposure-outcome association in time-series data
Mamiya H, Schmidt Am, Moodie Ee and Buckeridge Dl
medRxiv
(2021-10-01)
europepmc.orgPDF
THE EFFECT SIZE OF GENES ON COGNITIVE ABILITIES IS LINKED TO THEIR EXPRESSION ALONG THE MAJOR HIERARCHICAL GRADIENT IN THE HUMAN BRAIN
Sébastien Jacquemont, Guillaume Huguet, Elise Douard, Zohra Saci, Guillaume Dumas, Laura Almasy and David Glahn
European Neuropsychopharmacology
(2021-10-01)
api.elsevier.com
Inter-Brain Synchronization: From Neurobehavioral Correlation to Causal Explanation
International Journal of Psychophysiology
(2021-10-01)
api.elsevier.com
Stochastic gradient descent with Polyak’s learning rate
Mariana Prazeres and Adam M. Oberman
Journal of Scientific Computing
(2021-10-01)
link.springer.com
High-Throughput VLSI Architecture for GRAND Markov Order
Syed Mohsin Abbas, Marwan Jalaleddine and Warren J. Gross
SSR: Semi-Supervised Soft Rasterizer for Single-View 2D to 3D Reconstruction
Issam H. Laradji, Pau Rodríguez, David Vázquez and Derek Nowrouzezahrai
Reward is enough
David Silver, Satinder P. Singh, Doina Precup and Richard S. Sutton
Artificial Intelligence
(2021-10-01)
www.sciencedirect.com
Weighted automata are compact and actively learnable
Artem Kaznatcheev and Prakash Panangaden

2021-09

Overcoming Label Ambiguity with Multi-label Iterated Learning
sai rajeswar mudumba, Pau Rodriguez, Soumye Singhal, David Vazquez and Aaron Courville
(venue unknown)
(2021-09-29)
openreview.netPDF
Exploring the Optimality of Tight-Frame Scattering Networks
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Sajjad Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg and Guy Wolf
(venue unknown)
(2021-09-29)
openreview.net
Good Scientific Practice in MEEG Research: Progress and Perspectives
Guiomar Niso, Laurens Krol, Etienne Combrisson, Anne-Sophie Dubarry, Madison Elliott, Clément François, Yseult Héjja-Brichard, Sophie Herbst, Karim Jerbi, Vanja Kovic, Katia Lehongre, Steven Luck, Manuel Mercier, John Mosher, Yuri Pavlov, Aina Puce, Antonio Schettino, Daniele Schön, Walter Sinnott-Armstrong, Bertille Somon... (6 more)
NeuroImage
(2021-09-29)
research.aalto.fi
Data-driven approaches for genetic characterization of SARS-CoV-2 lineages
Fatima Mostefai, Isabel Gamache, Jessie Huang, Arnaud N’Guessan, Justin Pelletier, Ahmad Pesaranghader, David Hamelin, Carmen Lia Murall, Raphaël Poujol, Jean-Christophe Grenier, Martin Smith, Etienne Caron, Morgan Craig, Jesse Shapiro, Guy Wolf, Smita Krishnaswamy and Julie G. Hussin
bioRxiv
(2021-09-29)
www.biorxiv.org
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Gabriele Prato, Simon Guiroy, Ethan Caballero, Irina Rish and Sarath Chandar
arXiv preprint arXiv:2110.06990
(2021-09-29)
ui.adsabs.harvard.eduPDF
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents.
Anthony Courchesne, Andrea Censi and Liam Paull
arXiv preprint arXiv:2109.14516
(2021-09-29)
ui.adsabs.harvard.eduPDF
Topological Analysis of Single-Cell Hierarchy Reveals Inflammatory Glial Landscape of Macular Degeneration
Manik Kuchroo, Marcello DiStasio, Eric Song, Eda Calapkulu, Le Zhang, Maryam Ige, Amar H. Sheth, Madhvi Menon, Alexander Tong, Abhinav Godavarthi, Yu Xing, Scott Gigante, Holly Steach, Jessie Huang, Guillaume Huguet, Janhavi Narain, George Mourgkos, Rahul M. Dhodapkar, Matthew J. Hirn, Bastian Rieck... (3 more)
Social Science Research Network
(2021-09-29)
papers.ssrn.com
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy, Hanju Lee and Liam Paull
arXiv preprint arXiv:2109.13913
(2021-09-28)
ui.adsabs.harvard.eduPDF
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems.
Luca Accorsi, Andrea Lodi and Daniele Vigo
arXiv preprint arXiv:2109.13983
(2021-09-28)
ui.adsabs.harvard.eduPDF
Estimating the lagged effect of price discounting: a time-series study using transaction data of sugar sweetened beverages
Hiroshi Mamiya, Alexandra M. Schmidt, Erica E. M. Moodie and David L. Buckeridge
medRxiv
(2021-09-28)
www.medrxiv.orgPDF
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
David Bergman, Teng Huang, Philip Brooks, Andrea Lodi and Arvind U. Raghunathan
Gotta Go Fast with Score-Based Generative Models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman and Ioannis Mitliagkas
The Symbiosis of Deep Learning and Differential Equations
(2021-09-27)
openreview.net
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling.
Reza Azad, Lucas Rouhier and Julien Cohen-Adad
International Workshop on Machine Learning in Medical Imaging
(2021-09-27)
128.84.4.18PDF[Also on arXiv preprint arXiv:2108.06554 (2021-08-14)]
Fast Successive-Cancellation List Flip Decoding of Polar Codes
Nghia Doan, Seyyed Ali Hashemi and Warren J. Gross
arXiv preprint arXiv:2109.12239
(2021-09-25)
128.84.4.34PDF
Multi-task Learning with Domain Knowledge for Molecular Property Prediction
Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai and Jian Tang
NeurIPS 2021 AI for Science Workshop
(2021-09-24)
openreview.net
List-GRAND: A practical way to achieve Maximum Likelihood Decoding.
Syed Mohsin Abbas, Marwan Jalaleddine and Warren J. Gross
arXiv preprint arXiv:2109.12225
(2021-09-24)
dblp.uni-trier.dePDF
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data.
M. Godbout, A. Lachance, F. Antaki, A. Dirani and A. Durand
arXiv preprint arXiv:2109.09463
(2021-09-20)
ui.adsabs.harvard.eduPDF
Computational models of category-selective brain regions enable high-throughput tests of selectivity
N. Apurva Ratan Murty, Pouya Bashivan, Alex Abate, James J. DiCarlo and Nancy Kanwisher
Nature Communications
(2021-09-20)
www-nature-com-443.webvpn.bjmu.tsg211.com
CARL: Conditional-value-at-risk Adversarial Reinforcement Learning.
Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati and Audrey Durand
arXiv preprint arXiv:2109.09470
(2021-09-20)
ui.adsabs.harvard.edu
From the Group to the Individual in Schizophrenia Spectrum Disorders: Biomarkers of Social Cognitive Impairments and Therapeutic Translation.
Lindsay D. Oliver, Colin Hawco, Joseph D. Viviano and Aristotle N. Voineskos
Biological Psychiatry
(2021-09-20)
www.sciencedirect.com
Edge-similarity-aware Graph Neural Networks.
Vincent Mallet, Carlos G. Oliver and William L. Hamilton
arXiv preprint arXiv:2109.09432
(2021-09-20)
dblp.uni-trier.dePDF
Propagating Uncertainty Across Cascaded Medical Imaging Tasks For Improved Deep Learning Inference
Raghav Mehta, Thomas Christinck, Tanya Nair, Aurelie Bussy, Swapna Premasiri, Manuela Costantino, Mallar Chakravarty, Douglas L Arnold, Yarin Gal and Tal Arbel
IEEE Transactions on Medical Imaging
(2021-09-20)
ieeexplore.ieee.org
IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision
Mohammadreza Sadeghi and Narges Armanfard
ICIP 2021
(2021-09-19)
xplorestaging.ieee.org
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni and Frank Wood
Twist-Angle-Dependent Ultrafast Charge Transfer in MoS2-Graphene van der Waals Heterostructures.
Duan Luo, Jian Tang, Xiaozhe Shen, Fuhao Ji, Jie Yang, Stephen Weathersby, Michael E Kozina, Zhijiang Chen, Jun Xiao, Yusen Ye, Ting Cao, Guangyu Zhang, Xijie Wang and Aaron M Lindenberg
Nano Letters
(2021-09-16)
pubmed.ncbi.nlm.nih.gov
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin Leung and Jian Tang
IEEE Transactions on Mobile Computing
(2021-09-16)
experts.syr.edu
Optimizing Neuroprosthetic Therapies via Autonomous Learning Agents
Marco Bonizzato, Sandrine L. Côté, Elena Massai, Rose Guay-Hottin, Samuel Laferrière, Stephan Quessy, Guillaume Lajoie, Marina Martinez and Numa Dancause
Social Science Research Network
(2021-09-16)
papers.ssrn.com
Social isolation is linked to classical risk factors of Alzheimer's disease-related dementias
Kimia Shafighi, Sylvia Villeneuve, Pedro Rosa-Neto, AmanPreet Badhwar, Judes Poirier, Vaibhav Sharma, Yasser Iturria-Medina, Patricia P Silveira, Laurette Dube, David Glahn and Danilo Bzdok
bioRxiv
(2021-09-15)
www.biorxiv.orgPDF
Connectivity alterations in autism reflect functional idiosyncrasy.
Oualid Benkarim, Casey Paquola, Bo-yong Park, Seok-Jun Hong, Jessica Royer, Reinder Vos de Wael, Sara Lariviere, Sofie L. Valk, Danilo Bzdok, Laurent Mottron and Boris C. Bernhardt
Communications Biology
(2021-09-15)
europepmc.orgPDF
Periodic Freight Demand Estimation for Large-scale Tactical Planning.
Greta Laage, Emma Frejinger and Gilles Savard
arXiv: Learning
(2021-09-15)
arxiv.orgPDF
Routine Bandits: Minimizing Regret on Recurring Problems.
Hassan Saber, Léo Saci, Odalric-Ambrym Maillard and Audrey Durand
ECML 2021
(2021-09-13)
hal.archives-ouvertes.frPDF
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
Paul Viallard, Pascal Germain, Amaury Habrard and Emilie Morvant
Pyrolysis of an Artificially Matured Shale Havning Type Ii Kerogen and Its Retained Oil: Implications for Late Gas Potential
W. Jia, X.L. Liu, Q. Wang and P. Peng
30th International Meeting on Organic Geochemistry (IMOG 2021)
(2021-09-12)
www.earthdoc.org
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge.
Uzay Macar, Enamundram Naga Karthik, Charley Gros, Andréanne Lemay and Julien Cohen-Adad
arXiv preprint arXiv:2109.05409
(2021-09-12)
ui.adsabs.harvard.eduPDF
Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG
Ana Sofía Hincapié Casas, Tarek Lajnef, Annalisa Pascarella, Hélène Guiraud-Vinatea, Hannu Laaksonen, Dimitri J. Bayle, Karim Jerbi and Véronique Boulenger
NeuroImage
(2021-09-12)
www.sciencedirect.com
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang and Doina Precup
arXiv preprint arXiv:2109.05641
(2021-09-12)
ui.adsabs.harvard.eduPDF
Transplantation of bacteriophages from ulcerative colitis patients shifts the gut bacteriome and exacerbates severity of DSS-colitis
A. Sinha, Y. Li, M. Khan Mirzaei, M. Shamash, R. Samadfam, I. L. King and C. F. Maurice
bioRxiv
(2021-09-11)
www.biorxiv.orgPDF
Interindividual Differences in Cortical Thickness and Their Genomic Underpinnings in Autism Spectrum Disorder.
Christine Ecker, Charlotte M. Pretzsch, Anke Bletsch, Caroline Mann, Tim Schaefer, Sara Ambrosino, Julian Tillmann, Afsheen Yousaf, Andreas Chiocchetti, Michael V. Lombardo, Varun Warrier, Nico Bast, Carolin Moessnang, Sarah Baumeister, Flavio Dell’Acqua, Dorothea L. Floris, Mariam Zabihi, Andre Marquand, Freddy Cliquet, Claire Leblond... (19 more)
American Journal of Psychiatry
(2021-09-10)
ajp.psychiatryonline.org
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Torsten Scholak, Nathan Schucher and Dzmitry Bahdanau
Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.
Julien Cohen-Adad, Eva Alonso-Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Büchel, Matthew Budde, Virginie Callot, Anna J.E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostál, Julien Doyon, Adam Dvorak, Falk Eippert... (71 more)
Scientific Data
(2021-09-10)
europepmc.orgPDF
Decision Models and Technology Can Help Psychiatry Develop Biomarkers.
Daniel S Barron, Justin T Baker, Kristin S Budde, Danilo Bzdok, Simon B Eickhoff, Karl J Friston, Peter T Fox, Paul Geha, Stephen Heisig, Avram Holmes, Jukka-Pekka Onnela, Albert Powers, David Silbersweig and John H Krystal
Frontiers in Psychiatry
(2021-09-09)
www.frontiersin.org
The challenge of reproducible ML: an empirical study on the impact of bugs.
Emilio Rivera-Landos, Foutse Khomh and Amin Nikanjam
arXiv preprint arXiv:2109.03991
(2021-09-09)
ui.adsabs.harvard.eduPDF
RNAglib: A Python Package for RNA 2.5D Graphs
Vincent Mallet, Carlos Oliver, Jonathan Broadbent, William L. Hamilton and Jérôme Waldispühl
arXiv preprint arXiv:2109.04434
(2021-09-09)
ui.adsabs.harvard.eduPDF
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning.
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong and Doina Precup
arXiv preprint arXiv:2109.03975
(2021-09-08)
dblp.uni-trier.dePDF
Home alone: A population neuroscience investigation of brain morphology substrates
MaryAnn Noonan, Chris Zajner and Danilo Bzdok
bioRxiv
(2021-09-07)
www.biorxiv.orgPDF
Social belonging: Brain structure and function is linked to membership in sports teams, religious groups and social clubs
Carolin Kieckhaefer, Leonhard Schilbach and Danilo Bzdok
bioRxiv
(2021-09-07)
www.biorxiv.orgPDF
Problems in the deployment of machine-learned models in health care.
Joseph Paul Cohen, Tianshi Cao, Joseph D Viviano, Chin-Wei Huang, Michael Fralick, Marzyeh Ghassemi, Muhammad Mamdani, Russell Greiner and Yoshua Bengio
Canadian Medical Association Journal
(2021-09-07)
pesquisa.bvsalud.orgPDF
An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs
Markus Leitner, Andrea Lodi, Roberto Roberti and Claudio Sole
arXiv preprint arXiv:2109.03357
(2021-09-07)
ui.adsabs.harvard.eduPDF
Simple Video Generation using Neural ODEs.
David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou and Christopher Pal
arXiv: Computer Vision and Pattern Recognition
(2021-09-07)
dblp.uni-trier.dePDF
Assessing the Electronic Evidence System Needs of Canadian Public Health Professionals: Cross-sectional Study.
Bandna Dhaliwal, Sarah E Neil-Sztramko, Nikita Boston-Fisher, David L Buckeridge and Maureen Dobbins
JMIR public health and surveillance
(2021-09-07)
publichealth.jmir.org
Learning Neural Causal Models with Active Interventions
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer and Nan Rosemary Ke
arXiv preprint arXiv:2109.02429
(2021-09-06)
128.84.4.34PDF
Proceedings 17th International Conference on Quantum Physics and Logic: Preface
Pablo Arrighi, Shane Mansfield, Prakash Panangaden and Benoît Valiron
Electronic Proceedings in Theoretical Computer Science
(2021-09-06)
dx.doi.org
Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data.
Yifan Zhao, Huiyu Cai, Zuobai Zhang, Jian Tang and Yue Li
Decoding Reed-Muller Codes with Successive Factor-Graph Permutations.
Nghia Doan, Seyyed Ali Hashemi, Marco Mondelli and Warren J. Gross
arXiv preprint arXiv:2109.02122
(2021-09-05)
ui.adsabs.harvard.eduPDF
Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal.
Samira Abbasgholizadeh Rahimi, Gauri Sharma, Patrick Archambault, Herve Tchala Vignon Zomahoun, Sam Chandavong, Nathalie Rheault, Sabrina T Wong, Lyse Langlois, Yves Couturier, Jose L Salmeron, Marie-Pierre Gagnon and Jean Légaré
Journal of Medical Internet Research
(2021-09-03)
europepmc.org
Tensor of quantitative equational theories
Giorgio Bacci, Radu Mardare, Prakash Panangaden and Gordon D. Plotkin
CALCO 2021
(2021-09-03)
drops.dagstuhl.dePDF
Quantitative 7-Tesla Imaging of Cortical Myelin Changes in Early Multiple Sclerosis
Valeria Barletta, Elena Herranz, Constantina A. Treaba, Ambica Mehndiratta, Russell Ouellette, Gabriel Mangeat, Tobias Granberg, Jacob A. Sloane, Eric C. Klawiter, Julien Cohen-Adad and Caterina Mainero
Frontiers in Neurology
(2021-09-03)
www.frontiersin.org
Proceedings 17th International Conference on Quantum Physics and Logic
Benoît Valiron, Shane Mansfield, Pablo Arrighi and Prakash Panangaden
arXiv preprint arXiv:2109.01534
(2021-09-03)
ui.adsabs.harvard.eduPDF
Can Open Source Licenses Help Regulate Lethal Autonomous Weapons
Cheng Lin and AJung Moon
IEEE Technology and Society Magazine
(2021-09-02)
doi.org
Automated Traceability for Domain Modelling Decisions Empowered by Artificial Intelligence
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo and Jorg Kienzle
RE 2021
(2021-09-01)
dblp.uni-trier.de
DoMoBOT: A Modelling Bot for Automated and Traceable Domain Modelling
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Jorg Kienzle
RE 2021
(2021-09-01)
dblp.uni-trier.de
Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow.
Alaleh Hamidi, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta and Mohammad Hamidi
SCAM 2021
(2021-09-01)
dblp.uni-trier.de
Skin-Inspired High-Performance Active-Matrix Circuitry for Multimodal User-Interaction
Jing Zhao, Zheng Wei, Zhongyi Li, Jinran Yu, Jian Tang, Guangyu Zhang and Zhonglin Wang
Advanced Functional Materials
(2021-09-01)
onlinelibrary.wiley.com
How the type and valence of feedback information influence volunteers’ knowledge contribution in citizen science projects
Jian Tang, Xinxue Zhou, Yuxiang (Chris) Zhao and Tianmei Wang
Information Processing and Management
(2021-09-01)
www.sciencedirect.com
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.
Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui and Zhiyuan Liu
IEEE Transactions on Neural Networks
(2021-09-01)
pubmed.ncbi.nlm.nih.gov
Issue Link Label Recovery and Prediction for Open Source Software.
Alexander Nicholson and Jin L. C. Guo
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
(2021-09-01)
dblp.uni-trier.dePDF
On the estimation of discrete choice models to capture irrational customer behaviors
Sanjay Dominik Jena, Andrea Lodi and Claudio Sole
Promoting and Optimizing the Use of 3D-Printed Objects in Spontaneous Recognition Memory Tasks in Rodents: A Method for Improving Rigor and Reproducibility.
Mehreen Inayat, Arely Cruz-Sanchez, Hayley H. A. Thorpe, Jude A. Frie, Blake A Richards, Jibran Y. Khokhar and Maithe Arruda-Carvalho
eNeuro
(2021-09-01)
www.eneuro.org
A Survey of Exploration Methods in Reinforcement Learning.
Susan Amin, Maziar Gomrokchi, Harsh Satija, Herke van Hoof and Doina Precup
arXiv preprint arXiv:2109.00157
(2021-09-01)
ui.adsabs.harvard.eduPDF
Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm
Tien Mai, Xinlian Yu, Song Gao and Emma Frejinger
Transportation Research Part B-methodological
(2021-09-01)
www.sciencedirect.comPDF
Design Smells in Deep Learning Programs: An Empirical Study.
Amin Nikanjam and Foutse Khomh
I-MAD: Interpretable malware detector using Galaxy Transformer
Miles Q. Li, Benjamin C.M. Fung, Philippe Charland and Steven H.H. Ding
Learning function from structure in neuromorphic networks
Laura E. Suárez, Blake A. Richards, Guillaume Lajoie and Bratislav Misic
Nature Machine Intelligence
(2021-09-01)
europepmc.org[Also on bioRxiv (2020-11-11)]

2021-08

A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices with Heterogeneous Hardware
Zhiyuan Xu, Dejun Yang, Chengxiang Yin, Jian Tang, Yanzhi Wang and Guoliang Xue
IEEE Transactions on Mobile Computing
(2021-08-30)
ieeexplore.ieee.org
Improved Dimming Scheme based on Non-DC Free RLL Codes for VLC
Elie Ngomseu Mambou, Thibaud Tonnellier and Warren J. Gross
2021 11th International Symposium on Topics in Coding (ISTC
(2021-08-30)
dblp.uni-trier.de
Reduced Complexity RPA Decoder for Reed-Muller Codes
Jiajie Li, Syed Mohsin Abbas, Thibaud Tonnellier and Warren J. Gross
2021 11th International Symposium on Topics in Coding (ISTC
(2021-08-30)
dblp.uni-trier.de
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.
Meng Cao, Yue Dong and Jackie Chi Kit Cheung
arXiv preprint arXiv:2109.09784
(2021-08-30)
dblp.uni-trier.dePDF
Weakly supervised underwater fish segmentation using affinity LCFCN
Issam H. Laradji, Alzayat Saleh, Pau Rodriguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi and David Vazquez
Scientific Reports
(2021-08-30)
www.nature.com
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville and Marc G. Bellemare
Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform
Nghia Doan, Seyyed Ali Hashemi and Warren J. Gross
arXiv preprint arXiv:2108.12550
(2021-08-28)
ui.adsabs.harvard.eduPDF
Approximate Bayesian Optimisation for Neural Networks
Nadhir Hassen and Irina Rish
arXiv preprint arXiv:2108.12461
(2021-08-27)
128.84.4.18PDF
Enhanced electrokinetic remediation removal heavy metal from sludge assisted by the combined biodegradable iminodisuccinic acid and electrolyte circulation technology
Jian Tang, Hengjun Tang, Haiyue Wang, Weiping Sima, Rui Liang, Yi Liao and Chao Liang
International Journal of Environmental Analytical Chemistry
(2021-08-26)
www.tandfonline.com
Variability in Brain Structure and Function Reflects Lack of Peer Support
Matthias Schurz, Lucina Q Uddin, Philipp Kanske, Claus Lamm, Jérôme Sallet, Boris C Bernhardt, Rogier B Mars and Danilo Bzdok
Cerebral Cortex
(2021-08-26)
academic.oup.com
Graph Contrastive Pre-training for Effective Theorem Reasoning.
Zhaoyu Li, Binghong Chen and Xujie Si
arXiv: Learning
(2021-08-24)
ui.adsabs.harvard.eduPDF
Fall 2021 Resurgence and COVID-19 Seroprevalence in Canada: Modelling waning and boosting COVID-19 immunity in Canada, A Canadian Immunization Research Network Study
David W Dick, Lauren M Childs, Zhilan Feng, Jing Li, Gergely Rost, David Buckeridge, Nick Ogden and Jane M Heffernan
medRxiv
(2021-08-24)
pesquisa.bvsalud.orgPDF
Monitoring non-pharmaceutical public health interventions during the COVID-19 pandemic.
Yannan Shen, Guido Powell, Iris Ganser, Qulu Zheng, Chris Grundy, Anya Okhmatovskaia and David L. Buckeridge
Scientific Data
(2021-08-24)
www.nature.com
Increased responsiveness to punishment of cocaine self-administration after experience with high punishment.
Audrey Durand, Paul Girardeau, Luana Freese and Serge H. Ahmed
Neuropsychopharmacology
(2021-08-24)
www-nature-com-443.webvpn.bjmu.tsg211.com
Generating community measures of food purchasing activities using store-level electronic grocery transaction records: an ecological study in Montreal, Canada.
Hiroshi Mamiya, Alexandra M Schmidt, Erica Em Moodie, Yu Ma and David L Buckeridge
Public Health Nutrition
(2021-08-23)
europepmc.org
Generating high performance code for irregular data structures using dependent types
Federico Pizzuti, Michel Steuwer and Christophe Dubach
Proceedings of the 9th ACM SIGPLAN International Workshop on Functional High-Performance and Numerical Computing
(2021-08-22)
dblp.uni-trier.dePDF
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
Salva Rühling Cachay, Venkatesh Ramesh, Jason N. S. Cole, Howard Barker and David Rolnick
Deep Learning for Detecting Extreme Weather Patterns
Prabhat Ram Mayur Mudigonda, Karthik Kashinath, Evan Racah, Ankur Mahesh, Yunjie Liu, Christopher Beckham, Jim Biard, Thorsten Kurth, Sookyung Kim, Samira Kahou, Tegan Maharaj, Burlen Loring, Christopher Pal, Travis O'Brien, Ken Kunkel, Michael F. Wehner and William D. Collins
Deep Learning for the Earth Sciences
(2021-08-20)
onlinelibrary.wiley.com
Magnetoencephalography Resting-State Correlates of Executive and Language Components of Verbal Fluency
Victor Oswald, Younes Zerouali, Aubrée Boulet-Craig, Maja Krajinovic, Caroline Laverdière, Daniel Sinnett, Pierre Jolicoeur, Sarah Lippé, Karim Jerbi and Philippe Robaey
(venue unknown)
(2021-08-20)
www.researchsquare.comPDF
Subjective social isolation is linked to subregional alterations in hippocampus-default network co-variation
Chris Zajner, Robert Nathan Spreng and Danilo Bzdok
bioRxiv
(2021-08-19)
www.biorxiv.orgPDF
Lacking social support is associated with structural divergences in hippocampus-default network co-variation patterns
Chris Zajner, Nathan Spreng and Danilo Bzdok
bioRxiv
(2021-08-19)
www.biorxiv.orgPDF
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar and Yi Ouyang
arXiv e-prints
(2021-08-19)
ui.adsabs.harvard.eduPDF
Scalable regret for learning to control network-coupled subsystems with unknown dynamics.
Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar and Yi Ouyang
arXiv e-prints
(2021-08-18)
ui.adsabs.harvard.eduPDF
A Two-step Heuristic for the Periodic Demand Estimation Problem.
Greta Laage, Emma Frejinger and Gilles Savard
arXiv preprint arXiv:2108.08331
(2021-08-18)
ui.adsabs.harvard.eduPDF
Generic acquisition protocol for quantitative MRI of the spinal cord.
Julien Cohen-Adad, Eva Alonso-Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Büchel, Matthew Budde, Virginie Callot, Anna J.E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostál, Julien Doyon, Adam Dvorak, Falk Eippert... (71 more)
Nature Protocols
(2021-08-16)
europepmc.org
Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
Julien Cohen-Adad, Eva Alonso-Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Büchel, Matthew Budde, Virginie Callot, Anna J. E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostál, Julien Doyon, Adam Dvorak, Falk Eippert... (71 more)
Scientific Data
(2021-08-16)
europepmc.orgPDF
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error
Mohammad Afshari and Aditya Mahajan
IEEE Transactions on Signal Processing
(2021-08-16)
doi.orgPDF
RAPPPID: Towards Generalisable Protein Interaction Prediction with AWD-LSTM Twin Networks
Joseph Szymborski and Amin Emad
bioRxiv
(2021-08-15)
www.biorxiv.orgPDF
The 4th Artificial Intelligence of Things (AIoT) Workshop
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan and Victor Bahl
KDD 2021
(2021-08-14)
dl.acm.org
Artificial Intelligence for Drug Discovery
Jian Tang, Fei Wang and Feixiong Cheng
KDD 2021
(2021-08-14)
dl.acm.org
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection
Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang and Weihong Deng
KDD 2021
(2021-08-14)
dl.acm.org
Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang and Guoren Wang
KDD 2021
(2021-08-14)
dl.acm.org
Deep Learning on Graphs for Natural Language Processing
Lingfei Wu, Yu Chen, Heng Ji and Bang Liu
KDD 2021
(2021-08-14)
dl.acm.org
Patient-specific microdosimetry: a proof of concept.
Joseph M DeCunha, Fernanda Villegas, Martin Vallières, Jose Torres, Sophie Camilleri-Broët and Shirin A Enger
Physics in Medicine and Biology
(2021-08-12)
ui.adsabs.harvard.edu
Looking at the BiG picture: Incorporating bipartite graphs in drug response prediction
David Earl Hostallero, Yihui Li and Amin Emad
bioRxiv
(2021-08-12)
www.biorxiv.orgPDF
A functional mirror ascent view of policy gradient methods with function approximation.
Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro and Nicolas Le Roux
arXiv preprint arXiv:2108.05828
(2021-08-12)
ui.adsabs.harvard.eduPDF
Forgetting Enhances Episodic Control with Structured Memories
Annik Yalnizyan-Carson and Blake A. Richards
bioRxiv
(2021-08-12)
www.biorxiv.orgPDF
Overview of the TREC 2020 Fair Ranking Track.
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman and Sebastian Kohlmeier
arXiv preprint arXiv:2108.05135
(2021-08-11)
dblp.uni-trier.dePDF
Low-Complexity Construction of Polar Codes Based on Genetic Algorithm
Huayi Zhou, Warren J. Gross, Zaichen Zhang, Xiaohu You and Chuan Zhang
IEEE Communications Letters
(2021-08-11)
doi.org
Dynamic Diffuse Global Illumination Resampling
Zander Majercik, Thomas Müller, Alexander Keller, Derek Nowrouzezahrai and Morgan McGuire
arXiv preprint arXiv:2108.05263
(2021-08-11)
ui.adsabs.harvard.eduPDF
Issue Link Label Recovery and Prediction for Open Source Software
Alexander Nicholson and Jin L.C. Guo
arXiv preprint arXiv:2108.04415
(2021-08-10)
ui.adsabs.harvard.eduPDF
Post-hoc Interpretability for Neural NLP: A Survey.
Andreas Madsen, Siva Reddy and Sarath Chandar
arXiv preprint arXiv:2108.04840
(2021-08-10)
ui.adsabs.harvard.eduPDF
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang and Bin Yang
Toward Optimal Solution for the Context-Attentive Bandit Problem.
Djallel Bouneffouf, Raphael Feraud, Sohini Upadhyay, Irina Rish and Yasaman Khazaeni
IJCAI 2021
(2021-08-09)
www.ijcai.orgPDF
Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord.
Haykel Snoussi, Julien Cohen-Adad, Olivier Commowick, Benoit Combes, Elise Bannier, Slimane Tounekti, Anne Kerbrat, Christian Barillot and Emmanuel Caruyer
arXiv preprint arXiv:2108.03827
(2021-08-09)
ui.adsabs.harvard.eduPDF
Evaluation of distortion correction methods in diffusion MRI of the spinal cord
Haykel Snoussi, Julien Cohen-Adad, Olivier Commowick, Benoit Combes, Elise Bannier, Soizic Leguy, Anne Kerbrat, Christian Barillot and Emmanuel Caruyer
arXiv preprint arXiv:2108.03817
(2021-08-09)
arxiv.orgPDF
Combinatorial Optimization and Reasoning with Graph Neural Networks
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris and Petar Veličković
Reproducibility and Evolution of Diffusion MRI Measurements within the Cervical Spinal Cord in Multiple Sclerosis.
Haykel Snoussi, Emmanuel Caruyer, Benoit Combes, Olivier Commowick, Elise Bannier, Anne Kerbrat, Julien Cohen-Adad and Christian Barillot
arXiv preprint arXiv:2108.03575
(2021-08-08)
arxiv.orgPDF
Detection of oropharyngeal sensory function in normal population
X L Liu, X Y Li and W Xu
Chinese journal of otorhinolaryngology head and neck surgery
(2021-08-07)
www.ncbi.nlm.nih.gov
UItra-low friction and edge-pinning effect in large-lattice-mismatch van der Waals heterostructures.
Mengzhou Liao, Paolo Nicolini, Luojun Du, Jiahao Yuan, Shuopei Wang, Hua Yu, Jian Tang, Peng Cheng, Kenji Watanabe, Takashi Taniguchi, Lin Gu, Victor E. P. Claerbout, Andrea Silva, Denis Kramer, Tomas Polcar, Rong Yang, Dongxia Shi and Guangyu Zhang
Nature Materials
(2021-08-05)
www-nature-com-443.webvpn.bjmu.tsg211.com
Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information.
Luke Y Prince, Matthew M Tran, Dorian Grey, Lydia Saad, Helen Chasiotis, Jeehyun Kwag, Michael M Kohl and Blake A Richards
Communications Biology
(2021-08-05)
europepmc.org
Policy Gradients Incorporating the Future
David Venuto, Elaine Lau, Doina Precup and Ofir Nachum
arXiv preprint arXiv:2108.02096
(2021-08-04)
ui.adsabs.harvard.eduPDF
Toward Tweet-Mining Framework for Extracting Terrorist Attack-Related Information and Reporting
Farkhund Iqbal, Rabia Batool, Benjamin C. M. Fung, Saiqa Aleem, Ahmed Abbasi and Abdul Rehman Javed
IEEE Access
(2021-08-03)
ieeexplore.ieee.orgPDF
Memorize, Factorize, or be Na\"ive: Learning Optimal Feature Interaction Methods for CTR Prediction
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang and Xue Liu
arXiv preprint arXiv:2108.01265
(2021-08-03)
ui.adsabs.harvard.eduPDF
Parallel and Recurrent Cascade Models as a Unifying Force for Understanding Subcellular Computation.
Emerson F. Harkin, Peter R. Shen, Anish Goel, Blake A. Richards and Richard Naud
Neuroscience
(2021-08-03)
europepmc.org
Tracking White and Gray Matter Degeneration along the Spinal Cord Axis in Degenerative Cervical Myelopathy
Kevin Vallotton, Gergely David, Markus Hupp, Nikolai Pfender, Julien Cohen-Adad, Michael G Fehlings, Rebecca S Samson, Claudia A M Gandini Wheeler-Kingshott, Armin Curt, Patrick Freund and Maryam Seif
Journal of Neurotrauma
(2021-08-03)
europepmc.orgPDF
Barriers and facilitators to patient engagement in patient safety from patients and healthcare professionals' perspectives: A systematic review and meta-synthesis.
Zahra Chegini, Morteza Arab-Zozani, Sheikh Mohammed Shariful Islam, Georgia Tobiano and Samira Abbasgholizadeh Rahimi
Nursing Forum
(2021-08-02)
dro.deakin.edu.au
An Advanced Noise Reduction and Edge Enhancement Algorithm.
Shih Chia Huang, Quoc Viet Hoang, Trung Hieu Le, Yan Tsung Peng, Ching Chun Huang, Cheng Zhang, Benjamin C.M. Fung, Kai Han Cheng and Sha Wo Huang
Sensors
(2021-08-02)
europepmc.org
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold and Tal Arbel
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish and Massimo Caccia
arXiv preprint arXiv:2108.01005
(2021-08-02)
dblp.uni-trier.dePDF
Why do sleep disorders belong to mental disorder classifications? A network analysis of the "Sleep-Wake Disorders" section of the DSM-5.
Christophe Gauld, Régis Lopez, Charles M. Morin, Julien Maquet, Aileen Mcgonigal, Pierre-Alexis Geoffroy, Eric Fakra, Pierre Philip, Guillaume Dumas and Jean-Arthur Micoulaud-Franchi
Journal of Psychiatric Research
(2021-08-01)
www.sciencedirect.com
Investigating the impact of the CT Hounsfield unit range on radiomic feature stability using dual energy CT data.
Avishek Chatterjee, Martin Valliéres, Reza Forghani and Jan Seuntjens
Physica Medica
(2021-08-01)
www.sciencedirect.com
ADEPT: An Adjective-Dependent Plausibility Task
Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler and Jackie Chi Kit Cheung
ACL 2021
(2021-08-01)
2021.aclweb.org
On-the-Fly Attention Modulation for Neural Generation
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung and Yejin Choi
ACL 2021
(2021-08-01)
2021.aclweb.org
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi and Hai Jin
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy and Anders Sogaard
What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus
Alexandra Luccioni and Joseph Viviano
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen and Yefeng Zheng
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin and Yefeng Zheng
A Survey of Data Augmentation Approaches for NLP
Steven Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura and Eduard Hovy
Supervised multi-specialist topic model with applications on large-scale electronic health record data
Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David Buckeridge, Ariane Marelli and Yue Li
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer’s Disease
Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun and Sergey M. Plis
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton and Bryan Catanzaro
UnNatural Language Inference
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau and Adina Williams
Temporal Profiles of Social Attention Are Different Across Development in Autistic and Neurotypical People.
Teresa Del Bianco, Luke Mason, Tony Charman, Julian Tillman, Eva Loth, Hannah Hayward, Frederick Shic, Jan Buitelaar, Mark H. Johnson, Emily J.H. Jones, Jumana Ahmad, Sara Ambrosino, Tobias Banaschewski, Simon Baron-Cohen, Sarah Baumeister, Christian F. Beckmann, Sven Bölte, Thomas Bourgeron, Carsten Bours, Michael Brammer... (46 more)
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
(2021-08-01)
europepmc.orgPDF
Optimizing Deeper Transformers on Small Datasets
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J.D. Prince and Yanshuai Cao
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
Louis Clouatre, Philippe Trempe, Amal Zouaq and Sarath Chandar
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke and Siva Reddy
Improving reproducibility in machine learning research : a report from the NeurIPS 2019 reproducibility program
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox and Hugo Larochelle

2021-07

Smart About Meds (SAM): a pilot randomized controlled trial of a mobile application to improve medication adherence following hospital discharge.
Bettina Habib, David Buckeridge, Melissa Bustillo, Santiago Nicolas Marquez, Manish Thakur, Thai Tran, Daniala L Weir and Robyn Tamblyn
JAMIA open
(2021-07-31)
academic.oup.com
Dynamic Diffuse Global Illumination Resampling
Zander Majercik, Thomas Mueller, Alexander Keller, Derek Nowrouzezahrai and Morgan McGuire
SIGGRAPH 2021
(2021-07-31)
dl.acm.org
Pharmacists' perceptions of a machine learning model for the identification of atypical medication orders.
Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand and Maxime Thibault
Journal of the American Medical Informatics Association
(2021-07-30)
academic.oup.com
Atlas-Based Quantification of DTI Measures in a Typically Developing Pediatric Spinal Cord.
S. Shahrampour, B. De Leener, M. Alizadeh, D. Middleton, L. Krisa, A.E. Flanders, S.H. Faro, J. Cohen-Adad and F.B. Mohamed
American Journal of Neuroradiology
(2021-07-29)
www.ajnr.orgPDF
Educating the future generation of researchers: A cross-disciplinary survey of trends in analysis methods
Taylor Bolt, Jason S. Nomi, Danilo Bzdok and Lucina Q. Uddin
PLOS Biology
(2021-07-29)
www.ncbi.nlm.nih.gov
Human brain anatomy reflects separable genetic and environmental components of socioeconomic status
Hyeokmoon Kweon, Gökhan Aydogan, Alain Dagher, Danilo Bzdok, Christian C. Ruff, Gideon Nave, Martha J. Farah and Philipp D. Koellinger
bioRxiv
(2021-07-29)
www.biorxiv.orgPDF
Deep learning identifies and quantifies recombination hotspot determinants
Y. Li, S. Chen, T. Rapakoulia, H. Kuwahara, K. Yip and X. Gao
bioRxiv
(2021-07-29)
biorxiv.orgPDF
Demystifying Neural Language Models' Insensitivity to Word-Order
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq and Sarath Chandar
arXiv preprint arXiv:2107.13955
(2021-07-29)
ui.adsabs.harvard.eduPDF
A BRIEF STUDY ON THE EFFECTS OF TRAINING GENERATIVE DIALOGUE MODELS WITH A SEMANTIC LOSS
Prasanna Parthasarathi, Mohamed Abdelsalam, Sarath Chandar and Joelle Pineau
SIGDIAL 2021
(2021-07-29)
aclanthology.org
DO ENCODER REPRESENTATIONS OF GENERATIVE DIALOGUE MODELS HAVE SUFFICIENT SUMMARY OF THE INFORMATION ABOUT THE TASK
Prasanna Parthasarathi, Joelle Pineau and Sarath Chandar
SIGDIAL 2021
(2021-07-29)
aclanthology.org
Clones in Deep Learning Code: What, Where, and Why?
Hadhemi Jebnoun, Saidur Rahman, Foutse Khomh and Biruk Asmare Muse
arXiv preprint arXiv:2107.13614
(2021-07-28)
ui.adsabs.harvard.eduPDF
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek and Giuliano Antoniol
arXiv preprint arXiv:2107.13491
(2021-07-28)
ui.adsabs.harvard.eduPDF
Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban and Joelle Pineau
International Journal of Artificial Intelligence in Education
(2021-07-27)
link.springer.comPDF
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare
Arash Shaban-Nejad, Martin Michalowski, John Brownstein and David Buckeridge
IEEE Journal of Biomedical and Health Informatics
(2021-07-27)
experts.umn.edu
Sequential Core-Set Monte Carlo
Boyan Beronov, Christian Weilbach, Frank Wood and Trevor Campbell
UAI 2021
(2021-07-27)
www.auai.org
q-Paths: Generalizing the Geometric Annealing Path using Power Means
Vaden W Masrani, Rob Brekelmans, Thang D Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg and Frank Wood
Geographical concentration of COVID-19 cases by social determinants of health in 16 large metropolitan areas in Canada - a cross-sectional study
Yiqing Xia, Huiting Ma, Gary Moloney, Héctor A. Velásquez García, Monica Sirski, Naveed Z. Janjua, David Vickers, Tyler Williamson, Alan Katz, Kristy Yu, Rafal Kustra, David L. Buckeridge, Marc Brisson, Stefan D. Baral, Sharmistha Mishra and Mathieu Maheu-Giroux
medRxiv
(2021-07-26)
pesquisa.bvsalud.orgPDF
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo and François Laviolette
arXiv preprint arXiv:2107.12045
(2021-07-26)
dblp.uni-trier.dePDF
ETS1, ELK1, and ETV4 Transcription Factors Regulate Angiopoietin-1 Signaling and the Angiogenic Response in Endothelial Cells.
Sharon Harel, Veronica Sanchez, Alaa Moamer, Javier E Sanchez-Galan, Mohammad N Abid Hussein, Dominique Mayaki, Mathieu Blanchette and Sabah N A Hussain
Frontiers in Physiology
(2021-07-26)
www.frontiersin.org
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.
Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf and Smita Krishnaswamy
arXiv preprint arXiv:2107.12334
(2021-07-26)
ui.adsabs.harvard.eduPDF
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.
German Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi and Irina Rish
Neural Computation
(2021-07-26)
direct.mit.edu
A Replication Package For The Paper "Improved Retrieval of Programming Solutions with Code Examples Using a Multi-featured Score"
Rodrigo F. Silva, Mohammad Masudur Rahman, Carlos Eduardo De Carvalho Dantas, Chanchal Roy, Foutse Khomh and Marcelo A. Maia
(venue unknown)
(2021-07-24)
zenodo.org
Human Pose Transfer with Disentangled Feature Consistency.
Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan and Gangyi Ding
arXiv: Computer Vision and Pattern Recognition
(2021-07-23)
ui.adsabs.harvard.eduPDF
Modelling Latent Translations for Cross-Lingual Transfer
Edoardo Maria Ponti, Julia Kreutzer, Ivan Vulic and Siva Reddy
arXiv preprint arXiv:2107.11353
(2021-07-23)
ui.adsabs.harvard.eduPDF
Image-to-Image Translation with Low Resolution Conditioning.
Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde and Christian Gagné
arXiv preprint arXiv:2107.11262
(2021-07-23)
ui.adsabs.harvard.eduPDF
Automatic Multiclass Intramedullary Spinal Cord Tumor Segmentation on MRI with Deep Learning
Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad and Yaou Liu
NeuroImage: Clinical
(2021-07-22)
www.sciencedirect.com
Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA
Sébastien Lachapelle, Pau Rodríguez López, Rémi Le Priol, Alexandre Lacoste and Simon Lacoste-Julien
arXiv preprint arXiv:2107.10098
(2021-07-21)
ui.adsabs.harvard.eduPDF
Dynamic Realtime z-Shimming: A Feasibility Study
E. Alonso-Ortiz, A. D'Astous, D. Papp and J. Cohen-Adad
arXiv preprint arXiv:2107.10331
(2021-07-21)
ui.adsabs.harvard.eduPDF
Diffusion magnetic resonance imaging reveals tract-specific microstructural correlates of electrophysiological impairments in non-myelopathic and myelopathic spinal cord compression.
Jan Valošek, René Labounek, Tomáš Horák, Magda Horáková, Petr Bednařík, Miloš Keřkovský, Jan Kočica, Tomáš Rohan, Christophe Lenglet, Julien Cohen-Adad, Petr Hluštík, Eva Vlčková, Zdeněk Kadaňka, Josef Bednařík and Alena Svatkova
European Journal of Neurology
(2021-07-21)
experts.umn.eduPDF
Task-Assisted GAN for Resolution Enhancement and Modality Translation in Fluorescence Microscopy
Catherine Bouchard, Theresa Wiesner, Andréanne Deschênes, Flavie Lavoie-Cardinal and Christian Gagné
bioRxiv
(2021-07-20)
www.biorxiv.orgPDF
Exploring polypharmacy with artificial intelligence: data analysis protocol.
Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean and Marc Simard
BMC Medical Informatics and Decision Making
(2021-07-20)
bmcmedinformdecismak.biomedcentral.comPDF
Effects of eight neuropsychiatric copy number variants on human brain structure.
Claudia Modenato, Kuldeep Kumar, Clara Moreau, Sandra Martin-Brevet, Guillaume Huguet, Catherine Schramm, Martineau Jean-Louis, Charles-Olivier Martin, Nadine Younis, Petra Tamer, Elise Douard, Fanny Thébault-Dagher, Valérie Côté, Audrey-Rose Charlebois, Florence Deguire, Anne M Maillard, Borja Rodriguez-Herreros, Aurèlie Pain, Sonia Richetin, Lester Melie-Garcia... (12 more)
Translational Psychiatry
(2021-07-20)
www.nature.comPDF
Parametric Scattering Networks.
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg and Guy Wolf
arXiv preprint arXiv:2107.09539
(2021-07-20)
ui.adsabs.harvard.eduPDF
Comorbidities and Medical Complications in Hospitalized Subarachnoid Hemorrhage Patients.
Solon Schur, Dimitra Panagiotoglou, Salvatore Di Maio and David Buckeridge
Canadian Journal of Neurological Sciences
(2021-07-19)
www.cambridge.org
A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes.
Seyyed Ali Hashemi, Nghia Doan, Warren J. Gross, John M. Cioffi and Andrea Goldsmith
arXiv preprint arXiv:2107.08991
(2021-07-19)
ui.adsabs.harvard.eduPDF
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Hangrui Bi, Hengyi Wang, Chence Shi, Connor Coley, Jian Tang and Hongyu Guo
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi, Shitong Luo, Minkai Xu and Jian Tang
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu and Yanzhi Wang
Deep Successive Subspace Learning for Data Clustering
Mohammadreza Sadeghi and Narges Armanfard
IJCNN 2021
(2021-07-18)
ieeexplore.ieee.org
VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping
Adel Abusitta, Omar Abdel Wahab and Benjamin C. M. Fung
IJCNN 2021
(2021-07-18)
dblp.uni-trier.de
Equivariant Networks for Pixelized Spheres
Mehran Shakerinava and Siamak Ravanbakhsh
Preferential Temporal Difference Learning
Nishanth Anand and Doina Precup
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau and Kee-Eung Kim
Robust Asymmetric Learning in POMDPs
Andrew Warrington, Jonathan Lavington, Adam Scibior, Mark Schmidt and Frank Wood
ICML 2021
(2021-07-18)
proceedings.mlr.pressPDF
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto, David Meger and Doina Precup
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoff Gordon, Philip Bachman and Remi Tachet des Combes
ICML 2021
(2021-07-18)
proceedings.mlr.pressPDF
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup and Lin Yang
ICML 2021
(2021-07-18)
proceedings.mlr.pressPDF
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani, Amy Zhang and Joelle Pineau
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi, Francois Soumis and Simon Lacoste-Julien
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang and Aaron Courville
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli and Jian Tang
Aggregating From Multiple Target-Shifted Sources
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagne, Charles X. Ling and Boyu Wang
Diffusion Earth Mover's Distance and Distribution Embeddings
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid Macdonald, Manik Kuchroo, Ronald Coifman, Guy Wolf and Smita Krishnaswamy
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou, Hugo Larochelle, Richard Zemel and Vincent Dumoulin
Information Obfuscation of Graph Neural Networks
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoff Gordon, Stefanie Jegelka and Ruslan Salakhutdinov
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville and Sarath Chandar
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija and Doina Precup
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
Thomas Kerdreux, Lewis Liu, Simon Lacoste-Julien and Damien Scieur
Assisting the Adversary to Improve GAN Training
Andreas Munk, William Harvey and Frank Wood
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Wesley Chung, Valentin Thomas, Marlos C. Machado and Nicolas Le Roux
Combating False Negatives in Adversarial Imitation Learning
Konrad Zolna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
On generalized surrogate duality in mixed-integer nonlinear programming
Benjamin Müller, Gonzalo Muñoz, Maxime Gasse, Ambros Gleixner, Andrea Lodi and Felipe Serrano
Mathematical Programming
(2021-07-17)
PDF
On generalized surrogate duality in mixed-integer nonlinear programming
Benjamin Müller, Gonzalo Muñoz, Maxime Gasse, Ambros M. Gleixner, Andrea Lodi and Felipe Serrano
Spine and Individual Vertebrae Segmentation in Computed Tomography Images Using Geometric Flows and Shape Priors
Pulkit Khandelwal, D. Louis Collins and Kaleem Siddiqi
Frontiers of Computer Science
(2021-07-16)
www.frontiersin.org
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice.
Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck and Asia Biega
arXiv preprint arXiv:2107.08096
(2021-07-16)
ui.adsabs.harvard.eduPDF
Time cell encoding in deep reinforcement learning agents depends on mnemonic demands
Dongyan Lin and Blake A. Richards
bioRxiv
(2021-07-16)
www.biorxiv.orgPDF
Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD-3.
Christophe Gauld, Régis Lopez, Charles Morin, Pierre A Geoffroy, Julien Maquet, Pierre Desvergnes, Aileen McGonigal, Yves Dauvilliers, Pierre Philip, Guillaume Dumas and Jean-Arthur Micoulaud-Franchi
Journal of Sleep Research
(2021-07-16)
europepmc.org
Trips and Neurotransmitters: Discovering Principled Patterns across 6,850 Hallucinogenic Experiences
Ballentine G, Friedman Sf and Bzdok D
bioRxiv
(2021-07-14)
europepmc.orgPDF
Making Sense of Metrics in the Music Industries
Nancy Baym, Rachel Bergmann, Raj Bhargava, Fernando Diaz, Tarleton Gillespie, David Hesmondhalgh, Elena Maris and Christopher J. Persaud
International Journal of Communication
(2021-07-14)
ijoc.org
Large-Scale Intrinsic Functional Brain Organization Emerges from Three Canonical Spatiotemporal Patterns
Taylor Bolt, Jason Nomi, Danilo Bzdok, Catie Chang, B.T. Yeo, Lucina Uddin and Shella Keilholz
bioRxiv
(2021-07-13)
europepmc.orgPDF
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration
Jake S. Rhodes, Adele Cutler, Guy Wolf and Kevin R. Moon
SSP 2021
(2021-07-11)
doi.org
ACM SIGIR 2021 Chairs' Welcome
Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones and Tetsuya Sakai
SIGIR 2021
(2021-07-11)
nyuscholars.nyu.edu
Deep Learning on Graphs for Natural Language Processing
Lingfei Wu, Yu Chen, Heng Ji and Bang Liu
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates and Jackie Chi Kit Cheung
Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts
Ajung Moon, Maneezhay Hashmi, H. F. Machiel Van Der Loos, Elizabeth A. Croft and Aude Billard
HRI 2021
(2021-07-10)
dl.acm.orgPDF
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks.
Florian Tambon, Giulio Antoniol and Foutse Khomh
arXiv preprint arXiv:2107.04863
(2021-07-10)
dblp.uni-trier.dePDF
Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition
Bahareh Nikpour and Narges Armanfard
(venue unknown)
(2021-07-07)
www.scilit.net
A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical Samples
Hostallero De, Wei L, Wang L, Cairns J and Emad A
bioRxiv
(2021-07-07)
europepmc.orgPDF
How does hemispheric specialization contribute to human-defining cognition?
Gesa Hartwigsen, Yoshua Bengio and Danilo Bzdok
Neuron
(2021-07-07)
europepmc.org
A simple and robust method for automating analysis of naïve and regenerating peripheral nerves.
Alison L. Wong, Nicholas Hricz, Harsha Malapati, Nicholas von Guionneau, Michael Wong, Thomas Harris, Mathieu Boudreau, Julien Cohen-Adad and Sami Tuffaha
SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality
Courtney Paquette, Kiwon Lee, Fabian Pedregosa and Elliot Paquette
The default mode network in cognition: a topographical perspective.
Jonathan Smallwood, Boris C Bernhardt, Robert Leech, Danilo Bzdok, Elizabeth Jefferies and Daniel S Margulies
Nature Reviews Neuroscience
(2021-07-05)
www-nature-com-443.webvpn.bjmu.tsg211.com
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Rezende, Yoshua Bengio, Michael Mozer and Christopher Pal
arXiv preprint arXiv:2107.00848
(2021-07-02)
arxiv.orgPDF
A Reliable All-2D Materials Artificial Synapse for High Energy-Efficient Neuromorphic Computing
Jian Tang, Congli He, Jianshi Tang, Kun Yue, Qingtian Zhang, Yizhou Liu, Qinqin Wang, Shuopei Wang, Na Li, Cheng Shen, Yanchong Zhao, Jieying Liu, Jiahao Yuan, Zheng Wei, Jiawei Li, Kenji Watanabe, Takashi Taniguchi, Dashan Shang, Shouguo Wang, Wei Yang... (3 more)
Advanced Functional Materials
(2021-07-01)
samurai.nims.go.jpPDF
Artificial Synapses: A Reliable All-2D Materials Artificial Synapse for High Energy-Efficient Neuromorphic Computing (Adv. Funct. Mater. 27/2021)
Jian Tang, Congli He, Jianshi Tang, Kun Yue, Qingtian Zhang, Yizhou Liu, Qinqin Wang, Shuopei Wang, Na Li, Cheng Shen, Yanchong Zhao, Jieying Liu, Jiahao Yuan, Zheng Wei, Jiawei Li, Kenji Watanabe, Takashi Taniguchi, Dashan Shang, Shouguo Wang, Wei Yang... (3 more)
Advanced Functional Materials
(2021-07-01)
onlinelibrary.wiley.comPDF
Enjeux juridiques propres au modèle émergent des patients accompagnateurs dans les milieux de soins au Québec (Legal Issues Arising from the Emerging Model of Accompanying Patients in the Quebec Healthcare System)
Léa Boutrouille, Catherine Régis and Marie-Pascale Pomey
Social Science Research Network
(2021-07-01)
papers.ssrn.com
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication
Olivier Morin, Martin Vallières, Steve Braunstein, Jorge Barrios Ginart, Taman Upadhaya, Henry C. Woodruff, Alex Zwanenburg, Avishek Chatterjee, Javier E. Villanueva-Meyer, Gilmer Valdes, William Chen, Julian C. Hong, Sue S. Yom, Timothy D. Solberg, Steffen Löck, Jan Seuntjens, Catherine Park and Philippe Lambin
Why do builds fail?—A conceptual replication study
Amine Barrak, Ellis E. Eghan, Bram Adams and Foutse Khomh
Journal of Systems and Software
(2021-07-01)
www.sciencedirect.com
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints
Philippe Olivier, Andrea Lodi and Gilles Pesant
Informs Journal on Computing
(2021-07-01)
pubsonline.informs.org
HInet: Generating Neutral Hydrogen from Dark Matter with Neural Networks
Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho and Laurence Perreault-Levasseur

2021-06

On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging.
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux and Michael I. Jordan
arXiv preprint arXiv:2107.00464
(2021-06-30)
ui.adsabs.harvard.eduPDF
Machine-Learning–Based Column Selection for Column Generation
Mouad Morabit, Guy Desaulniers and Andrea Lodi
Transportation Science
(2021-06-30)
doi.org[Also on Les Cahiers du GERAD (2020-05-01)]
Exchange bias and spin–orbit torque in the Fe3GeTe2-based heterostructures prepared by vacuum exfoliation approach
Yu Zhang, Hongjun Xu, Changjiang Yi, Xiao Wang, Yuan Huang, Jian Tang, Jialiang Jiang, Congli He, Mingkun Zhao, Tianyi Ma, Jing Dong, Chenyang Guo, Jiafeng Feng, Caihua Wan, Hongxiang Wei, Haifeng Du, Youguo Shi, Guoqiang Yu, Guangyu Zhang and Xiufeng Han
Applied Physics Letters
(2021-06-29)
aip.scitation.org
Deep Clustering with Self-supervision using Pairwise Data Similarities
Mohammadreza Sadeghi and Narges Armanfard
(venue unknown)
(2021-06-29)
www.techrxiv.org
Universal semantics for the stochastic λ-calculus
Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden and Michael Roberts
LICS 2021
(2021-06-29)
pureportal.strath.ac.uk
Fixed-points for quantitative equational logics
Radu Mardare, Prakash Panangaden and Gordon Plotkin
Universal Semantics for the Stochastic Lambda-Calculus
Pedro H Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden and Michael Roberts
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads
Teng Li, Zhiyuan Xu, Jian Tang, Kun Wu and Yanzhi Wang
IWQOS 2021
(2021-06-25)
experts.syr.edu
Measures of balance in combinatorial optimization
Philippe Olivier, Andrea Lodi and Gilles Pesant
A Quarterly Journal of Operations Research
(2021-06-25)
link.springer.com
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoff Gordon, Phil Bachman and Remi Tachet
arXiv preprint arXiv:2106.13401
(2021-06-25)
arxiv.orgPDF
Physicochemical properties and heavy metal pollution characteristics and correlation analysis of sludge landfill
Jian Tang, Hengjun Tang, Weiping Sima, Biao Qiu, Dongbing Zou, Rui Liang, Jianwei Dong, Chao Liang, Shan Wan, Zhihua Li, Haiyue Wang, Li Yan and Shaolan Du
International Journal of Environmental Analytical Chemistry
(2021-06-23)
www.tandfonline.com
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
Mikhail Galkin, Jiapeng Wu, Etienne Denis and William L. Hamilton
arXiv: Computation and Language
(2021-06-23)
dblp.uni-trier.dePDF
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
Meiqi Guo, Mingda Zhang, Siva Reddy and Malihe Alikhani
AKBC 2021
(2021-06-22)
openreview.netPDF
Stochastic Polyak Stepsize with a Moving Target
Robert M. Gower, Aaron Defazio and Michael G. Rabbat
arXiv preprint arXiv:2106.11851
(2021-06-22)
128.84.4.27PDF
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models.
Behnoush Khavari and Guillaume Rabusseau
arXiv preprint arXiv:2106.11827
(2021-06-22)
arxiv.orgPDF
Assumptions about frequency-dependent architectures of complex traits bias measures of functional enrichment
Shadi Zabad, Aaron P. Ragsdale, Rosie Sun, Yue Li and Simon Gravel
Genetic Epidemiology
(2021-06-22)
europepmc.org[Also on bioRxiv (2020-10-25)]
Deep learning for AI
Yoshua Bengio, Yann Lecun and Geoffrey Hinton
Communications of The ACM
(2021-06-21)
dl.acm.orgPDF
Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns
Arghavan Moradi Dakhel, Michel C. Desmarais and Foutse Khomh
EASE 2021
(2021-06-21)
dl.acm.org
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design
Ethan Tseng, Ali Mosleh, Fahim Mannan, Karl St-Arnaud, Avinash Sharma, Yifan Peng, Alexander Braun, Derek Nowrouzezahrai, Jean-François Lalonde and Felix Heide
ACM Transactions on Graphics
(2021-06-21)
collaborate.princeton.edu
Memory Augmented Optimizers for Deep Learning.
Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran and Sarath Chandar
arXiv preprint arXiv:2106.10708
(2021-06-20)
ui.adsabs.harvard.eduPDF
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task
Prasanna Parthasarathi, Joelle Pineau and Sarath Chandar
arXiv preprint arXiv:2106.10622
(2021-06-20)
dblp.uni-trier.dePDF
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau and Sarath Chandar
arXiv preprint arXiv:2106.10619
(2021-06-20)
arxiv.orgPDF
Taskography: Evaluating robot task planning over large 3D scene graphs
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull and Florian Shkurti
5th Annual Conference on Robot Learning
(2021-06-19)
openreview.netPDF
A Data Mining Analysis of Cross-Regional Study of Apparel Consumption
Osmud Rahman and Benjamin C. M. Fung
International Conference on Comprehensible Science
(2021-06-19)
link.springer.com
Haptics-based Curiosity for Sparse-reward Tasks
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vazquez, Aaron Courville and Pedro O. Pinheiro
5th Annual Conference on Robot Learning
(2021-06-19)
openreview.netPDF
Digitizing a sustainable future
Lucia A. Reisch, Lucas Joppa, Peter Howson, Artur Gil, Panayiota Alevizou, Nina Michaelidou, Ruby Appiah-Campbell, Tilman Santarius, Susanne Köhler, Massimo Pizzol, Pia Johanna Schweizer, Dipti Srinivasan, Lynn H. Kaack, Priya L. Donti and David Rolnick
One Earth
(2021-06-18)
repository.lboro.ac.uk
Differentiable Particle Filtering without Modifying the Forward Pass.
Adam Scibior, Vaden Masrani and Frank Wood
arXiv preprint arXiv:2106.10314
(2021-06-18)
dblp.uni-trier.dePDF
Sample Efficient Social Navigation Using Inverse Reinforcement Learning.
Bobak H. Baghi and Gregory Dudek
arXiv preprint arXiv:2106.10318
(2021-06-18)
ui.adsabs.harvard.eduPDF
Ice Core Science Meets Computer Vision: Challenges and Perspectives
Pascal Bohleber, Marco Roman, Carlo Barbante, Sebastiano Vascon, Kaleem Siddiqi and Marcello Pelillo
The Cost of Untracked Diversity in Brain-Imaging Prediction
Benkarim O, Paquola C, Park B, Kebets, Hong S, Vos de Wael R, Zhang S, Yeo Bt, Eickenberg M, Ge T, Poline J, Bernhardt B and Bzdok D
bioRxiv
(2021-06-17)
www.biorxiv.orgPDF
Cardinality Minimization, Constraints, and Regularization: A Survey.
Andreas M. Tillmann, Daniel Bienstock, Andrea Lodi and Alexandra Schwartz
arXiv preprint arXiv:2106.09606
(2021-06-17)
dblp.uni-trier.dePDF
Dissecting the midlife crisis: disentangling social, personality and demographic determinants in social brain anatomy.
Hannah Kiesow, Lucina Q Uddin, Boris C Bernhardt, Joseph Kable and Danilo Bzdok
Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection.
Seyed Hamid Safiabadi Tali, Jason J. LeBlanc, Zubi Sadiq, Oyejide Damilola Oyewunmi, Carolina Camargo, Bahareh Nikpour, Narges Armanfard, Selena M. Sagan and Sana Jahanshahi-Anbuhi
Clinical Microbiology Reviews
(2021-06-16)
europepmc.orgPDF
SPeCiaL: Self-Supervised Pretraining for Continual Learning.
Lucas Caccia and Joelle Pineau
arXiv preprint arXiv:2106.09065
(2021-06-16)
ui.adsabs.harvard.eduPDF
Deep feature extraction of single-cell transcriptomes by generative adversarial network.
Mojtaba Bahrami, Malosree Maitra, Corina Nagy, Gustavo Turecki, Hamid R Rabiee and Yue Li
In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
Taylor H. Newton, Michael W. Reimann, Marwan Abdellah, Grigori Chevtchenko, Eilif B. Muller and Henry Markram
Nature Communications
(2021-06-15)
europepmc.org
Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, R. Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan and Yoshua Bengio
arXiv preprint arXiv:2106.08365
(2021-06-15)
ui.adsabs.harvard.edu
Randomized Exploration for Reinforcement Learning with General Value Function Approximation
Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup and Lin F. Yang
arXiv preprint arXiv:2106.07841
(2021-06-15)
export.arxiv.orgPDF
Multi-Resolution Continuous Normalizing Flows.
Vikram Voleti, Chris Finlay, Adam M. Oberman and Christopher J. Pal
arXiv: Computer Vision and Pattern Recognition
(2021-06-15)
dblp.uni-trier.dePDF
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking
Zhiyuan Xu, Kun Wu, Weiyi Zhang, Jian Tang, Yanzhi Wang and Guoliang Xue
IEEE Journal on Selected Areas in Communications
(2021-06-14)
asu.pure.elsevier.com
UWB-Assisted Fast mmWave Beam Alignment
Ju Wang, Xi Chen, Xue Liu and Gregory Dudek
ICC 2021
(2021-06-14)
ieeexplore.ieee.org
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures.
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio and Stefan Bauer
arXiv: Learning
(2021-06-14)
dblp.uni-trier.dePDF
Apprentissage de Vote de Majorité par Minimisation d'une C-Borne PAC-Bayésienne
Paul Viallard, Pascal Germain and Emilie Morvant
CAp 2021
(2021-06-14)
hal.archives-ouvertes.fr
Dérandomisation des Bornes PAC-Bayésiennes
Paul Viallard, Pascal Germain and Emilie Morvant
CAp 2021
(2021-06-14)
hal.archives-ouvertes.fr
Structure-aware reinforcement learning for node-overload protection in mobile edge computing
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi and Hakimeh Purmehdi
A Comparative Study of Learning Outcomes for Online Learning Platforms
François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban and Ekaterina Kochmar
AIED 2021
(2021-06-14)
link.springer.com
Exploration-Driven Representation Learning in Reinforcement Learning
Akram Erraqabi, Mingde Zhao, Marlos C. Machado, Yoshua Bengio, Sainbayar Sukhbaatar, Ludovic Denoyer and Alessandro Lazaric
ICML 2021
(2021-06-13)
openreview.netPDF
Federated Learning with Buffered Asynchronous Aggregation.
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek Esmaeili and Dzmitry Huba
arXiv preprint arXiv:2106.06639
(2021-06-11)
ui.adsabs.harvard.eduPDF
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas and Irina Rish
arXiv: Learning
(2021-06-11)
ui.adsabs.harvard.eduPDF
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection.
Hadi Hojjati and Narges Armanfard
arXiv preprint arXiv:2106.05410
(2021-06-09)
ui.adsabs.harvard.eduPDF
Rapid simultaneous acquisition of macromolecular tissue volume, susceptibility, and relaxometry maps
Fang F Yu, Susie Yi Huang, Ashwin Kumar, Thomas Witzel, Congyu Liao, Tanguy Duval, Julien Cohen-Adad and Berkin Bilgic
bioRxiv
(2021-06-09)
www.biorxiv.orgPDF
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh Sachan, Siva Reddy, William Hamilton, Chris Dyer and Dani Yogatama
arXiv preprint arXiv:2106.05346
(2021-06-09)
ui.adsabs.harvard.eduPDF
GrowSpace: Learning How to Shape Plants
Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo and Audrey Durand
arXiv preprint arXiv:2110.08307
(2021-06-08)
dblp.uni-trier.dePDF
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori... (1 more)
arXiv preprint arXiv:2106.04624
(2021-06-08)
ui.adsabs.harvard.eduPDF
Understanding Capacity Saturation in Incremental Learning
Shenyang Huang, Vincent Francois-Lavet and Guillaume Rabusseau
AI 2021
(2021-06-08)
caiac.pubpub.org
FairCal: Fairness Calibration for Face Verification.
Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall and Adam Oberman
arXiv preprint arXiv:2106.03761
(2021-06-07)
arxiv.orgPDF
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly and Hugo Larochelle
NEURIPS 2021
(2021-06-07)
openreview.netPDF
Improved Predictive Uncertainty using Corruption-based Calibration.
Tiago Salvador, Vikram Voleti, Alexander Iannantuono and Adam M. Oberman
arXiv: Machine Learning
(2021-06-07)
ui.adsabs.harvard.eduPDF
Bias Mitigation of Face Recognition Models Through Calibration.
Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall and Adam M. Oberman
arXiv: Computer Vision and Pattern Recognition
(2021-06-07)
ui.adsabs.harvard.eduPDF
The Benchmark Lottery
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler and Oriol Vinyals
(venue unknown)
(2021-06-07)
openreview.netPDF
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation.
Evgenii Nikishin, Romina Abachi, Rishabh Agarwal and Pierre-Luc Bacon
arXiv preprint arXiv:2106.03273
(2021-06-06)
ui.adsabs.harvard.eduPDF
Towards Practical Near-Maximum-Likelihood Decoding of Error-Correcting Codes: An Overview
Thibaud Tonnellier, Marzieh Hashemipour, Nghia Doan, Warren J. Gross and Alexios Balatsoukas-Stimming
ICASSP 2021
(2021-06-06)
ieeexplore.ieee.org
High-Throughput VLSI Architecture for Soft-Decision Decoding with ORBGRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan, Marwan Jalaleddine and Warren J. Gross
CMIM: Cross-Modal Information Maximization For Medical Imaging
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm and Yoshua Bengio
ICASSP 2021
(2021-06-06)
ieeexplore.ieee.org
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Dylan Sandfelder, Priyesh Vijayan and William L. Hamilton
ICASSP 2021
(2021-06-06)
ieeexplore.ieee.orgPDF
Toward Skills Dialog Orchestration with Online Learning
Djallel Bouneffouf, Raphael Feraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni and Irina Rish
ICASSP 2021
(2021-06-06)
ieeexplore.ieee.org
Attention Is All You Need In Speech Separation
Cem Subakan, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi and Jianyuan Zhong
Geometric Scattering Attention Networks
Yimeng Min, Frederik Wenkel and Guy Wolf
Double-Linear Thompson Sampling for Context-Attentive Bandits
Djallel Bouneffouf, Raphael Feraud, Sohini Upadhyay, Yasaman Khazaeni and Irina Rish
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang, Jae Hyun Lim and Aaron C. Courville
Extracting Weighted Automata for Approximate Minimization in Language Modelling.
arXiv preprint arXiv:2106.02965
(2021-06-05)
ui.adsabs.harvard.eduPDF
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction.
Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang and Qi Qi
IEEE Transactions on Neural Networks
(2021-06-04)
europepmc.org
Hierarchical Video Generation for Complex Data.
Lluís Castrejón, Nicolas Ballas and Aaron C. Courville
arXiv preprint arXiv:2106.02719
(2021-06-04)
ui.adsabs.harvard.eduPDF
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting.
Tong Mo and Bang Liu
arXiv preprint arXiv:2106.02738
(2021-06-04)
ui.adsabs.harvard.eduPDF
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL.
Bogdan Mazoure, Ahmed M. Ahmed, Patrick MacAlpine, R. Devon Hjelm and Andrey Kolobov
arXiv preprint arXiv:2106.02193
(2021-06-04)
ui.adsabs.harvard.eduPDF
Beyond Target Networks: Improving Deep Q-learning with Functional Regularization.
Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal and Mohammad Emtiyaz Khan
arXiv preprint arXiv:2106.02613
(2021-06-04)
ui.adsabs.harvard.eduPDF
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
Soroosh Shahtalebi, Jean-Christophe Gagnon-Audet, Touraj Laleh, Mojtaba Faramarzi, Kartik Ahuja and Irina Rish
arXiv: Learning
(2021-06-04)
ui.adsabs.harvard.eduPDF
MICo: Learning improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden and Mark Rowland
arXiv preprint arXiv:2106.08229
(2021-06-03)
ui.adsabs.harvard.eduPDF
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothée Lesort, Thomas George and Irina Rish
arXiv preprint arXiv:2106.01834
(2021-06-03)
ui.adsabs.harvard.eduPDF
Improving Continuous Normalizing Flows using a Multi-Resolution Framework
Vikram Voleti, Chris Finlay, Adam M Oberman and Christopher Pal
ICML 2021
(2021-06-02)
openreview.netPDF
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models
Daniel D. Johnson, Jacob Austin, Rianne van den Berg and Daniel Tarlow
Outcome after acute ischemic stroke is linked to sex-specific lesion patterns.
Anna K. Bonkhoff, Markus D. Schirmer, Martin Bretzner, Sungmin Hong, Robert W. Regenhardt, Mikael Brudfors, Kathleen L. Donahue, Marco J. Nardin, Adrian V. Dalca, Anne-Katrin Giese, Mark R. Etherton, Brandon L. Hancock, Steven J. T. Mocking, Elissa C. McIntosh, John Attia, Oscar R. Benavente, Stephen Bevan, John W. Cole, Amanda Donatti, Christoph J. Griessenauer... (37 more)
Nature Communications
(2021-06-02)
europepmc.orgPDF
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
Rémi Gau, Stephanie Noble, Katja Heuer, Katherine L. Bottenhorn, Isil P. Bilgin, Yu-Fang Yang, Julia M. Huntenburg, Johanna M.M. Bayer, Richard A.I. Bethlehem, Shawn A. Rhoads, Christoph Vogelbacher, Valentina Borghesani, Elizabeth Levitis, Hao-Ting Wang, Sofie Van Den Bossche, Xenia Kobeleva, Jon Haitz Legarreta, Samuel Guay, Selim Melvin Atay, Gael P. Varoquaux... (199 more)
Neuron
(2021-06-02)
europepmc.orgPDF
Inside Back Cover: Wafer-Scale Oxygen-Doped MoS2 Monolayer (Small Methods 6/2021)
Zheng Wei, Jian Tang, Xuanyi Li, Zhen Chi, Yu Wang, Qinqin Wang, Bo Han, Na Li, Biying Huang, Jiawei Li, Hua Yu, Jiahao Yuan, Hailong Chen, Jiatao Sun, Lan Chen, Kehui Wu, Peng Gao, Congli He, Wei Yang, Dongxia Shi... (2 more)
Small Methods
(2021-06-01)
onlinelibrary.wiley.com
Wafer-Scale Oxygen-Doped MoS2 Monolayer
Zheng Wei, Jian Tang, Xuanyi Li, Zhen Chi, Yu Wang, Qinqin Wang, Bo Han, Na Li, Biying Huang, Jiawei Li, Hua Yu, Jiahao Yuan, Hailong Chen, Jiatao Sun, Lan Chen, Kehui Wu, Peng Gao, Congli He, Wei Yang, Dongxia Shi... (2 more)
Small Methods
(2021-06-01)
onlinelibrary.wiley.comPDF
Optically and magnetically addressable valley pseudospin of interlayer excitons in bilayer MoS2
Yanchong Zhao, Luojun Du, Shiqi Yang, Jinpeng Tian, Xiaomei Li, Cheng Shen, Jian Tang, Yanbang Chu, Kenji Watanabe, Takashi Taniguchi, Rong Yang, Dongxia Shi, Zhipei Sun, Yu Ye, Wei Yang and Guangyu Zhang
arXiv preprint arXiv:2106.00351
(2021-06-01)
ui.adsabs.harvard.eduPDF
Preparation and characterization of NiO/HY catalyst
Yingnan Dong, Hanyue Bai, Shanshan Li, Jian Tang and Wei Niu
Materials Express
(2021-06-01)
www.ingentaconnect.com
Hierarchical Policy Learning for Hybrid Communication Load Balancing
Jikun Kang, Xi Chen, Di Wu, Yi Tian Xu, Xue Liu, Gregory Dudek, Taeseop Lee and Intaik Park
ICC 2021
(2021-06-01)
doi.org
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning.
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup and Adith Swaminathan
arXiv: Learning
(2021-06-01)
arxiv.orgPDF
Fast SC-Flip Decoding of Polar Codes with Reinforcement Learning
Nghia Doan, Seyyed Ali Hashemi, Furkan Ercan and Warren J. Gross
ICC 2021
(2021-06-01)
dblp.uni-trier.de
Artificial Intelligence and Ethics in Dentistry: A Scoping Review.
C M Mörch, S Atsu, W Cai, X Li, S A Madathil, X Liu, V Mai, F Tamimi, M A Dilhac and M Ducret
Journal of Dental Research
(2021-06-01)
europepmc.org
Genomic epidemiology and associated clinical outcomes of a SARS-CoV-2 outbreak in a general adult hospital in Quebec
Bastien Pare, Marieke Rozendaal, Sacha Morin, Raphael Poujol, Fatima Mostefai, Jean-Christophe Grenier, Lea Kaufmann, Henry Xing, Miguelle Sanchez, Ariane Yechouron, Ronald Racette, Julie Hussin, Guy Wolf, Ivan Pavlov and Martin A Smith
medRxiv
(2021-06-01)
europepmc.orgPDF
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL.
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup and Adith Swaminathan
arXiv preprint arXiv:2106.00589
(2021-06-01)
ui.adsabs.harvard.eduPDF
Malware classification and composition analysis: A survey of recent developments
Adel Abusitta, Miles Q. Li and Benjamin C.M. Fung
WISA 2021
(2021-06-01)
www.sciencedirect.com
Ethics of Corporeal, Co-present Robots as Agents of Influence: a Review
AJung Moon, Shalaleh Rismani and H. F. Machiel Van der Loos
Current Robotics Reports
(2021-06-01)
link.springer.comPDF
Enabling Technologies for Energy Cloud
Thar Baker, Zehua Guo, Ali Ismail Awad, Shangguang Wang and Benjamin C.M. Fung
Journal of Parallel and Distributed Computing
(2021-06-01)
www.sciencedirect.com
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen and Yefeng Zheng
gRemote: Cloud rendering on GPU resource pool based on API-forwarding
Dongjie Tang, Linsheng Li, Jiacheng Ma, Xue Liu, Zhengwei Qi and Haibing Guan
Journal of Systems Architecture
(2021-06-01)
www.sciencedirect.com
What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions
Mohab Aly, Foutse Khomh and Soumaya Yacout
IOT 2021
(2021-06-01)
www.sciencedirect.com
Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks
Yang Wang, Xu Jiang, Nan Guan, Zhishan Guo, Xue Liu and Wang Yi
IEEE Transactions on Parallel and Distributed Systems
(2021-06-01)
uu.diva-portal.org
Neural Successive Cancellation Flip Decoding of Polar Codes
Nghia Doan, Seyyed Ali Hashemi, Furkan Ercan, Thibaud Tonnellier and Warren J. Gross
Journal of Signal Processing Systems
(2021-06-01)
link.springer.com
DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries and Chris Pal
ER-AE: Differentially Private Text Generation for Authorship Anonymization
Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung and Farkhund Iqbal

2021-05

Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks
Yogesh Girdhar, Dmitriy Rivkin, Di Wu, Michael Jenkin, Xue Liu and Gregory Dudek
ICRA 2021
(2021-05-30)
dblp.uni-trier.de
On the benefits of representation regularization in invariance based domain generalization.
Changjian Shui, Boyu Wang and Christian Gagné
arXiv preprint arXiv:2105.14529
(2021-05-30)
ui.adsabs.harvard.eduPDF
Multimodal dynamics modeling for off-road autonomous vehicles
Jean-Francois Tremblay, Travis Manderson, Aurelio Noca, Gregory Dudek and David Meger
Learning to Extend Program Graphs to Work-in-Progress Code.
Xuechen Li, Chris J. Maddison and Daniel Tarlow
arXiv preprint arXiv:2105.14038
(2021-05-28)
ui.adsabs.harvard.eduPDF
Efficient and robust multi-task learning in the brain with modular task primitives.
Christian David Marton, Guillaume Lajoie and Kanaka Rajan
arXiv preprint arXiv:2105.14108
(2021-05-28)
ui.adsabs.harvard.eduPDF
Gotta Go Fast When Generating Data with Score-Based Models.
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman and Ioannis Mitliagkas
arXiv: Learning
(2021-05-28)
ui.adsabs.harvard.eduPDF
AndroidEnv: A Reinforcement Learning Platform for Android.
Daniel Toyama, Philippe Hamel, Anita Gergely, Gheorghe Comanici, Amelia Glaese, Zafarali Ahmed, Tyler Jackson, Shibl Mourad and Doina Precup
arXiv preprint arXiv:2105.13231
(2021-05-27)
ui.adsabs.harvard.eduPDF
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning
Manfred Diaz, Thomas Fevens and Liam Paull
CRV 2021
(2021-05-26)
dblp.uni-trier.de
Deep Koopman Representation for Control over Images (DKRCI)
Philippe Laferriere, Samuel Laferriere, Steven Dahdah, James Richard Forbes and Liam Paull
CRV 2021
(2021-05-26)
ieeexplore.ieee.org
Recovering the wedge modes lost to 21-cm foregrounds
Samuel Gagnon-Hartman, Yue Cui, Adrian Liu and Siamak Ravanbakhsh
Monthly Notices of the Royal Astronomical Society
(2021-05-25)
academic.oup.comPDF[Also on arXiv: Cosmology and Nongalactic Astrophysics (2021-05-25)]
Deep generative models for galaxy image simulations
François Lanusse, Rachel Mandelbaum, Siamak Ravanbakhsh, Chun-Liang Li, Peter Freeman and Barnabás Póczos
Monthly Notices of the Royal Astronomical Society
(2021-05-25)
academic.oup.comPDF
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19
Zhi Wen, Guido Powell, Imane Chafi, David L Buckeridge and Yue Li
medRxiv
(2021-05-24)
europepmc.orgPDF
RISC-V Barrel Processor for Deep Neural Network Acceleration
MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria and Jean-Pierre David
ISCAS 2021
(2021-05-22)
ieeexplore.ieee.org
Deep generative models for galaxy image simulations
François Lanusse, Rachel Mandelbaum, Siamak Ravanbakhsh, Chun-Liang Li, Peter Freeman and Barnabás Póczos
Monthly Notices of the Royal Astronomical Society
(2021-05-21)
PDF
Publisher Correction: The default network of the human brain is associated with perceived social isolation
R. Nathan Spreng, Emile Dimas, Laetitia Mwilambwe-Tshilobo, Alain Dagher, Philipp Koellinger, Gideon Nave, Anthony Ong, Julius M. Kernbach, Thomas V. Wiecki, Tian Ge, Yue Li, Avram J. Holmes, B. T. Thomas Yeo, Gary R. Turner, Robin I. M. Dunbar and Danilo Bzdok
Nature Communications
(2021-05-21)
www-nature-com-443.webvpn.bjmu.tsg211.com
Le dialogue inclusif sur l’éthique de l’IA : délibération en ligne citoyenne et internationale pour l’UNESCO
Pauline Noiseau, Camylle Lanteigne, Lucia Flores Echaiz, Fatima Gabriela Gomez Salazar, Vincent Mai, Marc-Antoine Dilhac and Carl-Maria Mörch
Communication, technologies et développement
(2021-05-20)
journals.openedition.orgPDF
Scalable Multi-Robot System for Non-myopic Spatial Sampling.
Sandeep Manjanna, Ani Hsieh and Gregory Dudek
arXiv preprint arXiv:2105.10018
(2021-05-20)
ui.adsabs.harvard.eduPDF
Author Correction: RADICL-seq identifies general and cell type-specific principles of genome-wide RNA-chromatin interactions.
Alessandro Bonetti, Federico Agostini, Ana Maria Suzuki, Kosuke Hashimoto, Giovanni Pascarella, Juliette Gimenez, Leonie Roos, Alex J Nash, Marco Ghilotti, Christopher J F Cameron, Matthew Valentine, Yulia A Medvedeva, Shuhei Noguchi, Eneritz Agirre, Kaori Kashi, Samudyata, Joachim Luginbühl, Riccardo Cazzoli, Saumya Agrawal, Nicholas M Luscombe... (9 more)
Nature Communications
(2021-05-19)
www.nature.com
Periodic Freight Demand Forecasting for Large-scale Tactical Planning.
Greta Laage, Emma Frejinger and Gilles Savard
arXiv preprint arXiv:2105.09136
(2021-05-19)
ui.adsabs.harvard.eduPDF
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong and Yoshua Bengio
AAAI 2021
(2021-05-18)
ojs.aaai.org
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
AAAI 2021
(2021-05-18)
ojs.aaai.org
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative
Charlene Esteban Ronquillo, Laura Maria Peltonen, Lisiane Pruinelli, Charlene H. Chu, Suzanne Bakken, Ana Beduschi, Kenrick Cato, Nicholas Hardiker, Alain Junger, Martin Michalowski, Rune Nyrup, Samira Rahimi, Donald Nigel Reed, Tapio Salakoski, Sanna Salanterä, Nancy Walton, Patrick Weber, Thomas Wiegand and Maxim Topaz
Journal of Advanced Nursing
(2021-05-18)
europepmc.orgPDF
Evaluation of a prenatal screening decision aid: A mixed methods pilot study.
Titilayo Tatiana Agbadje, Samira Abbasgholizadeh Rahimi, Mélissa Côté, Andrée-Anne Tremblay, Mariama Penda Diallo, Hélène Elidor, Alex Poulin Herron and Codjo Djignefa Djade
Patient Education and Counseling
(2021-05-18)
europepmc.org
Individual Fairness in Kidney Exchange Programs.
Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki and Margarida Carvalho
AAAI 2021
(2021-05-18)
ojs.aaai.org
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg and Florian Shkurti
AAAI 2021
(2021-05-18)
ojs.aaai.org
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor and Sarath Chandar
AAAI 2021
(2021-05-18)
ojs.aaai.orgPDF
Learning Intuitive Physics with Multimodal Generative Models
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger and Gregory Dudek
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery.
Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist and William L. Hamilton
arXiv preprint arXiv:2105.10488
(2021-05-17)
ui.adsabs.harvard.eduPDF
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati and Foutse Khomh
arXiv preprint arXiv:2105.08095
(2021-05-17)
ui.adsabs.harvard.eduPDF
Universal Dependencies 2.8.1
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Hamid Aghaei, Željko Agić, Amir Ahmadi, Lars Ahrenberg, Chika Kennedy Ajede, Gabrielė Aleksandravičiūtė, Ika Alfina, Lene Antonsen, Katya Aplonova, Angelina Aquino, Carolina Aragon, Maria Jesus Aranzabe, Bilge Nas Arıcan, Þórunn Arnardóttir, Gashaw Arutie... (434 more)
(venue unknown)
(2021-05-15)
lindat.mff.cuni.cz
Quantitative magnetic resonance imaging of spinal cord microstructure in adults with cerebral palsy.
Developmental Medicine & Child Neurology
(2021-05-15)
europepmc.org
Imbalanced social-communicative and restricted repetitive behavior subtypes of autism spectrum disorder exhibit different neural circuitry
Natasha Bertelsen, Isotta Landi, Richard A I Bethlehem, Jakob Seidlitz, Elena Maria Busuoli, Veronica Mandelli, Eleonora Satta, Stavros Trakoshis, Bonnie Auyeung, Prantik Kundu, Eva Loth, Guillaume Dumas, Sarah Baumeister, Christian F Beckmann, Sven Bölte, Thomas Bourgeron, Tony Charman, Sarah Durston, Christine Ecker, Rosemary J Holt... (15 more)
Communications Biology
(2021-05-14)
europepmc.org
Recurrent Traumatic Brain Injury Surveillance Using Administrative Health Data: A Bayesian Latent Class Analysis.
Oliver Lasry, Nandini Dendukuri, Judith Marcoux and David L. Buckeridge
Frontiers in Neurology
(2021-05-14)
europepmc.org
The overfitted brain hypothesis.
Luke Y. Prince and Blake A. Richards
Patterns (New York, N.Y.)
(2021-05-14)
europepmc.org
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
Alexandre Payeur, Jordan Guerguiev, Friedemann Zenke, Blake A Richards and Richard Naud
Nature Neuroscience
(2021-05-13)
europepmc.org[Also on bioRxiv (2020-03-31)]
Fairness and Discrimination in Information Access Systems
Michael D. Ekstrand, Anubrata Das, Robin Burke and Fernando Diaz
arXiv preprint arXiv:2105.05779
(2021-05-12)
ui.adsabs.harvard.eduPDF
Reciprocity and alignment: quantifying coupling in dynamic interactions
Guillaume Dumas and Merle T. Fairhurst
Royal Society Open Science
(2021-05-12)
europepmc.orgPDF
CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
Luke Y. Prince, Ellen Boven, Roy Henha Eyono, Arna Ghosh, Joe Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Blake A. Richards, Cristina Savin and Katharina Anna Wilmes
arXiv preprint arXiv:2105.05382
(2021-05-12)
ui.adsabs.harvard.eduPDF
Examining the Effects of Feedback-giving as a Gamification Mechanic in Crowd Rating Systems
Jian Tang, Yuxiang (Chris) Zhao, Tianmei Wang and Zhiyuan Zeng
International Journal of Human-computer Interaction
(2021-05-11)
doi.org
Exploring the Wasserstein metric for time-to-event analysis
Tristan Sylvain, Margaux Luck, Joseph Cohen, Heloise Cardinal, Andrea Lodi and Yoshua Bengio
Survival Prediction - Algorithms, Challenges and Applications
(2021-05-11)
proceedings.mlr.pressPDF
Phenotypical predictors of pregnancy-related restless legs syndrome and their association with basal ganglia and the limbic circuits
Natalia Chechko, Jeremy Lefort-Besnard, Tamme W Goecke, Markus Frensch, Patricia Schnakenberg, Susanne Stickel and Danilo Bzdok
Scientific Reports
(2021-05-11)
europepmc.org
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
Farimah Poursafaei, Reihaneh Rabbany and Zeljko Zilic
PAKDD 2021
(2021-05-11)
link.springer.com
A Comparison of an Artificial Intelligence Tool to Fundamental Frequency as an Outcome Measure in People Seeking a More Feminine Voice.
Yael Bensoussan, Christopher Park, Michael Johns, Sarah Brown, Jeremy Pinto, Joseph Chang and Mark Courey
Laryngoscope
(2021-05-11)
europepmc.org
Graph Attention Networks with Positional Embeddings
Liheng Ma, Reihaneh Rabbany and Adriana Romero-Soriano
TAG: Task-based Accumulated Gradients for Lifelong learning.
Pranshu Malviya, Balaraman Ravindran and Sarath Chandar
arXiv preprint arXiv:2105.05155
(2021-05-11)
ui.adsabs.harvard.eduPDF
Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs
Yakun Huang, Hongru Zhao, Xiuquan Qiao, Jian Tang and Ling Liu
INFOCOM 2021
(2021-05-10)
experts.syr.edu
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach
Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang and Guoren Wang
INFOCOM 2021
(2021-05-10)
experts.syr.edu
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle.
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy and Aaron C. Courville
SARS-CoV-2 B.1.617 emergence and sensitivity to vaccine-elicited antibodies
Petra Mlcochova, Steven A Kemp, Mahesh Shanker Dhar, Guido Papa, Bo Meng, Swapnil Mishra, Charlie Whittaker, Thomas Mellan, Isabella Ferreira, Rawlings Datir, Dami Collier, Sujeet Singh, Rajesh Pandey, Kalaiarasan Ponnusamy, V S Radhakrishnan, Shantanu Sengupta, Jonathan Brown, Robin Marwal, Niluka Goonawardne, Adam Abdullahi... (30 more)
bioRxiv
(2021-05-09)
europepmc.orgPDF
Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop
Jazlyn Hellman, Jinghui Cheng and Jin L.C. Guo
Understanding by Understanding Not: Modeling Negation in Language Models.
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni and Aaron C. Courville
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus
Alexandra Sasha Luccioni and Joseph D. Viviano
arXiv preprint arXiv:2105.02732
(2021-05-06)
arxiv.orgPDF
Interprofessional collaboration and health policy: results from a Quebec mixed method legal research.
Marie-Andrée Girard, Catherine Régis and Jean-Louis Denis
Journal of Interprofessional Care
(2021-05-06)
europepmc.org
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation.
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz and Xue Liu
arXiv preprint arXiv:2105.02951
(2021-05-06)
ui.adsabs.harvard.eduPDF
“I Can’t Reply with That”: Characterizing Problematic Email Reply Suggestions
Ronald E Robertson, Alexandra Olteanu, Fernando Diaz, Milad Shokouhi and Peter Bailey
CHI 2021
(2021-05-06)
dl.acm.org
The N170 Face-Sensitive Brain Response: Toward a Stratification Biomarker for ASD
Emily Jones, Luke Mason, Carolin Moessnang, Christopher H Chatham, Lindsay Ham, Julian Tillmann, Guillaume Dumas, Claire Louise Ellis, Claire Leblond, Freddy Cliquet, Thomas Bourgeron, Tony Charman, Jan Koenraad Buitelaar, Eva Loth, Mark Johnson and Declan G. Murphy
INSAR 2021
(2021-05-05)
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation.
Olivier Vincent, Charley Gros and Julien Cohen-Adad
arXiv preprint arXiv:2105.02197
(2021-05-05)
ui.adsabs.harvard.eduPDF
Dilations and degeneracy in network controllability
Liam Chung, Derek Ruths and Justin Ruths
Scientific Reports
(2021-05-05)
www-nature-com-443.webvpn.bjmu.tsg211.com
Iterative Amortized Policy Optimization
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo and Yisong Yue
Iterative Graph Self-Distillation
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang and Eric Xing
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Adversarial Meta-Learning
Chengxiang Yin, Jian Tang, Zhiyuan Xu and Yanzhi Wang
arxiv:cs.LG
(2021-05-04)
dblp.uni-trier.dePDF
GraphSAD: Learning Graph Representations with Structure-Attribute Disentanglement
Minghao Xu, Hang Wang, Bingbing Ni, Wenjun Zhang and Jian Tang
(venue unknown)
(2021-05-04)
openreview.netPDF
Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo and Jian Tang
Adversarial Feature Desensitization
Pouya Bashivan, Mojtaba Faramarzi, Touraj Laleh, Blake Aaron Richards and Irina Rish
NEURIPS 2021
(2021-05-04)
papers.nips.cc
Orthogonal Over-Parameterized Training
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song and Adrian Weller
CVPR 2021
(2021-05-04)
openaccess.thecvf.comPDF
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke, Aniket Rajiv Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Curtis Mozer, Yoshua Bengio and Christopher Pal
NEURIPS 2021
(2021-05-04)
www.acemap.infoPDF
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations
Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau and Jakob Nicolaus Foerster
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Neural Bayes: A Generic Parameterization Method for Unsupervised Learning
Devansh Arpit, Huan Wang, Caiming Xiong, richard socher and Yoshua Bengio
(venue unknown)
(2021-05-04)
openreview.netPDF
Transformers with Competitive Ensembles of Independent Mechanisms
Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli and Yoshua Bengio
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations
Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin and David Vazquez
ICCV 2021
(2021-05-04)
openaccess.thecvf.comPDF
Unified Principles For Multi-Source Transfer Learning Under Label Shifts
changjian shui, Zijian Li, jiaqi li, Christian Gagné, Charles Ling and Boyu Wang
(venue unknown)
(2021-05-04)
openreview.netPDF
Understanding and Mitigating Accuracy Disparity in Regression
Jianfeng Chi, Han Zhao, Geoff Gordon and Yuan Tian
ICML 2021
(2021-05-04)
proceedings.mlr.pressPDF
PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks
Olivier Tessier-Lariviere, Luke Y. Prince, Pascal Fortier-Poisson, Lorenz Wernisch, Oliver Armitage, Emil Hewage, Guillaume Lajoie and Blake A. Richards
NER 2021
(2021-05-04)
ieeexplore.ieee.org
Lifespan Perspective on Congenital Heart Disease Research: JACC State-of-the-Art Review.
Gerhard-Paul Diller, Alexandra Arvanitaki, Alexander R. Opotowsky, Kathy Jenkins, Philip Moons, Alexander Kempny, Animesh Tandon, Andrew Redington, Paul Khairy, Seema Mital, Michael Α. Gatzoulis, Yue Li and Ariane Marelli
Journal of the American College of Cardiology
(2021-05-04)
europepmc.org
Decoupled Greedy Learning of Graph Neural Networks
Yewen Wang, Jian Tang, Yizhou Sun and Guy Wolf
(venue unknown)
(2021-05-04)
openreview.netPDF
Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training
Eleni Triantafillou, Vincent Dumoulin, Hugo Larochelle and Richard Zemel
(venue unknown)
(2021-05-04)
openreview.netPDF
Practical Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto, David Meger and Doina Precup
(venue unknown)
(2021-05-04)
openreview.netPDF
Correcting Momentum in Temporal Difference Learning
Emmanuel Bengio, Joelle Pineau and Doina Precup
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Offline Policy Optimization with Variance Regularization
Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Zhaoran Wang, Animesh Garg, Lihong Li and Doina Precup
(venue unknown)
(2021-05-04)
openreview.netPDF
Conditional Networks
Anthony Ortiz, Kris Sankaran, Olac Fuentes, Christopher Kiekintveld, Pascal Vincent, Yoshua Bengio and Doina Precup
(venue unknown)
(2021-05-04)
openreview.net
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai and Christopher Pal
(venue unknown)
(2021-05-04)
openreview.netPDF
Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks
William Harvey, Michael Teng and Frank Wood
(venue unknown)
(2021-05-04)
openreview.netPDF
Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs
Stefan Horoi, Jessie Huang, Guy Wolf and Smita Krishnaswamy
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Search Data Structure Learning
Mathieu Duchesneau, Hansenclever Bassani and Alain Tapp
(venue unknown)
(2021-05-04)
openreview.netPDF
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
Vincent Mai, Waleed Khamies and Liam Paull
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Dependency Structure Discovery from Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Bernhard Schölkopf, Michael Curtis Mozer, Hugo Larochelle, Christopher Pal and Yoshua Bengio
(venue unknown)
(2021-05-04)
openreview.netPDF
CaLFADS: latent factor analysis of dynamical systems in calcium imaging data
Luke Yuri Prince, Shahab Bakhtiari, Colleen J Gillon and Blake Aaron Richards
(venue unknown)
(2021-05-04)
openreview.netPDF
GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural Networks
Koustuv Sinha, Shagun Sodhani, Joelle Pineau and William L. Hamilton
(venue unknown)
(2021-05-04)
openreview.netPDF
Uncertainty for deep image classifiers on out of distribution data.
Tiago Salvador, Alexander Iannantuono and Adam M Oberman
(venue unknown)
(2021-05-04)
openreview.netPDF
On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes
Thomas Ryan Davies, Derek Nowrouzezahrai and Alec Jacobson
arXiv e-prints
(2021-05-04)
onikle.comPDF
SSW-GAN: Scalable Stage-wise Training of Video GANs
Lluis Castrejon, Nicolas Ballas and Aaron Courville
(venue unknown)
(2021-05-04)
openreview.netPDF
Decomposing Mutual Information for Representation Learning
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoff Gordon, Remi Tachet des Combes and Philip Bachman
(venue unknown)
(2021-05-04)
openreview.netPDF
A Closer Look at Codistillation for Distributed Training
Shagun Sodhani, Olivier Delalleau, Mido Assran, Koustuv Sinha, Nicolas Ballas and Michael Rabbat
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Fundamental Limits and Tradeoffs in Invariant Representation Learning
Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoff Gordon and Pradeep Kumar Ravikumar
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations
Mido Assran, Nicolas Ballas, Lluis Castrejon and Michael Rabbat
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Out-of-Distribution Classification and Clustering
Gabriele Prato and Sarath Chandar
(venue unknown)
(2021-05-04)
openreview.netPDF
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer
Jonathan Pilault, Jaehong Park and Christopher Pal
(venue unknown)
(2021-05-04)
openreview.netPDF
Gradient penalty from a maximum margin perspective
Alexia Jolicoeur-Martineau and Ioannis Mitliagkas
arxiv:cs.LG
(2021-05-04)
openreview.netPDF
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler and Aaron Courville
XLVIN: eXecuted Latent Value Iteration Nets
Andreea Deac, Petar Veličković, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang and Mladen Nikolic
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Adversarial Boot Camp: label free certified robustness in one epoch
Ryan Campbell, Chris Finlay and Adam M Oberman
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Uncertainty in Neural Processes
Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy and Frank Wood
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Data-driven Learning of Geometric Scattering Networks
Alexander Tong, Frederik Wenkel, Kincaid Macdonald, Smita Krishnaswamy and Guy Wolf
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Uniform Priors for Data-Efficient Transfer
Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Hugo Larochelle and Animesh Garg
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Directional graph networks
Dominique Beaini, Saro Passaro, Vincent Letourneau, William L. Hamilton, Gabriele Corso and Pietro Liò
Maximum Reward Formulation In Reinforcement Learning
SaiKrishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor and Sarath Chandar
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Graph Adversarial Networks: Protecting Information against Adversarial Attacks
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoff Gordon, Stefanie Jegelka and Ruslan Salakhutdinov
(venue unknown)
(2021-05-04)
dblp.uni-trier.dePDF
Improving Few-Shot Visual Classification with Unlabelled Examples
Peyman Bateni, Jarred Barber, Jan-Willem van de Meent and Frank Wood
(venue unknown)
(2021-05-04)
dblp.uni-trier.dePDF
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
Glen Berseth, Florian Golemo and Christopher Pal
(venue unknown)
(2021-05-04)
openreview.netPDF
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
Sharan Vaswani, Issam H. Laradji, Frederik Kunstner, Si Yi Meng, Mark Schmidt and Simon Lacoste-Julien
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Revisiting Loss Modelling for Unstructured Pruning
César Laurent, Camille Ballas, Thomas George, Pascal Vincent and Nicolas Ballas
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.eduPDF
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Remi Le Priol and Aaron Courville
Meta Attention Networks: Meta-Learning Attention to Modulate Information Between Recurrent Independent Mechanisms
Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf and Yoshua Bengio
ICLR 2021
(2021-05-03)
openreview.net
Spatially Structured Recurrent Modules
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio and Bernhard Schölkopf
ICLR 2021
(2021-05-03)
dblp.uni-trier.de
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio and Michael Curtis Mozer
ICLR 2021
(2021-05-03)
research.googlePDF
DC3: A learning method for optimization with hard constraints
Priya L. Donti, David Rolnick and J Zico Kolter
The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure
Tommy Boshkovski, Ljupco Kocarev, Julien Cohen-Adad, Bratislav Mišić, Stéphane Lehéricy, Nikola Stikov and Matteo Mancini
Network Neuroscience
(2021-05-03)
direct.mit.edu
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
Jonathan Cornford, Damjan Kalajdzievski, Marco Leite, Amélie Lamarquette, Dimitri Michael Kullmann and Blake Aaron Richards
Batch Reinforcement Learning Through Continuation Method
Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed Chi, Honglak Lee and Minmin Chen
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Amy Zhang, Shagun Sodhani, Khimya Khetarpal and Joelle Pineau
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, victor schmidt, Pierre-luc St-charles, hannah alsdurf, Olexa Bilaniuk, david buckeridge, gaetan caron, pierre luc carrier, Joumana Ghosn, satya ortiz gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf... (3 more)
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas and Remi Tachet des Combes
ICLR 2021
(2021-05-03)
www.microsoft.comPDF
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon, Hwidong Na, Gabriel Huang and Simon Lacoste-Julien
Iterated learning for emergent systematicity in VQA
Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane and Aaron Courville
Learning Task Decomposition with Order-Memory Policy Network
Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum and Chuang Gan
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Systematic generalisation with group invariant predictions
Faruk Ahmed, Yoshua Bengio, Harm van Seijen and Aaron Courville
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Joseph D Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
gradSim: Differentiable simulation for system identification and visuomotor control
J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai and Sanja Fidler
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Neural representation and generation for RNA secondary structures
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault, Amine El hattami and Christopher Pal
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie-Marchildon, Faruk Ahmed and Aaron Courville
ICLR 2021
(2021-05-03)
dblp.uni-trier.de
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schölkopf and Stefan Bauer
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Reinforcement Learning with Random Delays
Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher Pal and Jonathan Binas
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro and Marc G Bellemare
Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng and Jian Tang
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis and Aaron Courville
Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron Courville and Zhanxing Zhu
Regularized Inverse Reinforcement Learning
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai and Joelle Pineau
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio and Jian Tang
The Importance of Pessimism in Fixed-Dataset Policy Optimization
Jacob Buckman, Carles Gelada and Marc G Bellemare
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang and Hugo Larochelle
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville and Philip Bachman
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio and Bernhard Schölkopf
Emergence of Chern insulating states in non-Magic angle twisted bilayer graphene
Cheng Shen, Jianghua Ying, Le Liu, Jianpeng Liu, Na Li, Shuopei Wang, Jian Tang, Yanchong Zhao, Yanbang Chu, Kenji Watanabe, Takashi Taniguchi, Rong Yang, Dongxia Shi, Fanming Qu, Li Lu, Wei Yang and Guangyu Zhang
Chinese Physics Letters
(2021-05-01)
iopscience.iop.org
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning
Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang and Jieping Ye
IEEE Transactions on Knowledge and Data Engineering
(2021-05-01)
doi.org
Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning
Haoxu Wang and David Meger
CRV 2021
(2021-05-01)
doi.org
SWAT tool at the SBST 2021 Tool Competition
Dmytro Humeniuk, Giuliano Antoniol and Foutse Khomh
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)
(2021-05-01)
dblp.uni-trier.de
Code Generation for Room Acoustics Simulations with Complex Boundary Conditions
Larisa Stoltzfus, Brian Hamilton, Michel Steuwer, Lu Li and Christophe Dubach
IPDPS 2021
(2021-05-01)
dblp.uni-trier.de
Deep Learning for Voice Gender Identification: Proof‐of‐concept for Gender‐Affirming Voice Care
Yael Bensoussan, Jeremy Pinto, Matthew Crowson, Patrick R. Walden, Frank Rudzicz and Michael Johns
Laryngoscope
(2021-05-01)
onlinelibrary.wiley.com
Data Driven Testing of Cyber Physical Systems
Dmytro Humeniuk, Giuliano Antoniol and Foutse Khomh
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)
(2021-05-01)
dblp.uni-trier.de[Also on arXiv preprint arXiv:2102.11491 (2021-02-23)]
The Covering-Assignment Problem for Swarm-Powered Ad Hoc Clouds: A Distributed 3-D Mapping Usecase
Leandro R. Costa, Daniel Aloise, Luca G. Gianoli and Andrea Lodi
IEEE Internet of Things Journal
(2021-05-01)
ieeexplore.ieee.org

2021-04

Design and Implementation of Smooth Renewable Power in Cloud Data Centers
Xinxin Liu, Yu Hua, Xue Liu, Ling Yang and Yuanyuan Sun
IEEE Transactions on Cloud Computing
(2021-04-30)
ieeexplore.ieee.org
What is Going on Inside Recurrent Meta Reinforcement Learning Agents
Safa Alver and Doina Precup
arXiv preprint arXiv:2104.14644
(2021-04-29)
ui.adsabs.harvard.eduPDF
Phonons and Quantum Criticality Revealed by Temperature Linear Resistivity in Twisted Double Bilayer Graphene
Yanbang Chu, Le Liu, Cheng Shen, Jinpeng Tian, Jian Tang, Yanchong Zhao, Jieying Liu, Yalong Yuan, Yiru Ji, Rong Yang, Kenji Watanabe, Takashi Taniguchi, Dongxia Shi, Fengcheng Wu, Wei Yang and Guangyu Zhang
arXiv preprint arXiv:2104.05406
(2021-04-28)
europepmc.orgPDF
Fast Optimisation of Convolutional Neural Network Inference using System Performance Models
Rik Mulder, Valentin Radu and Christophe Dubach
EUROSYS 2021
(2021-04-26)
dblp.uni-trier.dePDF
Recurrent neural networks achieving MLSE performance for optical channel equalization.
Sai-Chandra-Kumari Kalla, Christian Gagné, Ming Zeng and Leslie A. Rusch
Optics Express
(2021-04-26)
europepmc.org
CosmicRIM : Reconstructing Early Universe by Combining Differentiable Simulations with Recurrent Inference Machines
Chirag Modi, François Lanusse, Uroš Seljak, David N. Spergel and Laurence Perreault-Levasseur
arXiv preprint arXiv:2104.12864
(2021-04-26)
ui.adsabs.harvard.eduPDF
Automatic API Usage Scenario Documentation from Technical Q&A Sites
Gias Uddin, Foutse Khomh and Chanchal K. Roy
ACM Transactions on Software Engineering and Methodology
(2021-04-23)
dl.acm.org[Also on arXiv preprint arXiv:2102.08502 (2021-02-16)]
Mini-batch graphs for robust image classification.
Arnab Kumar Mondal, Vineet Jain and Kaleem Siddiqi
arXiv preprint arXiv:2105.03237
(2021-04-22)
dblp.uni-trier.dePDF
Tracking white and grey matter degeneration along the spinal cord axis in degenerative cervical myelopathy
Kevin Vallotton, Gergely David, Markus Hupp, Nikolai Pfender, Julien Cohen-Adad, Michael Fehlings, Rebecca S. Samson, Claudia A. M. Gandini Wheeler-Kingshott, Armin Curt, Patrick Freund and Maryam Seif
medRxiv
(2021-04-22)
www.medrxiv.orgPDF
Gradient Masked Federated Optimization.
Irene Tenison, Sreya Francis and Irina Rish
arXiv preprint arXiv:2104.10322
(2021-04-21)
ui.adsabs.harvard.eduPDF
Modeling Event Plausibility with Consistent Conceptual Abstraction.
Ian Porada, Kaheer Suleman, Adam Trischler and Jackie Chi Kit Cheung
hBert + BiasCorp - Fighting Racism on the Web
Olawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu and Yoshua Bengio
Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
(2021-04-19)
tspace.library.utoronto.caPDF[Also on arXiv preprint arXiv:2104.02242 (2021-04-06)]
Smart about medications (SAM): a digital solution to enhance medication management following hospital discharge.
Santiago Márquez Fosser, Nadar Mahmoud, Bettina Habib, Daniala L Weir, Fiona Chan, Rola El Halabieh, Jeanne Vachon, Manish Thakur, Thai Tran, Melissa Bustillo, Caroline Beauchamp, André Bonnici, David L Buckeridge and Robyn Tamblyn
JAMIA open
(2021-04-19)
academic.oup.com
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection
Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany and Christos Faloutsos
ICDE 2021
(2021-04-19)
ieeexplore.ieee.org
The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch and Reihaneh Rabbany
Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kırnap, Fernando Diaz, Asia Biega, Michael Ekstrand, Ben Carterette and Emine Yilmaz
Enquire One’s Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng and Bang Liu
Linguistic dependencies and statistical dependence
Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du and Timothy J. O'Donnell
arXiv preprint arXiv:2104.08685
(2021-04-18)
arxiv.orgPDF
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval
Devang Kulshreshtha, Robert Belfer, Iulian Vlad Serban and Siva Reddy
Linguistic Dependencies and Statistical Dependence
Jacob Louis Hoover, Wenyu Du, Alessandro Sordoni and Timothy J. O’Donnell
EMNLP 2021
(2021-04-17)
aclanthology.orgPDF
Characterizing Idioms: Conventionality and Contingency.
Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner and Timothy J. O'Donnell
arXiv preprint arXiv:2104.08664
(2021-04-17)
dblp.uni-trier.dePDF
The Topic Confusion Task: A Novel Scenario for Authorship Attribution.
arXiv preprint arXiv:2104.08530
(2021-04-17)
dblp.uni-trier.dePDF
Compressed Imaging Reconstruction with Sparse Random Projection
Peihao Yang, Linghe Kong, Meikang Qiu, Xue Liu and Guihai Chen
ACM Transactions on Multimedia Computing, Communications, and Applications
(2021-04-16)
dl.acm.org
Machine learning for combinatorial optimization: A methodological tour d’horizon
Yoshua Bengio, Andrea Lodi and Antoine Prouvost
European Journal of Operational Research
(2021-04-16)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]
SYSTEMS AND METHODS FOR INSTANCE SEGMENTATION BASED ON SEMANTIC SEGMENTATION
Tang Jian, Yin Chengxiang, Wu Kun and Che Zhengping
(venue unknown)
(2021-04-15)
lens.org
METHOD AND SYSTEM FOR CONTINUAL META-LEARNING
Tang Jian, Wu Kun, Yin Chengxiang and Che Zhengping
(venue unknown)
(2021-04-15)
lens.org
Sometimes We Want Translationese.
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau and Adina Williams
arXiv preprint arXiv:2104.07623
(2021-04-15)
ui.adsabs.harvard.eduPDF
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
François-Xavier Devailly, Denis Larocque and Laurent Charlin
IEEE Transactions on Intelligent Transportation Systems
(2021-04-15)
ieeexplore.ieee.org
Comparative Study of Learning Outcomes for Online Learning Platforms
Francois St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban and Ekaterina Kochmar
arXiv: Computers and Society
(2021-04-15)
arxiv.orgPDF
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
François-Xavier Devailly, Denis Larocque and Laurent Charlin
IEEE Transactions on Intelligent Transportation Systems
(2021-04-15)
ui.adsabs.harvard.eduPDF
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams and Douwe Kiela
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention.
arXiv preprint arXiv:2104.06645
(2021-04-14)
ui.adsabs.harvard.eduPDF
Towards Causal Federated Learning For Enhanced Robustness and Privacy.
Sreya Francis, Irene Tenison and Irina Rish
arXiv preprint arXiv:2104.06557
(2021-04-14)
ui.adsabs.harvard.eduPDF
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer’s Disease
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis and Vince D. Calhoun
ISBI 2021
(2021-04-13)
ieeexplore.ieee.org
Science-Software Linkage: The Challenges of Traceability between Scientific Knowledge and Software Artifacts.
Hideaki Hata, Jin L. C. Guo, Raula Gaikovina Kula and Christoph Treude
arXiv preprint arXiv:2104.05891
(2021-04-13)
ui.adsabs.harvard.eduPDF
Common Limitations of Image Processing Metrics: A Picture Story
Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman... (14 more)
arXiv: Computer Vision and Pattern Recognition
(2021-04-12)
ui.adsabs.harvard.eduPDF
Reducing Representation Drift in Online Continual Learning.
Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau and Eugene Belilovsky
arXiv preprint arXiv:2104.05025
(2021-04-11)
ui.adsabs.harvard.eduPDF
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting.
Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold and Tal Arbel
SYSTEM AND METHOD FOR WIFI-BASED INDOOR LOCALIZATION VIA UNSUPERVISED DOMAIN ADAPTATION
Chen Xi, Li Hang, Zhou Chenyi, Liu Xue, Wu Di and Dudek Gregory Lewis
(venue unknown)
(2021-04-08)
lens.org
Mining heterogeneous clinical notes by multi-modal latent topic model.
Zhi Wen, Pratheeksha Nair, Chih-Ying Deng, Xing Han Lu, Edward Moseley, Naomi George, Charlotta Lindvall and Yue Li
PLOS ONE
(2021-04-08)
europepmc.org
Multi-tract multi-symptom relationships in pediatric concussions
Guberman Gi, Stojanovski S, Nishat E, Ptito A, Bzdok D, Wheeler A and Descoteaux M
medRxiv
(2021-04-07)
europepmc.orgPDF
Ecole: A Library for Learning Inside MILP Solvers.
Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat and Andrea Lodi
arXiv preprint arXiv:2104.02828
(2021-04-06)
ui.adsabs.harvard.eduPDF
gradSim: Differentiable simulation for system identification and visuomotor control
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jerome Parent-Levesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai and Sanja Fidler
arXiv preprint arXiv:2104.02646
(2021-04-06)
ui.adsabs.harvard.eduPDF
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly and Hugo Larochelle
arXiv preprint arXiv:2104.02638
(2021-04-06)
ui.adsabs.harvard.eduPDF
Understanding Continual Learning Settings with Data Distribution Drift Analysis.
Timothée Lesort, Massimo Caccia and Irina Rish
arXiv preprint arXiv:2104.01678
(2021-04-04)
ui.adsabs.harvard.eduPDF
#EEGManyLabs : investigating the replicability of influential EEG experiments
Yuri G. Pavlov, Nika Adamian, Stefan Appelhoff, Mahnaz Arvaneh, Christopher S.Y. Benwell, Christian Beste, Amy R. Bland, Daniel E. Bradford, Florian Bublatzky, Niko A. Busch, Peter E. Clayson, Damian Cruse, Artur Czeszumski, Anna Dreber, Guillaume Dumas, Benedikt Ehinger, Giorgio Ganis, Xun He, José A. Hinojosa, Christoph Huber-Huber... (39 more)
Modeling Citywide Crowd Flows using Attentive Convolutional LSTM
Chi Harold Liu, Chengzhe Piao, Xiaoxin Ma, Ye Yuan, Jian Tang, Guoren Wang and Kin K. Leung
ICDE 2021
(2021-04-01)
www.computer.org
SYSTEMS AND METHODS FOR ANALYZING HUMAN DRIVING BEHAVIOR
Jiang Bo, Li Guangyu, Che Zhengping, Shi Xuefeng, Liu Mengyao, Ye Jieping, Liu Yan and Tang Jian
(venue unknown)
(2021-04-01)
lens.org
Touch-based Curiosity for Sparse-Reward Tasks.
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville and Pedro O. Pinheiro
arXiv preprint arXiv:2104.00442
(2021-04-01)
ui.adsabs.harvard.eduPDF
deep21: a deep learning method for 21 cm foreground removal
T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault-Levasseur and David N. Spergel
Journal of Cosmology and Astroparticle Physics
(2021-04-01)
collaborate.princeton.edu
Common limitations of performance metrics in biomedical image analysis
Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman... (15 more)
(venue unknown)
(2021-04-01)
openreview.netPDF
Analyzing the Kinematics of SITELLE Spectra using Machine Learning
Carter Rhea, Laurie Rousseau-Nepton, Simon Prunet, Julie Hlavacek-Larrondo, Sébastien Fabbro, Natalia Vale Asari, Kathryn Grasha, Laurence Perreault Levasseur and Laurence Prasow-Émond
Extragalactic Spectroscopic Surveys: Past
(2021-04-01)
ui.adsabs.harvard.edu
Out-of-Distribution Detection using Vision Transformers
Xuan Li, Christian Desrosiers and Xue Liu
(venue unknown)
(2021-04-01)
openreview.netPDF
Maintenance of a collection of machines under partial observability: Indexability and computation of Whittle index.
Nima Akbarzadeh and Aditya Mahajan
"Are you kidding me?": Detecting Unpalatable Questions on Reddit
Sunyam Bagga, Andrew Piper and Derek Ruths
EACL 2021
(2021-04-01)
aclanthology.org
Discourse-Aware Unsupervised Summarization for Long Scientific Documents.
Yue Dong, Andrei Mircea Romascanu and Jackie Chi Kit Cheung
EACL 2021
(2021-04-01)
aclanthology.org
A Design Framework for Invertible Logic
Naoya Onizawa, Kaito Nishino, Sean C. Smithson, Brett H. Meyer, Warren J. Gross, Hitoshi Yamagata, Hiroyuki Fujita and Takahiro Hanyu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
(2021-04-01)
doi.org
Understanding How and Why Developers Seek and Analyze API-Related Opinions
Gias Uddin, Olga Baysal, Latifa Guerrouj and Foutse Khomh
IEEE Transactions on Software Engineering
(2021-04-01)
doi.orgPDF[Also on arXiv preprint arXiv:2102.08495 (2021-02-16)]
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs.
Dora Jambor, Komal K. Teru, Joelle Pineau and William L. Hamilton
Mass-spectrometry analysis of the human pineal proteome during night and day and in autism.
Guillaume Dumas, Hany Goubran‐Botros, Mariette Matondo, Cécile Pagan, Cyril Boulègue, Thibault Chaze, Julia Chamot‐Rooke, Erik Maronde and Thomas Bourgeron
Journal of Pineal Research
(2021-04-01)
europepmc.orgPDF
Differentially private data publishing for arbitrarily partitioned data
Rong Wang, Benjamin C.M. Fung, Yan Zhu and Qiang Peng
Information Sciences
(2021-04-01)
www.sciencedirect.com
SeroTracker: a global SARS-CoV-2 seroprevalence dashboard.
Rahul K Arora, Abel Joseph, Jordan Van Wyk, Simona Rocco, Austin Atmaja, Ewan May, Tingting Yan, Niklas Bobrovitz, Jonathan Chevrier, Matthew P Cheng, Tyler Williamson and David L Buckeridge
Lancet Infectious Diseases
(2021-04-01)
www.ncbi.nlm.nih.gov
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Devendra Singh Sachan, Yuhao Zhang, Peng Qi and William L. Hamilton
AdSherlock: Efficient and Deployable Click Fraud Detection for Mobile Applications
Chenhong Cao, Yi Gao, Yang Luo, Mingyuan Xia, Wei Dong, Chun Chen and Xue Liu
IEEE Transactions on Mobile Computing
(2021-04-01)
doi.org

2021-03

Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness
Zeinab, Kermansaravi, Saidur Rahman, Foutse Khomh, Fehmi Jaafar and Yann-Gael Gueheneuc
arXiv preprint arXiv:2104.00058
(2021-03-31)
ui.adsabs.harvard.eduPDF
Functional architecture of the aging brain
Setton R, Mwilambwe-Tshilobo L, Girn M, Lockrow Aw, Baracchini G, Lowe Aj, Cassidy Bn, Li J, Luh W, Bzdok D, Leahy Rm, Ge T, Margulies Ds, Misic B, Bernhardt Bc, Dale Stevens W, Brigard Fd, Kundu P, Turner Gr and Nathan Spreng R
bioRxiv
(2021-03-31)
europepmc.orgPDF
All in This Together? A Preregistered Report on Deservingness of Government Aid during the COVID-19 Pandemic
Aengus Bridgman, Eric Merkley, Peter John Loewen, Taylor Owen and Derek Ruths
Journal of Experimental Political Science
(2021-03-31)
europepmc.orgPDF
Fasting alters the gut microbiome reducing blood pressure and body weight in metabolic syndrome patients.
András Maifeld, Hendrik Bartolomaeus, Ulrike Löber, Ellen G. Avery, Nico Steckhan, Lajos Markó, Nicola Wilck, Ibrahim Hamad, Urša Šušnjar, Anja Mähler, Christoph Hohmann, Chia-Yu Chen, Holger Cramer, Gustav Dobos, Till Robin Lesker, Till Strowig, Ralf Dechend, Danilo Bzdok, Markus Kleinewietfeld, Andreas Michalsen... (2 more)
Nature Communications
(2021-03-30)
europepmc.org
On Systematic Polarization-Adjusted Convolutional (PAC) Codes
Thibaud Tonnellier and Warren J. Gross
Loneliness and Neurocognitive Aging
R. Nathan Spreng and Danilo Bzdok
Advances in Geriatric Medicine and Research
(2021-03-29)
europepmc.orgPDF
Associations Between Relative Morning Blood Pressure, Cerebral Blood Flow, and Memory in Older Adults Treated and Controlled for Hypertension.
Adrián Noriega de la Colina, Atef Badji, Marie-Christine Robitaille-Grou, Christine Gagnon, Tommy Boshkovski, Maxime Lamarre-Cliche, Sven Joubert, Claudine J Gauthier, Louis Bherer, Julien Cohen-Adad and Hélène Girouard
Hypertension
(2021-03-29)
europepmc.org
Corrigendum: Infodemic Pathways: Evaluating the Role that Traditional and Social Media Play in Cross-National Information Transfer
Aengus Bridgman, Eric Merkley, Oleg Zhilin, Peter John Loewen, Taylor Owen and Derek Ruths
Frontiers in Political Science
(2021-03-29)
www.frontiersin.org
Bayesian Clustering for Continuous-Time Hidden Markov Models.
Yu Luo, David A. Stephens and David L. Buckeridge
arXiv: Methodology
(2021-03-28)
arxiv.orgPDF
Countering Racial Bias in Computer Graphics Research.
Theodore Kim, Holly E. Rushmeier, Julie Dorsey, Derek Nowrouzezahrai, Raqi Syed, Wojciech Jarosz and A. M. Darke
arXiv preprint arXiv:2103.15163
(2021-03-28)
ui.adsabs.harvard.eduPDF
Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation
Emerson F. Harkin, Peter R. Shen, Blake A. Richards and Richard Naud
bioRxiv
(2021-03-26)
www.biorxiv.orgPDF
A Practical Survey on Faster and Lighter Transformers.
Quentin Fournier, Gaétan Marceau Caron and Daniel Aloise
arXiv preprint arXiv:2103.14636
(2021-03-26)
ui.adsabs.harvard.eduPDF
Mapping gene transcription and neurocognition across human neocortex.
Justine Y Hansen, Ross D Markello, Jacob W Vogel, Jakob Seidlitz, Danilo Bzdok and Bratislav Misic
Nature Human Behaviour
(2021-03-25)
europepmc.org
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand and Anna N. Rafferty
arXiv preprint arXiv:2103.12198
(2021-03-22)
dblp.uni-trier.dePDF
Beyond Correlation versus Causation: Multi-brain Neuroscience Needs Explanation.
Quentin Moreau and Guillaume Dumas
Trends in Cognitive Sciences
(2021-03-19)
europepmc.org
Factors influencing consumer choice: a study of apparel and sustainable cues from Canadian and Indian consumers’ perspectives
Osmud Rahman, Benjamin C. M. Fung and Devender Kharb
International Journal of Fashion Design, Technology and Education
(2021-03-19)
www.tandfonline.com
Learning Task Decomposition with Ordered Memory Policy Network.
Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum and Chuang Gan
arXiv preprint arXiv:2103.10972
(2021-03-19)
ui.adsabs.harvard.eduPDF
The neural correlates of ongoing conscious thought.
Jonathan Smallwood, Adam Turnbull, Hao-ting Wang, Nerissa S.P. Ho, Giulia L. Poerio, Theodoros Karapanagiotidis, Delali Konu, Brontë Mckeown, Meichao Zhang, Charlotte Murphy, Deniz Vatansever, Danilo Bzdok, Mahiko Konishi, Robert Leech, Paul Seli, Jonathan W. Schooler, Boris Bernhardt, Daniel S. Margulies and Elizabeth Jefferies
iScience
(2021-03-19)
europepmc.org
Stochastic Computing: Techniques and Applications
Warren J. Gross and Vincent C. Gaudet
(venue unknown)
(2021-03-18)
openlibrary.telkomuniversity.ac.id
Learning with Gradient Descent and Weakly Convex Losses
Dominic Richards and Mike Rabbat
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau and Byron Boots
AISTATS 2021
(2021-03-18)
proceedings.mlr.pressPDF
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin and Yoshua Bengio
SoftSeg: Advantages of soft versus binary training for image segmentation.
Charley Gros, Andreanne Lemay and Julien Cohen-Adad
Medical Image Analysis
(2021-03-18)
www.sciencedirect.comPDF
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.
Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo and Yoram Bachrach
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji, Laurent Charlin and David Vazquez
arXiv preprint arXiv:2103.10226
(2021-03-18)
ui.adsabs.harvard.eduPDF
Implicit Regularization via Neural Feature Alignment
Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent and Simon Lacoste-Julien
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau and Pierre Alquier
Tensor Networks for Probabilistic Sequence Modeling
Jacob Miller, Guillaume Rabusseau and John Terilla
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
Nicolas Loizou, Sharan Vaswani, Issam Hadj Laradji and Simon Lacoste-Julien
A Meta-Review of Gamification Research
Ping Zhang, Jian Tang and Eunmi (Ellie) Jeong
16th International Conference on Diversity, Divergence, Dialogue, iConference 2021
(2021-03-17)
experts.syr.edu
Strengthening the culture of public health surveillance and population health monitoring
Arnaud Chiolero, David Buckeridge and Stéphane Cullati
Revue médicale suisse
(2021-03-17)
europepmc.org
Price discounting as a hidden risk factor of energy drink consumption
Hiroshi Mamiya, Erica E M Moodie, Alexandra M Schmidt, Yu Ma and David L Buckeridge
Canadian Journal of Public Health-revue Canadienne De Sante Publique
(2021-03-16)
europepmc.org
Diffusion Kurtosis Imaging of the neonatal Spinal Cord: design and application of the first processing pipeline implemented in Spinal Cord Toolbox
Rosella Trò, Monica Roascio, Domenico Tortora, Mariasavina Severino, Andrea Rossi, Julien Cohen-Adad, Marco Massimo Fato and Gabriele Arnulfo
medRxiv
(2021-03-15)
www.medrxiv.orgPDF
Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia and Carole-Jean Wu
Proceedings of Machine Learning and Systems
(2021-03-15)
proceedings.mlsys.orgPDF
Image Dehazing in Disproportionate Haze Distributions
Shih-Chia Huang, Da-Wei Jaw, Wenli Li, Zhihui Lu, Sy-Yen Kuo, Benjamin C. M. Fung, Bo-Hao Chen and Thanisa Numnonda
IEEE Access
(2021-03-15)
doi.org
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux and Pascal Vincent
MLsys 2021 - 4th Conference on Machine Learning and Systems
(2021-03-15)
proceedings.mlsys.orgPDF[Also on arXiv preprint arXiv:2103.03098 (2021-03-01)]
Scaleable input gradient regularization for adversarial robustness
Chris Finlay and Adam M. Oberman
Machine Learning with Applications
(2021-03-15)
www.sciencedirect.comPDF
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication.
Kalesha Bullard, Douwe Kiela, Joelle Pineau and Jakob N. Foerster
arXiv preprint arXiv:2103.08067
(2021-03-14)
ui.adsabs.harvard.eduPDF
Non-linearity matters: a deep learning solution to generalization of hidden brain patterns across population cohorts
Zabihi M, Kia Sm, Wolfers T, Dinga R, Llera A, Bzdok D, Beckmann Cf and Marquand A
bioRxiv
(2021-03-14)
europepmc.orgPDF
Local Data Debiasing for Fairness Based on Generative Adversarial Training
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu and Alain Tapp
Algorithms
(2021-03-14)
www.mdpi.com
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification
Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani and Fernando Diaz
Continuing professional education of Iranian healthcare professionals in shared decision-making: lessons learned.
Samira Abbasgholizadeh Rahimi, Charo Rodriguez, Jordie Croteau, Alireza Sadeghpour and Amir-Mohammad Navali
BMC Health Services Research
(2021-03-12)
bmchealthservres.biomedcentral.comPDF
Staying Ahead of the Epidemiologic Curve: Evaluation of the British Columbia Asthma Prediction System (BCAPS) During the Unprecedented 2018 Wildfire Season.
Sarah B. Henderson, Kathryn T. Morrison, Kathleen E. McLean, Yue Ding, Jiayun Yao, Gavin Shaddick and David L. Buckeridge
Frontiers in Public Health
(2021-03-12)
europepmc.org
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li and Jian Tang
Transactions of the Association for Computational Linguistics
(2021-03-11)
direct.mit.eduPDF
Electro-clinical features in epileptic children with chromosome 15q duplication syndrome.
M.-T. Dangles, V. Malan, G. Dumas, S. Romana, O. Raoul, D. Coste-Zeitoun, C. Soufflet, P. Vignolo-Diard, N. Bahi-Buisson, C. Barnérias, N. Chemaly, I. Desguerre, C. Gitiaux, M. Hully, M. Bourgeois, A. Guimier, M. Rio, A. Munnich, R. Nabbout, A. Kaminska... (1 more)
Clinical Neurophysiology
(2021-03-10)
europepmc.org
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning.
Dilip Arumugam, Peter Henderson and Pierre-Luc Bacon
arXiv preprint arXiv:2103.06224
(2021-03-10)
ui.adsabs.harvard.eduPDF
Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
Subhanik Purkayastha, Yanhe Xiao, Zhicheng Jiao, Rujapa Thepumnoeysuk, Kasey Halsey, Jing Wu, Thi My Linh Tran, Ben Hsieh, Ji Whae Choi, Dongcui Wang, Martin Vallières, Robin Wang, Scott Collins, Xue Feng, Michael Feldman, Paul J Zhang, Michael Atalay, Ronnie Sebro, Li Yang, Yong Fan... (2 more)
Korean Journal of Radiology
(2021-03-09)
europepmc.orgPDF
Model-Invariant State Abstractions for Model-Based Reinforcement Learning
Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor and Joelle Pineau
LOCO: Adaptive exploration in reinforcement learning via local estimation of contraction coefficients
Manfred Diaz, Liam Paull and Pablo Samuel Castro
ICLR 2021
(2021-03-09)
openreview.netPDF
Resolving Causal Confusion in Reinforcement Learning via Robust Exploration
Clare Lyle, Amy Zhang, Minqi Jiang, Joelle Pineau and Yarin Gal
ICLR 2021
(2021-03-09)
openreview.netPDF
Pretraining Reward-Free Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R Devon Hjelm, Philip Bachman and Aaron Courville
ICLR 2021
(2021-03-09)
openreview.netPDF
Summarizing Relevant Parts from Technical Videos
Mahmood Vahedi, Mohammad Masudur Rahman, Foutse Khomh, Gias Uddin and Giuliano Antoniol
SANER 2021
(2021-03-09)
ieeexplore.ieee.org
Parallel inference of hierarchical latent dynamics in two-photon calcium imaging of neuronal populations
Prince Ly, Bakhtiari S, Gillon Cj and Richards Ba
bioRxiv
(2021-03-08)
europepmc.orgPDF
A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes' interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19.
Jun Ding, David Earl Hostallero, Mohamed Reda El Khili, Gregory Joseph Fonseca, Simon Milette, Nuzha Noorah, Myriam Guay-Belzile, Jonathan Spicer, Noriko Daneshtalab, Martin Sirois, Karine Tremblay, Amin Emad and Simon Rousseau
PLOS Computational Biology
(2021-03-08)
europepmc.org
Training a First-Order Theorem Prover from Synthetic Data
Vlad Firoiu, Eser Aygun, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei Zhang, Doina Precup and Shibl Mourad
arXiv preprint arXiv:2103.03798
(2021-03-05)
ui.adsabs.harvard.eduPDF
Meta Learning Black-Box Population-Based Optimizers.
Hugo Siqueira Gomes, Benjamin Léger and Christian Gagné
arXiv preprint arXiv:2103.03526
(2021-03-05)
ui.adsabs.harvard.eduPDF
Comment on Starke et al.: "Computing schizophrenia: ethical challenges for machine learning in psychiatry": From machine learning to student learning: pedagogical challenges for psychiatry - Corrigendum.
Christophe Gauld, Jean-Arthur Micoulaud-Franchi and Guillaume Dumas
Psychological Medicine
(2021-03-04)
www.cambridge.orgPDF
Data Collection for the Learn-OCaml Programming Platform: Modelling How Students Develop Typed Functional Programs
Alana Ceci, Hanneli C. A. Tavante, Brigitte Pientka and Xujie Si
SIGCSE 2021
(2021-03-03)
doi.org
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay.
Qicheng Lao, Xiang Jiang, Mohammad Havaei and Yoshua Bengio
IEEE Transactions on Neural Networks
(2021-03-03)
europepmc.org
Successor Feature Sets: Generalizing Successor Representations Across Policies
Kianté Brantley, Soroush Mehri and Geoffrey J. Gordon
Predictive learning as a network mechanism for extracting low-dimensional latent space representations.
Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti and Eric Shea-Brown
Nature Communications
(2021-03-03)
europepmc.org[Also on bioRxiv (2020-09-17)]
HEad and neCK TumOR segmentation and outcome prediction in PET/CT images
Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Mathieu Hatt, Catherine Cheze-Le Rest, Dimitris Visvikis, Mario Jreige, Hesham Elhalawani, Sarah Boughdad, John O. Prior and Adrien Depeursinge
(venue unknown)
(2021-03-02)
zenodo.org
Training Binarized Neural Networks using Ternary Multipliers
Amir Ardakani, Arash Ardakani and Warren J. Gross
IEEE Design & Test of Computers
(2021-03-02)
ieeexplore.ieee.org
Functional specialization within the inferior parietal lobes across cognitive domains
Ole Numssen, Danilo Bzdok and Gesa Hartwigsen
Interpretable Multi-Modal Hate Speech Detection.
Prashanth Vijayaraghavan, Hugo Larochelle and Deb Roy
arXiv preprint arXiv:2103.01616
(2021-03-02)
ui.adsabs.harvard.eduPDF
Online Adversarial Attacks.
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent and Gauthier Gidel
arXiv preprint arXiv:2103.02014
(2021-03-02)
ui.adsabs.harvard.eduPDF
Coupled with EDDS and approaching anode technique enhanced electrokinetic remediation removal heavy metal from sludge.
Jian Tang, Zhongping Qiu, Hengjun Tang, Haiyue Wang, Weiping Sima, Chao Liang, Yi Liao, Zhihua Li, Shan Wan and Jianwei Dong
Environmental Pollution
(2021-03-01)
www.sciencedirect.com
Coordination Among Neural Modules Through a Shared Global Workspace.
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer and Yoshua Bengio
arXiv: Learning
(2021-03-01)
ui.adsabs.harvard.eduPDF
Automatic Mining of Opinions Expressed About APIs in Stack Overflow
Gias Uddin and Foutse Khomh
IEEE Transactions on Software Engineering
(2021-03-01)
ieeexplore.ieee.org
Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds
Leandro R. Costa, Daniel Aloise, Luca G. Gianoli and Andrea Lodi
Bayesian latent multi-state modeling for nonequidistant longitudinal electronic health records.
Yu Luo, David A. Stephens, Aman Verma and David L. Buckeridge
Biometrics
(2021-03-01)
onlinelibrary.wiley.com
Integrated inbound train split and load planning in an intermodal railway terminal
Bruno P. Bruck, Jean-François Cordeau and Emma Frejinger
Transportation Research Part B-methodological
(2021-03-01)
www.sciencedirect.com
Towards robust and replicable sex differences in the intrinsic brain function of autism
Dorothea L. Floris, José O. A. Filho, Meng-Chuan Lai, Steve Giavasis, Marianne Oldehinkel, Maarten Mennes, Tony Charman, Julian Tillmann, Guillaume Dumas, Christine Ecker, Flavio Dell’Acqua, Tobias Banaschewski, Carolin Moessnang, Simon Baron-Cohen, Sarah Durston, Eva Loth, Declan G. M. Murphy, Jan K. Buitelaar, Christian F. Beckmann, Michael P. Milham... (1 more)
QBSUM: A large-scale query-based document summarization dataset from real-world applications
Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long and Weidong Guo
Accelerating data filtering for database using FPGA
Xuan Sun, Chun Jason Xue, Jinghuan Yu, Tei-Wei Kuo and Xue Liu
Journal of Systems Architecture
(2021-03-01)
www.sciencedirect.com
Efficient and Effective Dimension Control in Automotive Applications
Ye Ma, Gang Chen, Mingsong Lv, Wang Yi, Xue Liu, Hao Chen and Bo Zhu
IEEE Transactions on Industrial Informatics
(2021-03-01)
uu.diva-portal.org

2021-02

FDG-PET/CT Radiomics Models for The Early Prediction of Locoregional Recurrence in Head and Neck Cancer
Hu Cong, Wang Peng, Zhou Tian, Martin Vallières, Xu Chuanpei, Zhu Aijun and Zhang Benxin
Current Medical Imaging Formerly Current Medical Imaging Reviews
(2021-02-28)
www.eurekaselect.com
Toward Causal Representation Learning
Bernhard Scholkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal and Yoshua Bengio
Proceedings of the IEEE
(2021-02-26)
doi.org
Scale-invariant localization using quasi-semantic object landmarks
Andrew Holliday and Gregory Dudek
Autonomous Robots
(2021-02-25)
link.springer.comPDF
Image Completion via Inference in Deep Generative Models
William Harvey, Saeid Naderiparizi and Frank Wood
arXiv preprint arXiv:2102.12037
(2021-02-24)
ui.adsabs.harvard.eduPDF
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times
Borzou Rostami, Guy Desaulniers, Fausto Errico and Andrea Lodi
Operations Research
(2021-02-24)
dialnet.unirioja.es
Understanding and Mitigating Accuracy Disparity in Regression
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon and Han Zhao
arXiv: Learning
(2021-02-24)
ui.adsabs.harvard.eduPDF
Structural and developmental principles of neuropil assembly in C. elegans
Mark W. Moyle, Kristopher M. Barnes, Manik Kuchroo, Alex Gonopolskiy, Leighton H. Duncan, Titas Sengupta, Lin Shao, Min Guo, Anthony Santella, Ryan Christensen, Abhishek Kumar, Yicong Wu, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy, Zhirong Bao, Hari Shroff, William A. Mohler and Daniel A. Colón-Ramos
From generative models to generative passages: A computational approach to (neuro)phenomenology
Ramstead Mj, Hesp C, Sandved-Smith L, Mago J, Lifshitz M, Pagnoni G, Smith R, Dumas G, Lutz A, Friston K and Constant A
(venue unknown)
(2021-02-23)
europepmc.org
Spinal Cord Morphology in Degenerative Cervical Myelopathy Patients; Assessing Key Morphological Characteristics Using Machine Vision Tools.
Kalum Ost, W Bradley Jacobs, Nathan Evaniew, Julien Cohen-Adad, David Anderson and David W Cadotte
Journal of Clinical Medicine
(2021-02-23)
europepmc.orgPDF
Towards Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal and Yoshua Bengio
arXiv: Learning
(2021-02-22)
ui.adsabs.harvard.eduPDF
Deep ReLU Networks Preserve Expected Length.
Boris Hanin, Ryan Jeong and David Rolnick
arXiv preprint arXiv:2102.10492
(2021-02-21)
ui.adsabs.harvard.eduPDF
Interacting brains revisited: A cross-brain network neuroscience perspective
C. Gerloff, K. Konrad, D. Bzdok, C. Büsing and V. Reindl
bioRxiv
(2021-02-20)
www.biorxiv.orgPDF
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu and Yanzhi Wang
arXiv: Learning
(2021-02-19)
ui.adsabs.harvard.eduPDF
Autobots: Latent Variable Sequential Set Transformers
Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Martin Weiss, Samira Ebrahimi Kahou, Felix Heide and Christopher Pal
arXiv preprint arXiv:2104.00563
(2021-02-19)
ui.adsabs.harvard.eduPDF
Latent Variable Nested Set Transformers & AutoBots.
Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide and Christopher J. Pal
(venue unknown)
(2021-02-19)
dblp.uni-trier.de
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective.
Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender and William L. Hamilton
arXiv preprint arXiv:2102.10062
(2021-02-19)
ui.adsabs.harvard.eduPDF
Benefits of Linear Conditioning with Metadata for Image Segmentation
Andreanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen and Julien Cohen-Adad
arXiv: Computer Vision and Pattern Recognition
(2021-02-18)
ui.adsabs.harvard.eduPDF
SVRG Meets AdaGrad: Painless Variance Reduction.
Benjamin Dubois-Taine, Sharan Vaswani, Reza Babanezhad, Mark Schmidt and Simon Lacoste-Julien
arXiv preprint arXiv:2102.09645
(2021-02-18)
ui.adsabs.harvard.eduPDF
Concurrent prescriptions for opioids and benzodiazepines and risk of opioid overdose: protocol for a retrospective cohort study using linked administrative data.
Erin Y Liu, Robyn Tamblyn, Kristian B Filion and David L Buckeridge
BMJ Open
(2021-02-18)
www.scilit.netPDF
Mining API Usage Scenarios from Stack Overflow
Gias Uddin, Foutse Khomh and Chanchal K Roy
arXiv preprint arXiv:2102.08874
(2021-02-17)
ui.adsabs.harvard.eduPDF
A Strategic Markovian Traffic Equilibrium Model for Capacitated Networks
Maëlle Zimmermann, Emma Frejinger and Patrice Marcotte
Transportation Science
(2021-02-17)
doi.org
Bridging the Gap Between Adversarial Robustness and Optimization Bias
Fartash Faghri, Cristina Vasconcelos, David J. Fleet, Fabian Pedregosa and Nicolas Le Roux
arXiv preprint arXiv:2102.08868
(2021-02-17)
ui.adsabs.harvard.eduPDF
DEUP: Direct Epistemic Uncertainty Prediction
Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov and Yoshua Bengio
arXiv: Learning
(2021-02-16)
ui.adsabs.harvard.eduPDF
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition
Ulysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, Francois Laviolette and Benoit Gosselin
A General Framework for the Derandomization of PAC-Bayesian Bounds
Paul Viallard, Pascal Germain, Amaury Habrard and Emilie Morvant
arXiv preprint arXiv:2102.08649
(2021-02-16)
ui.adsabs.harvard.edu
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.
Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad and Yanzhi Wang
IEEE Transactions on Neural Networks
(2021-02-15)
europepmc.org
The Locomotive Assignment Problem with Distributed Power at the Canadian National Railway Company
Camilo Ortiz-Astorquiza, Jean-François Cordeau and Emma Frejinger
Transportation Science
(2021-02-15)
ideas.repec.org
Domain Adversarial Reinforcement Learning.
Bonnie Li, Vincent François-Lavet, Thang Doan and Joelle Pineau
arXiv preprint arXiv:2102.07097
(2021-02-14)
ui.adsabs.harvard.eduPDF
Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata
Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup and Guillaume Rabusseau
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images.
Mohamed Abderrahmen Abid, Ihsen Hedhli and Christian Gagné
arXiv preprint arXiv:2102.06624
(2021-02-12)
ui.adsabs.harvard.eduPDF
Multimodal data visualization, denoising and clustering with integrated diffusion.
Manik Kuchroo, Abhinav Godavarthi, Guy Wolf and Smita Krishnaswamy
arXiv preprint arXiv:2102.06757
(2021-02-12)
ui.adsabs.harvard.eduPDF
ivadomed: A Medical Imaging Deep Learning Toolbox
Charley Gros, Andreanne Lemay, Olivier Vincent, Lucas Rouhier, Marie-Helene Bourget, Anthime Bucquet, Joseph Paul Cohen and Julien Cohen-Adad
Journal of Open Source Software
(2021-02-12)
joss.theoj.orgPDF
A Machine Learning Approach to Integral Field Unit Spectroscopy Observations: II. HII Region LineRatios
Carter Rhea, Laurie Rousseau-Nepton, Simon Prunet, Myriam Prasow-Emond, Julie Hlavacek-Larrondo, Natalia Vale Asari, Kathryn Grasha and Laurence Perreault-Levasseur
arXiv preprint arXiv:2102.06230
(2021-02-11)
aps.arxiv.orgPDF
Central Bank Digital Currency with Asymmetric Privacy
Katrin Tinn and Christophe Dubach
Social Science Research Network
(2021-02-11)
papers.ssrn.com
Are Multi-Language Design Smells Fault-Prone? An Empirical Study
Mouna Abidi, Saidur Rahman, Moses Openja and Foutse Khomh
ACM Transactions on Software Engineering and Methodology
(2021-02-11)
dl.acm.org[Also on arXiv preprint arXiv:2010.14331 (2020-10-27)]
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark and Tal Arbel
Medical Imaging with Deep Learning
(2021-02-09)
dblp.uni-trier.dePDF
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark and Tal Arbel
Benefits of Linear Conditioning for Segmentation using Metadata
Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen and Julien Cohen-Adad
Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study
Amin Emad and Saurabh Sinha
npj Systems Biology and Applications
(2021-02-08)
www-nature-com-443.webvpn.bjmu.tsg211.com
Design and implementation of a modular interior-point solver for linear optimization
Mathieu Tanneau, Miguel F. Anjos and Andrea Lodi
Mathematical Programming Computation
(2021-02-08)
link.springer.com
Quantifying the effect of experimental perturbations at single-cell resolution.
Daniel B. Burkhardt, Jay S. Stanley, Alexander Tong, Ana Luisa Perdigoto, Scott A. Gigante, Kevan C. Herold, Guy Wolf, Antonio J. Giraldez, David van Dijk and Smita Krishnaswamy
Nature Biotechnology
(2021-02-08)
europepmc.org[Also on bioRxiv (2020-12-02)]
Structured Sparsity Inducing Adaptive Optimizers for Deep Learning
Tristan Deleu and Yoshua Bengio
arXiv preprint arXiv:2102.03869
(2021-02-07)
ui.adsabs.harvard.eduPDF
Analyzing the Contribution of Ethical Charters to Building the Future of Artificial Intelligence Governance
Lyse Langlois and Catherine Régis
Reflections on Artificial Intelligence for Humanity
(2021-02-07)
www.scilit.net
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems.
Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire and Jackie Chi Kit Cheung
Variance Penalized On-Policy and Off-Policy Actor-Critic
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal and Doina Precup
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services.
Léa Ricard, Guy Desaulniers, Andrea Lodi and Louis-Martin Rousseau
arXiv preprint arXiv:2102.02292
(2021-02-03)
ui.adsabs.harvard.eduPDF
Metrics and continuity in reinforcement learning
Charline Le Lan, Marc G. Bellemare and Pablo Samuel Castro
Influence of moisture content on chicken manure stabilization during microbial agent-enhanced composting.
Ming-Xing Li, Xiao-Song He, Jian Tang, Xing Li, Rui Zhao, Yi-Qian Tao, Can Wang and Zhong-Ping Qiu
Chemosphere
(2021-02-01)
europepmc.org
Smart Futures based Resource Trading and Coalition Formation for Real-time Mobile Data Processing
Ruitao Chen, Xianbin Wang and Xue Liu
IEEE Transactions on Services Computing
(2021-02-01)
ieeexplore.ieee.org
Self-Supervised Equivariant Scene Synthesis from Video
Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna and Kyunghyun Cho
arXiv preprint arXiv:2102.00863
(2021-02-01)
ui.adsabs.harvard.eduPDF
Human attachments shape interbrain synchrony toward efficient performance of social goals.
Amir Djalovski, Guillaume Dumas, Sivan Kinreich and Ruth Feldman
NeuroImage
(2021-02-01)
europepmc.org
Task dependent deep LDA pruning of neural networks
Qing Tian, Tal Arbel and James J. Clark
Task Similarity Estimation Through Adversarial Multitask Neural Network
Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Emile Robitaille, Boyu Wang and Christian Gagne
IEEE Transactions on Neural Networks
(2021-02-01)
doi.org
Prediction, Not Association, Paves the Road to Precision Medicine.
Danilo Bzdok, Gael Varoquaux and Ewout W Steyerberg
JAMA Psychiatry
(2021-02-01)
jamanetwork.com
Enabling Secure Trustworthiness Assessment and Privacy Protection in Integrating Data for Trading Person-Specific Information
Rashid Hussain Khokhar, Farkhund Iqbal, Benjamin C. M. Fung and Jamal Bentahar
IEEE Transactions on Engineering Management
(2021-02-01)
doi.org

2021-01

Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems
Justin Dumouchelle, Emma Frejinger and Andrea Lodi
arXiv preprint arXiv:2102.00092
(2021-01-29)
ui.adsabs.harvard.eduPDF
HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data.
Sára Sáray, Christian A. Rössert, Shailesh Appukuttan, Rosanna Migliore, Paola Vitale, Carmen A. Lupascu, Luca L. Bologna, Werner Van Geit, Armando Romani, Andrew P. Davison, Eilif Muller, Tamás F. Freund and Szabolcs Káli
PLOS Computational Biology
(2021-01-29)
europepmc.orgPDF[Also on bioRxiv (2020-10-19)]
Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features
Thompson Jaf., Y Bengio, E Formisano and M Schönwiesner
bioRxiv
(2021-01-28)
www.psy.ox.ac.ukPDF
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm
Christopher Neal, Hanane Dagdougui, Andrea Lodi and Jose M. Fernandez
A systematic analysis of ICSD-3 diagnostic criteria and proposal for further structured iteration.
Christophe Gauld, Régis Lopez, Pierre A. Geoffroy, Charles M. Morin, Kelly Guichard, Élodie Giroux, Yves Dauvilliers, Guillaume Dumas, Pierre Philip and Jean-Arthur Micoulaud-Franchi
Sleep Medicine Reviews
(2021-01-26)
europepmc.org
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire and Sanja Fidler
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova and William Moore
arXiv preprint arXiv:2101.04909
(2021-01-24)
europepmc.orgPDF
Author response: Functional specialization within the inferior parietal lobes across cognitive domains
Ole Numssen, Danilo Bzdok and Gesa Hartwigsen
eLife
(2021-01-21)
dx.doi.org
Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin.
Vladimir Makarenkov, Bogdan Mazoure, Guillaume Rabusseau and Pierre Legendre
Topological analysis of single-cell data reveals shared glial landscape of macular degeneration and neurodegenerative diseases
Manik Kuchroo, Marcello DiStasio, Eda Calapkulu, Maryam Ige, Le Zhang, Amar H. Sheth, Madhvi Menon, Yu Xing, Scott Gigante, Jessie Huang, Rahul M. Dhodapkar, Bastian Rieck, Guy Wolf, Smita Krishnaswamy and Brian P. Hafler
bioRxiv
(2021-01-20)
www.biorxiv.orgPDF
An Exact Algorithmic Framework for a Class of Mixed-Integer Programs with Equilibrium Constraints
Teodora Dan, Andrea Lodi and Patrice Marcotte
Siam Journal on Optimization
(2021-01-19)
epubs.siam.org
Multilevel Approaches for the Critical Node Problem
Andrea Baggio, Margarida Carvalho, Andrea Lodi and Andrea Tramontani
Operations Research
(2021-01-19)
dialnet.unirioja.es
HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis
Anaël Ayrolles, Florence Brun, Phoebe Chen, Amir Djalovski, Yann Beauxis, Richard Delorme, Thomas Bourgeron, Suzanne Dikker and Guillaume Dumas
Social Cognitive and Affective Neuroscience
(2021-01-18)
academic.oup.com
Learning from unexpected events in the neocortical microcircuit
Colleen J. Gillon, Jason E. Pina, Jérôme A. Lecoq, Ruweida Ahmed, Yazan N. Billeh, Shiella Caldejon, Peter Groblewski, Timothy M. Henley, India Kato, Eric Lee, Jennifer Luviano, Kyla Mace, Chelsea Nayan, Thuyanh V. Nguyen, Kat North, Jed Perkins, Sam Seid, Matthew T. Valley, Ali Williford, Yoshua Bengio... (3 more)
bioRxiv
(2021-01-16)
www.biorxiv.orgPDF
Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness
Zeinab Azadeh Kermansaravi, Saidur Rahman, Foutse Khomh, Fehmi Jaafar and Yann-Gaël Guéhéneuc
Empirical Software Engineering
(2021-01-16)
link.springer.com
Inherent privacy limitations of decentralized contact tracing apps.
Yoshua Bengio, Daphne Ippolito, Richard Janda, Max Jarvie, Benjamin Prud'homme, Jean-François Rousseau, Abhinav Sharma and Yun William Yu
Journal of the American Medical Informatics Association
(2021-01-15)
academic.oup.com
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning.
Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad and Yaou Liu
arXiv: Image and Video Processing
(2021-01-14)
arxiv.orgPDF
Spatial correspondence of spinal cord white matter tracts using diffusion tensor imaging, fibre tractography, and atlas-based segmentation
Stewart McLachlin, Jason Leung, Vignesh Sivan, Pierre-Olivier Quirion, Phoenix Wilkie, Julien Cohen-Adad, Cari Marisa Whyne and Michael Raymond Hardisty
Neuroradiology
(2021-01-14)
link.springer.com
Deep learning identifies partially overlapping subnetworks in the human social brain
Hannah Kiesow, R. Nathan Spreng, Avram J. Holmes, M. Mallar Chakravarty, Andre F. Marquand, B. T. Thomas Yeo and Danilo Bzdok
Communications Biology
(2021-01-14)
www-nature-com-443.webvpn.bjmu.tsg211.com
COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova and William Moore
arXiv: Computer Vision and Pattern Recognition
(2021-01-13)
europepmc.org
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu and Mark Coates
AAAI 2021
(2021-01-13)
ojs.aaai.org
Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application.
arXiv preprint arXiv:2101.10249
(2021-01-13)
dblp.uni-trier.dePDF
Systematic detection of brain protein-coding genes under positive selection during primate evolution and their roles in cognition.
Guillaume Dumas, Simon Malesys and Thomas Bourgeron
Knowledge-Enhanced Top-K Recommendation in Poincar\'e Ball.
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu and Mark Coates
arXiv preprint arXiv:2101.04852
(2021-01-13)
ui.adsabs.harvard.eduPDF
Auditory cortex supports verbal working memory capacity.
Gavin M Bidelman, Jane A Brown and Pouya Bashivan
Neuroreport
(2021-01-13)
europepmc.org
Reduced axon caliber in the associative striatum of the Sapap3 knockout mouse
E. Lousada, M. Boudreau, J. Cohen-Adad, B. Nait Oumesmar, E. Burguiere and C. Schreiweis
bioRxiv
(2021-01-12)
www.biorxiv.orgPDF
IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani and Sarath Chandar
CVPR 2021
(2021-01-12)
openaccess.thecvf.comPDF
Fairness over time in dynamic resource allocation with an application in Healthcare
Andrea Lodi, Philippe Olivier, Gilles Pesant and Sriram Sankaranarayanan
arXiv preprint arXiv:2101.03716
(2021-01-11)
ui.adsabs.harvard.eduPDF
Attention Based Pruning for Shift Networks
Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux and Yoshua Bengio
Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf, Jenna Reinen and Irina Rish
International Workshop on Human Brain and Artificial Intelligence
(2021-01-07)
link.springer.com
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick and Hugues Talbot
Recurrent disease progression networks for modelling risk trajectory of heart failure.
Xing Han Lu, Aihua Liu, Shih-Chieh Fuh, Yi Lian, Liming Guo, Yi Yang, Ariane Marelli and Yue Li
PLOS ONE
(2021-01-06)
ui.adsabs.harvard.edu
Pump scheduling in drinking water distribution networks with an LP/NLP-based branch and bound
Gratien Bonvin, Sophie Demassey and Andrea Lodi
Optimization and Engineering
(2021-01-04)
link.springer.comPDF
Learning chordal extensions
Defeng Liu, Andrea Lodi and Mathieu Tanneau
On-the-Fly Attention Modularization for Neural Generation
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung and Yejin Choi
arXiv preprint arXiv:2101.00371
(2021-01-02)
ui.adsabs.harvard.eduPDF
Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.
Mohamed Raed El aoun, Heng Li, Foutse Khomh and Moses Openja
ICSME
(2021-01-01)
dblp.uni-trier.de
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking
Zhiyuan Xu, Dejun Yang, Jian Tang, Yinan Tang, Tongtong Yuan, Yanzhi Wang and Guoliang Xue
IEEE ACM Transactions on Networking
(2021-01-01)
asu.pure.elsevier.com
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning
Yu Wang, Chengzhe Piao, Chi Harold Liu, Chijin Zhou and Jian Tang
IEEE Transactions on Network Science and Engineering
(2021-01-01)
ieeexplore.ieee.org
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning
Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu and Jian Tang
ICCV 2021
(2021-01-01)
openaccess.thecvf.comPDF
An Integrated Cloud-Edge-Device Adaptive Deep Learning Service for Cross-Platform Web
Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu and Jun-Liang Chen
IEEE Transactions on Mobile Computing
(2021-01-01)
xplorestaging.ieee.org
How Feedback Focus and Regulatory Focus Influence Customers' Co-design Behavior in Online Customization Communities.
Xinxue Zhou, Jian Tang and Tianmei Wang
PACIS 2021
(2021-01-01)
aisel.aisnet.org
Bridging the Gap between Semantic Segmentation and Instance Segmentation
Chengxiang Yin, Jian Tang, Tongtong Yuan, Zhiyuan Xu and Yanzhi Wang
IEEE Transactions on Multimedia
(2021-01-01)
xplorestaging.ieee.org
Adaptive Multi-Layer Selective Ensemble Least Square Support Vector Machines with Applications
Gang Yu, Jian Tang, Jian Zhang and Zhonghui Wang
Intelligent Automation and Soft Computing
(2021-01-01)
dx.doi.org
Examining the Effect of Interaction Content and Interaction Style on Volunteers' Research Competence in Citizen Science Projects.
Luyue Zhang, Jian Tang, Xinxue Zhou and Tuotuo Qi
PACIS 2021
(2021-01-01)
aisel.aisnet.org
Discrete-Valued Neural Communication in Structured Architectures Enhances Generalization
Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Mozer and Yoshua Bengio
(venue unknown)
(2021-01-01)
research.google
Single-subject Prediction: A Statistical Paradigm for Precision Psychiatry
Danilo Bzdok and Teresa M. Karrer
(venue unknown)
(2021-01-01)
hal.archives-ouvertes.frPDF
Development of patient-specific 3D models from histopathological samples for applications in radiation therapy
Joseph M. DeCunha, Christopher M. Poole, Martin Vallières, Jose Torres, Sophie Camilleri-Broët, Roni F. Rayes, Jonathan D. Spicer and Shirin A. Enger
Physica Medica
(2021-01-01)
www.sciencedirect.com
Latent Translation Cross-Lingual Transfer
Edoardo Ponti, Ivan Vulic, Julia Kreutzer and Siva Reddy
(venue unknown)
(2021-01-01)
Learning in Local Branching (Invited Talk).
Defeng Liu and Andrea Lodi
CP 2021
(2021-01-01)
doi.org
Mixture-Based Feature Space Learning for Few-Shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
Summary of iMLSE-18: The 1st international workshop on machine learning systems engineering
Fuyuki Ishikawa, Foutse Khomh, Nobukazu Yoshioka and Giuliano Antoniol
2018 International Workshop on Evidence-Based Security and Privacy in the Wild and the 1st International Workshop on Machine Learning Systems Engineering, WESPr-iMLSE 2018
(2021-01-01)
waseda.pure.elsevier.com
SafePath: Exploiting Ubiquitous Smartphones to Avoid Vehicle-Pedestrian Collision
Fei Gu, Jianwei Niu, Landu Jiang, Xue Liu and Gerhard P. Hancke
IEEE Internet of Things Journal
(2021-01-01)
xplorestaging.ieee.org
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling.
Kejing Yin, William K. Cheung, Benjamin C. M. Fung and Jonathan Poon
SDM 2021
(2021-01-01)
dblp.uni-trier.de
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias.
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier and Damien Querlioz
Frontiers in Neuroscience
(2021-01-01)
europepmc.org
Using Artificial Intelligence to Visualize the Impacts of Climate Change
Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio and Theresa-Marie Rhyne
IEEE Computer Graphics and Applications
(2021-01-01)
ieeexplore.ieee.org
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu and Yoshua Bengio
ICCV 2021
(2021-01-01)
openaccess.thecvf.com
Democratising the Digital Revolution: The Role of Data Governance
Sylvie Delacroix, Joelle Pineau and Jessica Montgomery
Reflections on Artificial Intelligence for Humanity
(2021-01-01)
doi.org[Also on Social Science Research Network (2020-06-30)]
On Evaluating Session-Based Recommendation with Implicit Feedback.
RECSYS 2021
(2021-01-01)
PDF
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error
Mohammad Afshari and Aditya Mahajan
IEEE Transactions on Signal Processing
(2021-01-01)
dblp.uni-trier.de
AI and Health Law
Social Science Research Network
(2021-01-01)
papers.ssrn.com
Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study
Osama Ehsan, Lillane Barbour, Foutse Khomh and Ying Zou
Code Clone Analysis
(2021-01-01)
link.springer.com
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation.
Mbarka Soualhia, Foutse Khomh and Sofiène Tahar
Hybrid Harmony: A Multi-Person Neurofeedback Application for Interpersonal Synchrony
Phoebe Chen, Sophie Hendrikse, Kaia Sargent, Michele Romani, Matthias Oostrik, Tom F. Wilderjans, Sander Koole, Guillaume Dumas, David Medine and Suzanne Dikker
Frontiers in Neuroergonomics
(2021-01-01)
www.frontiersin.org
Impact of Aliasing on Generalization in Deep Convolutional Networks
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux and Ross Goroshin
Practical product sampling for single scattering in media
Keven Villeneuve, Adrien Gruson, Iliyan Georgiev and Derek Nowrouzezahrai
EGSR (DL)
(2021-01-01)
diglib.eg.org
A Novel and Dedicated Machine Learning Model for Malware Classification.
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland and Steven H. H. Ding
ICSOFT 2021
(2021-01-01)
dx.doi.org
Processing differences among irregular inflection classes
Maya C Watt, Mika Braginsky and Timothy O’Donnell
Proceedings of the Annual Meeting of the Cognitive Science Society
(2021-01-01)
escholarship.orgPDF
The Learnability of Goal-directedness in Jazz Music
Daniel Harasim, Timothy O’Donnell and Martin Alois Rohrmeier
Proceedings of the Annual Meeting of the Cognitive Science Society
(2021-01-01)
escholarship.orgPDF
Structural Inductive Biases in Emergent Communication
Agnieszka Slowik, Abhinav Gupta, William Hamilton, Mateja Jamnik, Sean Holden and Chris Pal
Proceedings of the Annual Meeting of the Cognitive Science Society
(2021-01-01)
escholarship.orgPDF[Also on arXiv preprint arXiv:2002.01335 (2020-02-04)]
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt and David Balduzzi
Autonomous Agents and Multi-Agent Systems
(2021-01-01)
dl.acm.org[LATEST on arXiv preprint arXiv:2110.04041 (2021-10-08)]
Self-Supervised Attention-Aware Reinforcement Learning.
Haiping Wu, Khimya Khetarpal and Doina Precup
AAAI 2021
(2021-01-01)
dblp.uni-trier.de
TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning?
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon and Joelle Pineau
Autonomous Agents and Multi-Agent Systems
(2021-01-01)
dl.acm.org
Fast And Slow Learning Of Recurrent Independent Mechanisms
Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf and Yoshua Bengio
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas and Michael G. Rabbat
Optimal control of network-coupled subsystems: Spectral decomposition and low-dimensional solutions
Shuang Gao and Aditya Mahajan
IEEE Transactions on Control of Network Systems
(2021-01-01)
xplorestaging.ieee.org[Also on arXiv e-prints (2020-09-25)]
Editorial: Social Interaction in Neuropsychiatry
Victoria Leong, Danilo Bzdok, Frieder M Paulus, Kevin Pelphrey, Elizabeth Redcay and Leonhard Schilbach
Frontiers in Psychiatry
(2021-01-01)
europepmc.org
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?
Research Papers in Economics
(2021-01-01)
ideas.repec.org[LATEST on arXiv: Learning (2021-01-13)]
Generative Compositional Augmentations for Scene Graph Prediction
Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham W. Taylor, Aaron Courville and Eugene Belilovsky
Evaluating the Integration of One Health in Surveillance Systems for Antimicrobial Use and Resistance: A Conceptual Framework.
Cécile Aenishaenslin, Barbara Häsler, André Ravel, E. Jane Parmley, Sarah Mediouni, Houda Bennani, Katharina D. C. Stärk and David L. Buckeridge
Frontiers in Veterinary Science
(2021-01-01)
europepmc.org
Applying PySCMGroup to Breast Cancer Biomarkers Discovery
Mazid Osseni, Prudencio Tossou, Jacques Corbeil and François Laviolette
Hardware-Aware Design for Edge Intelligence
Warren J. Gross, Brett H. Meyer and Arash Ardakani
IEEE Open Journal of Circuits and Systems
(2021-01-01)
ieeexplore.ieee.org
Emergent Communication under Competition.
Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou and Aaron C. Courville
Autonomous Agents and Multi-Agent Systems
(2021-01-01)
dl.acm.org[LATEST on arXiv preprint arXiv:2101.10276 (2021-01-25)]
Personalized Medicine for OSA Syndrome in a Nutshell: Conceptual Clarification for Integration.
Christophe Gauld, Marie Darrason, Guillaume Dumas and Jean-Arthur Micoulaud-Franchi
Chest
(2021-01-01)
journal.chestnet.org
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach.
Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh and Houssem Ben Braiek
arXiv preprint arXiv:2101.00135
(2021-01-01)
ui.adsabs.harvard.eduPDF
Learning Goal Conditioned Socially Compliant Navigation From Demonstration Using Risk-Based Features
Abhisek Konar, Bobak H. Baghi and Gregory Dudek
ICRA 2021
(2021-01-01)
ieeexplore.ieee.org
Les trois cultures de la psychiatrie computationnelle
Christophe Gauld, Guillaume Dumas, Éric Fakra, Jérémie Mattout and Jean Arthur Micoulaud-Franchi
Annales médico-psychologiques
(2021-01-01)
www.em-premium.com
Asynchronous Gradient Push
Mahmoud S. Assran and Michael G. Rabbat
IEEE Transactions on Automatic Control
(2021-01-01)
doi.org
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
F. R. Hogan, M. Jenkin, S. Rezaei-Shoshtari, Y. Girdhar, D. Meger and G. Dudek
Explainability and Interpretability: Keys to Deep Medicine
Arash Shaban-Nejad, Martin Michalowski and David L. Buckeridge
AAAI 2021
(2021-01-01)
experts.umn.edu
The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in Canada-A mathematical modeling study of surveillance data.
Arnaud Godin, Yiqing Xia, David L Buckeridge, Sharmistha Mishra, Dirk Douwes-Schultz, Yannan Shen, Maxime Lavigne, Mélanie Drolet, Alexandra M Schmidt, Marc Brisson and Mathieu Maheu-Giroux
International Journal of Infectious Diseases
(2021-01-01)
europepmc.org
A note on the Lasserre hierarchy for different formulations of the maximum independent set problem
Miguel F. Anjos, Youssouf Emine, Andrea Lodi and Zhao Sun
Operations Research Letters
(2021-01-01)
www.sciencedirect.com
Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function.
Bo-yong Park, Reinder Vos de Wael, Casey Paquola, Sara Larivière, Oualid Benkarim, Jessica Royer, Shahin Tavakol, Raul R. Cruces, Qiongling Li, Sofie L. Valk, Daniel S. Margulies, Bratislav Mišić, Danilo Bzdok, Jonathan Smallwood and Boris C. Bernhardt
NeuroImage
(2021-01-01)
europepmc.org
Incorporating dynamic flight network in SEIR to model mobility between populations
Xiaoye Ding, Shenyang Huang, Abby Leung and Reihaneh Rabbany
Generative lesion pattern decomposition of cognitive impairment after stroke.
Anna K Bonkhoff, Jae-Sung Lim, Hee-Joon Bae, Nick A Weaver, Hugo J Kuijf, J Matthijs Biesbroek, Natalia S Rost and Danilo Bzdok
Profiling Chromatin Landscape at High Resolution and Throughput with 2C-ChIP.
Xue Qing David Wang, Christopher J F Cameron, Dana Segal, Denis Paquette, Mathieu Blanchette and Josée Dostie
Methods of Molecular Biology
(2021-01-01)
europepmc.org
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Issam Laradji, Pau Rodriguez, Oscar Manas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez and Derek Nowrouzezahrai
Tabu search for the time-dependent vehicle routing problem with time windows on a road network
Maha Gmira, Michel Gendreau, Andrea Lodi and Jean-Yves Potvin
European Journal of Operational Research
(2021-01-01)
www.sciencedirect.com
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
Arushi Jain, Khimya Khetarpal and Doina Precup

2020-12

Robust Asymmetric Learning in POMDPs.
Andrew Warrington, J. Wilder Lavington, Adam Ścibior, Mark Schmidt and Frank Wood
arXiv preprint arXiv:2012.15566
(2020-12-31)
ui.adsabs.harvard.eduPDF
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing.
Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung and Yanshuai Cao
(venue unknown)
(2020-12-30)
dblp.uni-trier.de
Optimizing Deeper Transformers on Small Datasets
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J.D. Prince and Yanshuai Cao
arXiv: Computation and Language
(2020-12-30)
arxiv.orgPDF
Detecting High-Engaging Breaking News Rumors in Social Media
Sarah A. Alkhodair, Benjamin C. M. Fung, Steven H. H. Ding, William K. Cheung and Shih-Chia Huang
MIS 2020
(2020-12-30)
dl.acm.org
Supervised learning on phylogenetically distributed data.
Elliot Layne, Erika N Dort, Richard Hamelin, Yue Li and Mathieu Blanchette
Bioinformatics
(2020-12-30)
academic.oup.com
Spin-layer locking induced second-order nonlinear effect in centrosymmetric crystals
Yanchong Zhao, Luojun Du, Jing Liang, Mohammad Bahramy, Mingwei Yang, Yao Guang, Zheng Wei, Mengzhou Liao, Jian Tang, Jiaojiao Zhao, Cheng Shen, Xiaomei Li, Qinqin Wang, Rong Yang, Dongxia Shi, Kaihui Liu, Zhipei Sun and Guangyu Zhang
(venue unknown)
(2020-12-29)
www.researchsquare.comPDF
Taxonomy of multimodal self-supervised representation learning.
Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun and Sergey M. Plis
arXiv e-prints
(2020-12-25)
ui.adsabs.harvard.eduPDF
On self-supervised multi-modal representation learning: An application to Alzheimer's disease
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis and Vince D. Calhoun
arXiv preprint arXiv:2012.13619
(2020-12-25)
ui.adsabs.harvard.eduPDF
Towards Continual Reinforcement Learning: A Review and Perspectives.
Khimya Khetarpal, Matthew Riemer, Irina Rish and Doina Precup
arXiv preprint arXiv:2012.13490
(2020-12-25)
ui.adsabs.harvard.eduPDF
Identification of COVID-19-relevant transcriptional regulatory networks and associated kinases as potential therapeutic targets
Chen Su, Simon Rousseau and Amin Emad
bioRxiv
(2020-12-23)
search.bvsalud.orgPDF
Cross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals
Maxime Deraspe, Charles Burdet, Juan Manuel Dominguez, François Laviolette, Paul H Roy and Jacques Corbeil
(venue unknown)
(2020-12-21)
www.researchsquare.comPDF
Functional idiosyncrasy has a shared topography with group-level connectivity alterations in autism
Oualid Benkarim, Casey Paquola, Bo-yong Park, Seok-Jun Hong, Jessica Royer, Reinder Vos de Wael, Sara Lariviere, Sofie Valk, Danilo Bzdok, Laurent Mottron and Boris Bernhardt
bioRxiv
(2020-12-18)
www.biorxiv.orgPDF
Non-autoregressive electron flow generation for reaction prediction.
Hangrui Bi, Hengyi Wang, Chence Shi and Jian Tang
arXiv preprint arXiv:2012.12124
(2020-12-16)
ui.adsabs.harvard.eduPDF
Multi-player games in the era of machine learning
(venue unknown)
(2020-12-16)
papyrus.bib.umontreal.ca
Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites
Faizy Ahsan, Alexandre Drouin, Francois Laviolette, Doina Precup and Mathieu Blanchette
BIBM 2020
(2020-12-16)
dblp.uni-trier.de
Look-ahead Meta Learning for Continual Learning
Gunshi Gupta, Karmesh Yadav and Liam Paull
NEURIPS 2020
(2020-12-16)
papers.nips.ccPDF
The default network of the human brain is associated with perceived social isolation
R. Nathan Spreng, Emile Dimas, Laetitia Mwilambwe-Tshilobo, Alain Dagher, Philipp Koellinger, Gideon Nave, Anthony Ong, Julius M. Kernbach, Thomas V. Wiecki, Tian Ge, Yue Li, Avram J. Holmes, B. T. Thomas Yeo, Gary R. Turner, Robin I. M. Dunbar and Danilo Bzdok
Nature Communications
(2020-12-15)
www.nature.com
ReCARL: Resource Allocation in Cloud RANs with Deep Reinforcement Learning
Zhiyuan Xu, Jian Tang, Chengxiang Yin, Yanzhi Wang, Guoliang Xue, Jing Wang and Mustafa Cenk Gursoy
IEEE Transactions on Mobile Computing
(2020-12-14)
asu.pure.elsevier.com
Annealed Importance Sampling with q-Paths.
Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg and Frank Nielsen
arXiv preprint arXiv:2012.07823
(2020-12-14)
ui.adsabs.harvard.eduPDF
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Julien M. Hendrickx and Michael G. Rabbat
A Study of Condition Numbers for First-Order Optimization. (arXiv:2012.05782v1 [cs.LG])
Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti and Ioannis Mitliagkas
arXiv Computer Science
(2020-12-11)
Directional Graph Networks. (arXiv:2010.02863v2 [cs.LG] UPDATED)
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso and Pietro Liò
arXiv Computer Science
(2020-12-11)
Spatiotemporal Features Improve Fine-Grained Butterfly Image Classification
Marta Skreta, Sasha Luccioni and David Rolnick
NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning
(2020-12-11)
www.climatechange.aiPDF
CFM: A Consistency Filtering Mechanism for Road Damage Detection
Zixiang Pei, Rongheng Lin, Xiubao Zhang, Haifeng Shen, Jian Tang and Yi Yang
BIG DATA 2020
(2020-12-10)
dblp.uni-trier.de
Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf and Smita Krishnaswamy
BIG DATA 2020
(2020-12-10)
doi.orgPDF
DUGRA: Dual-Graph Representation Learning for Health Information Networks
Qifan Wang, Benjamin C. M. Fung and Patrick C. K. Hung
BIG DATA 2020
(2020-12-10)
dblp.uni-trier.de
Extendable and invertible manifold learning with geometry regularized autoencoders
Andres F. Duque, Sacha Morin, Guy Wolf and Kevin Moon
BIG DATA 2020
(2020-12-10)
doi.orgPDF
Ensemble Squared: A Meta AutoML System.
Jason Yoo, Tony Joseph, Dylan Yung, S. Ali Nasseri and Frank Wood
arXiv preprint arXiv:2012.05390
(2020-12-10)
ui.adsabs.harvard.eduPDF
Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation
Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban and Andrea Lodi
arXiv preprint arXiv:2012.05783
(2020-12-10)
ui.adsabs.harvard.eduPDF
Histone H3.3G34-Mutant Interneuron Progenitors Co-opt PDGFRA for Gliomagenesis
Carol C.L. Chen, Shriya Deshmukh, Selin Jessa, Djihad Hadjadj, Véronique Lisi, Augusto Faria Andrade, Damien Faury, Wajih Jawhar, Rola Dali, Hiromichi Suzuki, Manav Pathania, Deli A, Frank Dubois, Eleanor Woodward, Steven Hébert, Marie Coutelier, Jason Karamchandani, Steffen Albrecht, Sebastian Brandner, Nicolas De Jay... (44 more)
Cell
(2020-12-10)
www.ncbi.nlm.nih.gov
Decoding the neural dynamics of free choice in humans.
Thomas Thiery, Anne-Lise Saive, Etienne Combrisson, Arthur Dehgan, Julien Bastin, Philippe Kahane, Alain Berthoz, Jean-Philippe Lachaux and Karim Jerbi
Domain adaptation with conditional distribution matching and generalized label shift
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang and Geoffrey J. Gordon
NEURIPS 2020
(2020-12-10)
papers.nips.ccPDF
Extendable and invertible manifold learning with geometry regularized autoencoders
Andres F. Duque, Sacha Morin, Guy Wolf and Kevin Moon
BIG DATA 2020
(2020-12-10)
ui.adsabs.harvard.eduPDF
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein and Jake P. Taylor-King
arXiv preprint arXiv:2012.05716
(2020-12-09)
ui.adsabs.harvard.eduPDF
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin and Yoshua Bengio
Towards Generalized Implementation of Wasserstein Distance in GANs
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang and Yong Yu
arXiv preprint arXiv:2012.03420
(2020-12-07)
ui.adsabs.harvard.eduPDF
Sobolev Wasserstein GAN.
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang and Yong Yu
arXiv: Learning
(2020-12-07)
dblp.uni-trier.de
Team Optimal Control of Coupled Major-Minor Subsystems with Mean-Field Sharing
Jalal Arabneydi and Aditya Mahajan
arXiv: Optimization and Control
(2020-12-04)
arxiv.orgPDF
Modeling assembly bias with machine learning and symbolic regression
Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho and Laurence Perreault-Levasseur
arXiv preprint arXiv:2012.00111
(2020-12-04)
inspirehep.netPDF
Historical and cross-disciplinary trends in the biological and social sciences reveal an accelerating adoption of advanced analytics
Taylor Bolt, Jason S. Nomi, Danilo Bzdok and Lucina Q. Uddin
bioRxiv
(2020-12-03)
www.biorxiv.orgPDF
Intervention Design for Effective Sim2Real Transfer.
Melissa Mozifian, Amy Zhang, Joelle Pineau and David Meger
arXiv preprint arXiv:2012.02055
(2020-12-03)
ui.adsabs.harvard.eduPDF
Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing.
Jalal Arabneydi and Aditya Mahajan
arXiv preprint arXiv:2012.02051
(2020-12-02)
ui.adsabs.harvard.eduPDF
Team-Optimal Solution of Finite Number of Mean-Field Coupled LQG Subsystems.
Jalal Arabneydi and Aditya Mahajan
arXiv preprint arXiv:2012.02052
(2020-12-02)
ui.adsabs.harvard.eduPDF
Team Optimal Control of Coupled Subsystems with Mean-Field Sharing
Jalal Arabneydi and Aditya Mahajan
arXiv: Optimization and Control
(2020-12-02)
ui.adsabs.harvard.eduPDF
Autonomous navigation of stratospheric balloons using reinforcement learning.
Marc G. Bellemare, Salvatore Candido, Pablo Samuel Castro, Jun Gong, Marlos C. Machado, Subhodeep Moitra, Sameera S. Ponda and Ziyu Wang
Vertical Integration of 2D Building Blocks for All-2D Electronics
Jian Tang, Qinqin Wang, Zheng Wei, Cheng Shen, Xiaobo Lu, Shuopei Wang, Yanchong Zhao, Jieying Liu, Na Li, Yanbang Chu, Jinpeng Tian, Fanfan Wu, Wei Yang, Congli He, Rong Yang, Dongxia Shi, Kenji Watanabe, Takashi Taniguchi and Guangyu Zhang
Advanced electronic materials
(2020-12-01)
samurai.nims.go.jpPDF
2D Transistors: Vertical Integration of 2D Building Blocks for All‐2D Electronics (Adv. Electron. Mater. 12/2020)
Jian Tang, Qinqin Wang, Zheng Wei, Cheng Shen, Xiaobo Lu, Shuopei Wang, Yanchong Zhao, Jieying Liu, Na Li, Yanbang Chu, Jinpeng Tian, Fanfan Wu, Wei Yang, Congli He, Rong Yang, Dongxia Shi, Kenji Watanabe, Takashi Taniguchi and Guangyu Zhang
Advanced electronic materials
(2020-12-01)
onlinelibrary.wiley.com
Quantitative Equational Reasoning
Giorgio Bacci, Radu Mardare, Prakash Panangaden and Gordon D. Plotkin
(venue unknown)
(2020-12-01)
eksperter.aau.dk
Tabular: Probabilistic Inference from the Spreadsheet
Andrew D. Gordon, Claudio Russo, Marcin Szymczak, Johannes Borgström, Nicolas Rolland, Thore Graepel and Daniel Tarlow
(venue unknown)
(2020-12-01)
www.cambridge.org
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
Abhilasha Ravichander, Eduard H. Hovy, Kaheer Suleman, Adam Trischler and Jackie Chi Kit Cheung
JCLCS 2020
(2020-12-01)
aclanthology.org
Médecine du sommeil personnalisée et syndrome d’apnées hypopnées obstructives du sommeil : entre précision et stratification, une proposition de clarification
C. Gauld, G. Dumas, M. Darrason, N. Salles, P. Desvergnes, P. Philip and J.-A. Micoulaud-Franchi
Neurophysiologie Clinique-clinical Neurophysiology
(2020-12-01)
www.sciencedirect.com
An Analysis of Dataset Overlap on Winograd-Style Tasks
Ali Emami, Kaheer Suleman, Adam Trischler and Jackie Chi Kit Cheung
COLING 2020
(2020-12-01)
aclanthology.orgPDF
What matters and what is possible in neuroimaging meta-analyses (of psychopathy).
Timm B Poeppl, Andreas Mokros, Danilo Bzdok and Simon B Eickhoff
Molecular Psychiatry
(2020-12-01)
www.nature.com
Decoding Polar Codes with Reinforcement Learning
Nghia Doan, Seyyed Ali Hashemi and Warren J. Gross
Fast reinforcement learning with generalized policy updates
André Barreto, Shaobo Hou, Diana Borsa, David Silver and Doina Precup
Proceedings of the National Academy of Sciences of the United States of America
(2020-12-01)
europepmc.orgPDF
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
Yassine Yaakoubi, François Soumis and Simon Lacoste-Julien
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick and Michael P. Recht
Learning to handle parameter perturbations in Combinatorial Optimization: An application to facility location
Andrea Lodi, Luca Mossina and Emmanuel Rachelson
EURO Journal on Transportation and Logistics
(2020-12-01)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1907.05765 (2019-07-12)]
Travel speed prediction based on learning methods for home delivery
Maha Gmira, Michel Gendreau, Andrea Lodi and Jean-Yves Potvin
EURO Journal on Transportation and Logistics
(2020-12-01)
www.sciencedirect.com
Data-driven optimization model customization
Mike Hewitt and Emma Frejinger
European Journal of Operational Research
(2020-12-01)
www.sciencedirect.com
Establishing an evaluation metric to quantify climate change image realism
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S Bernstein and Yoshua Bengio
Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems
(2020-12-01)
digitalintelligentsiaconsultancyservices.com[Also on Machine Learning: Science and Technology (2020-04-09)][Also on arXiv preprint arXiv:1910.10143 (2019-10-22)]

2020-11

Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal and Yoshua Bengio
arXiv preprint arXiv:2011.15091
(2020-11-30)
ui.adsabs.harvard.eduPDF
Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning.
Justine Boulent, Pierre-Luc St-Charles, Samuel Foucher and Jérome Théau
Frontiers in Artificial Intelligence
(2020-11-30)
europepmc.org
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks.
Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain, Susan Amin and Samira Ebrahimi Kahou
arXiv preprint arXiv:2011.14371
(2020-11-29)
ui.adsabs.harvard.eduPDF
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon, Jason Jo, Andrea Lodi and Yoshua Bengio
OPTIMIZING SPARSE GRAPH NEURAL NETWORKS FOR DENSE HARDWARE
Tarlow Daniel S, Balog Matej, Van Merrienboer Bart, Li Yujia and Moitra Subhodeep
(venue unknown)
(2020-11-26)
lens.org
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design.
Cheng-Hao Liu, Maksym Korablyov, Stanislaw Jastrzebski, Pawel Wlodarczyk-Pruszynski, Yoshua Bengio and Marwin H. S. Segler
arXiv preprint arXiv:2011.13042
(2020-11-25)
ui.adsabs.harvard.eduPDF
Persistent Mixture Model Networks for Few-Shot Image Classification.
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
arXiv: Computer Vision and Pattern Recognition
(2020-11-24)
ui.adsabs.harvard.eduPDF
Bijective-Contrastive Estimation
Jae Hyun Lim, Chin-Wei Huang, Aaron Courville and Christopher Pal
Third Symposium on Advances in Approximate Bayesian Inference
(2020-11-23)
openreview.netPDF
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Manik Kuchroo, Jessie Huang, Patrick Wong, Jean-Christophe Grenier, Dennis Shung, Alexander Tong, Carolina Lucas, Jon Klein, Daniel Burkhardt, Scott Gigante, Abhinav Godavarthi, Benjamin Goldman-Israelow, Tianyang Mao, Ji Eun Oh, Julio Silva, Takehiro Takahashi, Camila Odio, Arnau Casanovas-Massana, John Fournier, Yale Impact Team... (8 more)
Social Science Research Network
(2020-11-23)
papers.ssrn.com
Geometry-Aware Universal Mirror-Prox.
Reza Babanezhad and Simon Lacoste-Julien
arXiv preprint arXiv:2011.11203
(2020-11-23)
ui.adsabs.harvard.eduPDF
On the Convergence of Continuous Constrained Optimization for Structure Learning.
Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke and Simon Lacoste-Julien
arXiv preprint arXiv:2011.11150
(2020-11-23)
ui.adsabs.harvard.eduPDF
SYSTEM AND METHOD FOR CONTROLLABLE MACHINE TEXT GENERATION ARCHITECTURE
Xu Peng, Cao Yanshuai and Cheung Jackie C K
(venue unknown)
(2020-11-22)
lens.org
SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH VARIATIONAL AUTOENCODER POOLING
Long Teng, Cao Yanshuai and Cheung Jackie C K
(venue unknown)
(2020-11-21)
lens.org
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan and Adam M. Oberman
ICML 2020
(2020-11-21)
proceedings.mlr.pressPDF
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg and Aram Galstyan
An Effective Anti-Aliasing Approach for Residual Networks.
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux and Ross Goroshin
arXiv preprint arXiv:2011.10675
(2020-11-20)
ui.adsabs.harvard.eduPDF
Bisimulation metrics and norms for real-weighted automata
Borja Balle, Pascale Gourdeau and Prakash Panangaden
Information & Computation
(2020-11-18)
www.sciencedirect.com
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup and Guillaume Lajoie
arXiv preprint arXiv:2011.09468
(2020-11-18)
ui.adsabs.harvard.eduPDF
DelayRepay: delayed execution for kernel fusion in Python
John Magnus Morton, Kuba Kaszyk, Lu Li, Jiawen Sun, Christophe Dubach, Michel Steuwer, Murray Cole and Michael F. P. O'Boyle
DLS 2020
(2020-11-17)
dl.acm.org
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Manik Kuchroo, Jessie Huang, Patrick Wong, Jean-Christophe Grenier, Dennis Shung, Alexander Tong, Carolina Lucas, Jon Klein, Daniel Burkhardt, Scott Gigante, Abhinav Godavarthi, Benjamin Israelow, Tianyang Mao, Ji Eun Oh, Julio Silva, Takehiro Takahashi, Camila D. Odio, Arnau Casanovas-Massana, John Fournier, Yale Impact Team... (8 more)
bioRxiv
(2020-11-17)
europepmc.orgPDF
Twist-angle-dependent photoresponse in MoS2-graphene van der Waals heterostructures probed by ultrafast electron diffraction
Duan Luo, Jian Tang, Xiaozhe Shen, Fuhao Ji, Jie Yang, Stephen Weathersby, Michael E. Kozina, Zhijiang Chen, Ting Cao, Guangyu Zhang, Xijie Wang and Aaron M. Lindenberg
The 22nd International Conference on Ultrafast Phenomena 2020 (2020), paper Tu1A.3
(2020-11-16)
www.osapublishing.org
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
Kejing Yin, William K. Cheung, Benjamin C. M. Fung and Jonathan Poon
IEEE Transactions on Knowledge and Data Engineering
(2020-11-16)
ieeexplore.ieee.org[Also on arXiv preprint arXiv:2011.06301 (2020-11-12)]
Universal Dependencies 2.7
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Hamid Aghaei, Željko Agić, Amir Ahmadi, Lars Ahrenberg, Chika Kennedy Ajede, Gabrielė Aleksandravičiūtė, Ika Alfina, Lene Antonsen, Katya Aplonova, Angelina Aquino, Carolina Aragon, Maria Jesus Aranzabe, Þórunn Arnardóttir, Gashaw Arutie, Jessica Naraiswari Arwidarasti... (395 more)
(venue unknown)
(2020-11-15)
lindat.cz
Approximate minimization of weighted tree automata
Borja Balle and Guillaume Rabusseau
Information & Computation
(2020-11-13)
www.sciencedirect.com
Using Open Source Licensing to Regulate the Assembly of LAWS: A Preliminary Analysis
Cheng Lin and AJung Moon
ISTAS 2020
(2020-11-12)
ieeexplore.ieee.org
Learned Equivariant Rendering without Transformation Supervision.
Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna and Kyunghyun Cho
arXiv preprint arXiv:2011.05787
(2020-11-11)
ui.adsabs.harvard.eduPDF
Differentiation independent neuroprotective role of Vcan+ oligodendrocyte precursor cells in poststroke cognitive impairment recovery
Shen S, Wang Y, Xia R, Zeng F, Cao J, Liu X, Zhang Y, Wang Z and Tao T
bioRxiv
(2020-11-10)
europepmc.orgPDF
Thompson sampling for linear quadratic mean-field teams.
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar and Yi Ouyang
arXiv e-prints
(2020-11-09)
ui.adsabs.harvard.eduPDF
An Analysis of Dataset Overlap on Winograd-Style Tasks.
Ali Emami, Adam Trischler, Kaheer Suleman and Jackie Chi Kit Cheung
arXiv preprint arXiv:2011.04767
(2020-11-09)
ui.adsabs.harvard.eduPDF
Affinity LCFCN: Learning to Segment Fish with Weak Supervision.
Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi and David Vázquez
arXiv preprint arXiv:2011.03149
(2020-11-06)
dblp.uni-trier.dePDF
NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding
Wang K, Stevens R, Alachram H, Li Y, Soldatova L, King R, Ananiadou S, Li M, Christopoulou F, Ambite Jl, Garg S, Hermjakob U, Marcu D, Sheng E, Beißbarth T, Wingender E, Galstyan A, Gao X, Chambers B, Khomtchouk Bb... (2 more)
bioRxiv
(2020-11-06)
europepmc.org
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang and Qi Qi
arXiv: Computer Vision and Pattern Recognition
(2020-11-05)
ui.adsabs.harvard.eduPDF
Fast Object Detection with Latticed Multi-Scale Feature Fusion.
Yue Shi, Bo Jiang, Zhengping Che and Jian Tang
arXiv preprint arXiv:2011.02780
(2020-11-05)
ui.adsabs.harvard.eduPDF
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia and Carole-Jean Wu
arXiv preprint arXiv:2011.02999
(2020-11-05)
ui.adsabs.harvard.eduPDF
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
Jingyi He, K. C. Tsiolis, Kian Kenyon-Dean and Jackie Chi Kit Cheung
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search.
Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang and Jian Tang
arXiv preprint arXiv:2011.02166
(2020-11-04)
ui.adsabs.harvard.eduPDF
Differential neural circuitry behind autism subtypes with imbalanced social-communicative and restricted repetitive behavior symptoms
Natasha Bertelsen, Isotta Landi, Richard A. I. Bethlehem, Jakob Seidlitz, Elena Maria Busuoli, Veronica Mandelli, Eleonora Satta, Stavros Trakoshis, Bonnie Auyeung, Prantik Kundu, Eva Loth, Guillaume Dumas, Sarah Baumeister, Christian F. Beckmann, Sven Bölte, Thomas Bourgeron, Tony Charman, Sarah Durston, Christine Ecker, Rosemary J. Holt... (15 more)
bioRxiv
(2020-11-04)
www.biorxiv.orgPDF
Effectiveness of quarantine and testing to prevent COVID-19 transmission from arriving travelers
W. Alton Russell and David L Buckeridge
medRxiv
(2020-11-04)
europepmc.orgPDF
Diversity-Enriched Option-Critic.
Anand Kamat and Doina Precup
arXiv preprint arXiv:2011.02565
(2020-11-04)
ui.adsabs.harvard.eduPDF
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis
Andi Dai and David Meger
SIGSPATIAL 2020
(2020-11-03)
dblp.uni-trier.de
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model.
Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand and Maxime Thibault
arXiv preprint arXiv:2011.01925
(2020-11-03)
ui.adsabs.harvard.eduPDF
A Study of Policy Gradient on a Class of Exactly Solvable Models.
Gavin McCracken, Colin Daniels, Rosie Zhao, Anna Brandenberger, Prakash Panangaden and Doina Precup
arXiv preprint arXiv:2011.01859
(2020-11-03)
ui.adsabs.harvard.eduPDF
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents.
Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho and Reihaneh Rabbany
EMNLP 2020
(2020-11-01)
www.aclweb.org
PO-1531: Publishing linked and FAIR radiomics data in radiation oncology via ontologies and Semantic Web
A. Traverso, M. Vallieres, J. Van Soest, L. Wee, O. Morin and A. Dekker
Radiotherapy and Oncology
(2020-11-01)
api.elsevier.com
Out-of-Sample Representation Learning for Knowledge Graphs.
Marjan Albooyeh, Rishab Goel and Seyed Mehran Kazemi
EMNLP 2020
(2020-11-01)
aclanthology.org
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge.
Jahangir Alam, Gilles Boulianne, Lukás Burget, Mohamed Dahmane, Mireia Díez Sánchez, Alicia Lozano-Diez, Ondrej Glembek, Pierre-Luc St-Charles, Marc Lalonde, Pavel Matejka, Petr Mizera, Joao Monteiro, Ladislav Mosner, Cedric Noiseux, Ondrej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavícek, Themos Stafylakis... (2 more)
The Speaker and Language Recognition Workshop (Odyssey 2020)
(2020-11-01)
dblp.uni-trier.de
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Zhi Wen, Xing Han Lu and Siva Reddy
Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage
Jana Kurrek, Haji Mohammad Saleem and Derek Ruths
Proceedings of the Fourth Workshop on Online Abuse and Harms
(2020-11-01)
doi.org
Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
Makesh Narsimhan Sreedhar, Kun Ni and Siva Reddy
Distilling Structured Knowledge for Text-Based Relational Reasoning
Jin Dong, Marc-Antoine Rondeau and William L. Hamilton
EMNLP 2020
(2020-11-01)
aclanthology.org
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization
Clément Jumel, Annie Louis and Jackie Chi Kit Cheung
EMNLP 2020
(2020-11-01)
aclanthology.org
Deconstructing word embedding algorithms
Kian Kenyon-Dean, Edward Newell and Jackie Chi Kit Cheung
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Jonathan Pilault, Raymond Li, Sandeep Subramanian and Chris Pal
EMNLP 2020
(2020-11-01)
aclanthology.org
Recursive Top-Down Production for Sentence Generation with Latent Trees
Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville and Timothy J. O'Donnell
EMNLP 2020
(2020-11-01)
aclanthology.org
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu, Yue Dong and Laurent Charlin
An Empirical Investigation of Beam-Aware Training in Supertagging.
Renato Negrinho, Matthew R. Gormley and Geoffrey J. Gordon
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung and William L. Hamilton
Factual Error Correction for Abstractive Summarization Models.
Meng Cao, Yue Dong, Jiapeng Wu and Jackie Chi Kit Cheung
Supervised Seeded Iterated Learning for Interactive Language Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron C. Courville
Structure Aware Negative Sampling in Knowledge Graphs
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton and Avishek Joey Bose
RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.
Ximeng Mao, Joelle Pineau, Roy Keyes and Shirin A. Enger
International Journal of Radiation Oncology Biology Physics
(2020-11-01)
www.sciencedirect.com
Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc and Pascal Vincent
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai and Aaron C. Courville

2020-10

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge... (9 more)
arXiv preprint arXiv:2010.16004
(2020-10-30)
ui.adsabs.harvard.eduPDF
MICRA-Net: MICRoscopy Analysis Neural Network to solve detection, classification, and segmentation from a single simple auxiliary task
Flavie Lavoie-Cardinal, Anthony Bilodeau, Constantin Delmas, Martin Parent, Paul De Koninck and Audrey Durand
bioRxiv
(2020-10-29)
www.researchsquare.comPDF
Neuroimaging: into the Multiverse
Jessica Dafflon, Pedro F. Da Costa, František Váša, Ricardo Pio Monti, Danilo Bzdok, Peter J. Hellyer, Federico Turkheimer, Jonathan Smallwood, Emily Jones and Robert Leech
bioRxiv
(2020-10-29)
www.biorxiv.org
deep21: a Deep Learning Method for 21cm Foreground Removal
T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault-Levasseur and David N. Spergel
arXiv preprint arXiv:2010.15843
(2020-10-29)
ui.adsabs.harvard.eduPDF
$\texttt{deep21}$: a Deep Learning Method for 21cm Foreground Removal
T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault-Levasseur and David N. Spergel
(venue unknown)
(2020-10-29)
arxiv.orgPDF
Tensorpac : an open-source Python toolbox for tensor-based Phase-Amplitude Coupling measurement in electrophysiological brain signals
Etienne Combrisson, Timothy Nest, Andrea Brovelli, Robin A. A. Ince, Juan L. P. Soto, Aymeric Guillot and Karim Jerbi
PLOS Computational Biology
(2020-10-29)
europepmc.orgPDF[Also on bioRxiv (2020-04-18)]
NutriQuébec: a unique web-based prospective cohort study to monitor the population's eating and other lifestyle behaviours in the province of Québec.
Annie Lapointe, Catherine Laramée, Ariane Belanger-Gravel, David L Buckeridge, Sophie Desroches, Didier Garriguet, Lise Gauvin, Simone Lemieux, Céline Plante and Benoit Lamarche
BMJ Open
(2020-10-28)
europepmc.orgPDF
Are Multi-language Design Smells Prevalent? An Empirical Study.
Mouna Abidi, Md. Saidur Rahman, Moses Openja and Foutse Khomh
(venue unknown)
(2020-10-27)
dblp.uni-trier.dePDF
Optimization for Data-Driven Learning and Control
Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat and Ali H. Sayed
Proceedings of the IEEE
(2020-10-27)
asu.pure.elsevier.com
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach
Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau and Yoshua Bengio
Journal of Artificial Intelligence Research
(2020-10-27)
dblp.uni-trier.dePDF[Also on arXiv preprint arXiv:1807.04723 (2018-07-12)]
LEAD: Least-Action Dynamics for Min-Max Optimization
Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie and Ioannis Mitliagkas
arXiv preprint arXiv:2010.13846
(2020-10-26)
onikle.comPDF
PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments
Yi Tian Xu, Xi Chen, Xue Liu, David Meger and Gregory Dudek
IROS 2020
(2020-10-24)
dblp.uni-trier.de
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
IROS 2020
(2020-10-24)
dblp.uni-trier.dePDF
DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
Bharat Joshi, Modasshir, Travis Manderson, Hunter Damron, Marios Xanthidis, Alberto Quattrini Li, Ioannis Rekleitis and Gregory Dudek
Implicit Variational Inference: the Parameter and the Predictor Space.
Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais and François Laviolette
arXiv preprint arXiv:2010.12995
(2020-10-24)
ui.adsabs.harvard.eduPDF
Efficient Learning in Non-Stationary Linear Markov Decision Processes.
Ahmed Touati and Pascal Vincent
arXiv preprint arXiv:2010.12870
(2020-10-24)
ui.adsabs.harvard.eduPDF
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull and Andrea Censi
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf
One-Shot Informed Robotic Visual Search in the Wild
Karim Koreitem, Florian Shkurti, Travis Manderson, Wei-Di Chang, Juan Camilo Gamboa Higuera and Gregory Dudek
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf... (3 more)
arXiv preprint arXiv:2010.12536
(2020-10-23)
ui.adsabs.harvard.eduPDF
Beyond brain age: Empirically-derived proxy measures of mental health
Kamalaker Dadi, Gael Varoquaux, Josselin Houenou, Danilo Bzdok, Bertrand Thirion and Denis Engemann
bioRxiv
(2020-10-23)
hal.inria.frPDF
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio
Communications of The ACM
(2020-10-22)
dl.acm.orgPDF
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations.
Tristan Sylvain, Linda Petrini and R. Devon Hjelm
arXiv preprint arXiv:2010.13320
(2020-10-22)
ui.adsabs.harvard.eduPDF
Stronger Transformers for Neural Multi-Hop Question Generation
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan and William L. Hamilton
arXiv: Computation and Language
(2020-10-22)
ui.adsabs.harvard.eduPDF
NU-GAN: High resolution neural upsampling with GAN.
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio and Aaron C. Courville
arXiv preprint arXiv:2010.11362
(2020-10-22)
ui.adsabs.harvard.eduPDF
A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias
Zehui Yu, Xiehe Huang, Xiubao Zhang, Haifeng Shen, Qun Li, Weihong Deng, Jian Tang, Yi Yang and Jieping Ye
ICMI 2020
(2020-10-21)
dl.acm.orgPDF
Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition
Mo Sun, Jian Li, Hui Feng, Wei Gou, Haifeng Shen, Jian Tang, Yi Yang and Jieping Ye
ICMI 2020
(2020-10-21)
dl.acm.org
Explicitly Modeling Syntax in Language Model improves Generalization.
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy and Aaron C. Courville
arXiv preprint arXiv:2011.07960
(2020-10-21)
ui.adsabs.harvard.eduPDF
Learning to Summarize Long Texts with Memory Compression and Transfer.
Jaehong Park, Jonathan Pilault and Christopher Joseph Pal
arXiv preprint arXiv:2010.11322
(2020-10-21)
ui.adsabs.harvard.eduPDF
Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG
Ana Sofía Hincapié Casas, Tarek Lajnef, Hélène Guiraud, Hannu Laaksonen, Dimitri Bayle, Karim Jerbi and Véronique Boulenger
bioRxiv
(2020-10-20)
www.biorxiv.orgPDF
Learning General Transformations of Data for Out-of-Sample Extensions
Matthew Amodio, David van Dijk, Guy Wolf and Smita Krishnaswamy
MLSP 2020
(2020-10-20)
www.ncbi.nlm.nih.gov
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning.
Rik Mulder, Valentin Radu and Christophe Dubach
arXiv preprint arXiv:2010.10621
(2020-10-20)
ui.adsabs.harvard.eduPDF
Cross-Modal Information Maximization for Medical Imaging: CMIM.
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm and Yoshua Bengio
arXiv preprint arXiv:2010.10593
(2020-10-20)
ui.adsabs.harvard.eduPDF
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.
Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau and Byron Boots
arXiv preprint arXiv:2010.10653
(2020-10-20)
ui.adsabs.harvard.eduPDF
Mutations associated with neuropsychiatric conditions delineate functional brain connectivity dimensions contributing to autism and schizophrenia.
Clara A. Moreau, Sebastian G. W. Urchs, Kumar Kuldeep, Pierre Orban, Catherine Schramm, Guillaume Dumas, Aurélie Labbe, Guillaume Huguet, Elise Douard, Pierre-Olivier Quirion, Amy Lin, Leila Kushan, Stephanie Grot, David Luck, Adrianna Mendrek, Stephane Potvin, Emmanuel Stip, Thomas Bourgeron, Alan C. Evans, Carrie E. Bearden... (2 more)
Nature Communications
(2020-10-19)
www.nature.comPDF
Evaluating Stochastic Rankings with Expected Exposure
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega and Ben Carterette
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning.
arXiv preprint arXiv:2010.10029
(2020-10-19)
ui.adsabs.harvard.eduPDF
A recursive framework for predicting the time-course of drug sensitivity.
Cheng Qian, Amin Emad and Nicholas D. Sidiropoulos
Scientific Reports
(2020-10-19)
www.nature.com
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Antoine Prouvost, Justin Dumouchelle, Lara Scavuzzo, Maxime Gasse, Didier Chételat and Andrea Lodi
Learning Meets Combinatorial Algorithms at NeurIPS2020
(2020-10-17)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:2011.06069 (2020-11-11)]
Approximate information state for approximate planning and reinforcement learning in partially observed systems.
Jayakumar Subramanian, Amit Sinha, Raihan Seraj and Aditya Mahajan
arXiv preprint arXiv:2010.08843
(2020-10-17)
ui.adsabs.harvard.eduPDF
DoMoBOT: a bot for automated and interactive domain modelling
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo and Jörg Kienzle
MODELS 2020
(2020-10-16)
dl.acm.org
The nonsmooth landscape of phase retrieval
Damek Davis, Dmitriy Drusvyatskiy and Courtney Paquette
Ima Journal of Numerical Analysis
(2020-10-16)
academic.oup.comPDF
Multi-Task Deep Reinforcement Learning with Knowledge Transfer for Continuous Control
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang and Jieping Ye
(venue unknown)
(2020-10-15)
arxiv.org
Transparency and reproducibility in artificial intelligence.
Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Levi Waldron, Bo Wang, Chris McIntosh, Anna Goldenberg, Anshul Kundaje, Casey S Greene, Tamara Broderick, Michael M Hoffman, Jeffrey T Leek, Keegan Korthauer, Wolfgang Huber, Alvis Brazma, Joelle Pineau, Robert Tibshirani, Trevor Hastie, John P A Ioannidis... (2 more)
Nature
(2020-10-14)
europepmc.org
When Are Search Completion Suggestions Problematic
Alexandra Olteanu, Fernando Diaz and Gabriella Kazai
Proceedings of the ACM on Human-Computer Interaction
(2020-10-14)
dl.acm.org
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.
Michael P. Recht, Jure Zbontar, Daniel K. Sodickson, Florian Knoll, Nafissa Yakubova, Anuroop Sriram, Tullie Murrell, Aaron Defazio, Michael Rabbat, Leon Rybak, Mitchell Kline, Gina Ciavarra, Erin F. Alaia, Mohammad Samim, William R. Walter, Dana J. Lin, Yvonne W. Lui, Matthew Muckley, Zhengnan Huang, Patricia Johnson... (2 more)
American Journal of Roentgenology
(2020-10-14)
nyuscholars.nyu.edu
Overheating-Avoidance Remapping Scheme for Reliability Enhancement of 3D PCM Storage Systems
Yu-Chen Lin, Tse-Yuan Wang, Che-Wei Tsao, Yuan-Hao Chang, Jian-Jia Chen, Xue Liu and Tei-Wei Kuo
RACS 2020
(2020-10-13)
dl.acm.org
Towards Efficient On-Chip Learning using Equilibrium Propagation
Zhengyun Ji and Warren Gross
ISCAS 2020
(2020-10-12)
ieeexplore.ieee.org
Robust resource provisioning in time-varying edge networks
Ruozhou Yu, Guoliang Xue, Yinxin Wan, Jian Tang, Dejun Yang and Yusheng Ji
MOBIHOC 2020
(2020-10-11)
asu.pure.elsevier.com
Kidney injury molecule-1 is a potential receptor for SARS-CoV-2
Yang C, Zhang Y, Chen H, Chen Y, Yang D, Shen Z, Wang X, Liu X, Xiong M and Huang K
bioRxiv
(2020-10-10)
europepmc.orgPDF
Recursive Top-Down Production for Sentence Generation with Latent Trees.
Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni and Aaron Courville
arXiv preprint arXiv:2010.04704
(2020-10-09)
ui.adsabs.harvard.eduPDF
Affordances for information practices: theorizing engagement among people, technology, and sociocultural environments
Yuxiang Chris Zhao, Yan Zhang, Jian Tang and Shijie Song
Journal of Documentation
(2020-10-08)
doi.org
Training Hardware for Binarized Convolutional Neural Network Based on CMOS Invertible Logic
Duckgyu Shin, Naoya Onizawa, Warren J. Gross and Takahiro Hanyu
IEEE Access
(2020-10-08)
doaj.org
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Yoshua Bengio, Bernhard Schölkopf, Manuel Wüthrich and Stefan Bauer
arXiv preprint arXiv:2010.04296
(2020-10-08)
ui.adsabs.harvard.eduPDF
Inference and prediction diverge in biomedicine
Danilo Bzdok, Denis A. Engemann and Bertrand Thirion
Patterns (New York, N.Y.)
(2020-10-08)
europepmc.orgPDF
A Fully Tensorized Recurrent Neural Network.
Charles C. Onu, Jacob E. Miller and Doina Precup
arXiv preprint arXiv:2010.04196
(2020-10-08)
ui.adsabs.harvard.eduPDF
Advances in Asynchronous Parallel and Distributed Optimization
Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson and Michael G. Rabbat
SACSANN: identifying sequence-based determinants of chromosomal compartments
Julie A Prost, Christopher Jf Cameron and Mathieu Blanchette
bioRxiv
(2020-10-07)
www.biorxiv.orgPDF
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
Abby Leung, Xiaoye Ding, Shenyang Huang and Reihaneh Rabbany
arXiv preprint arXiv:2010.03081
(2020-10-06)
ui.adsabs.harvard.eduPDF
Reinforcement Learning with Random Delays
Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher Pal and Jonathan Binas
arXiv preprint arXiv:2010.02966
(2020-10-06)
ui.adsabs.harvard.eduPDF
A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. II. H II Region Line Ratios
Carter Rhea, Laurie Rousseau-Nepton, Simon Prunet, Myriam Prasow-Émond, Julie Hlavacek-Larrondo, Natalia Vale Asari, Kathryn Grasha and Laurence Perreault-Levasseur
The Astrophysical Journal
(2020-10-05)
ui.adsabs.harvard.edu
On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow
Ehsan Firouzi, Ashkan Sami, Foutse Khomh and Gias Uddin
ESEM 2020
(2020-10-05)
dl.acm.org
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
Xuan Li, Yuchen Lu, Christian Desrosiers and Xue Liu
International Workshop on Machine Learning in Medical Imaging
(2020-10-04)
link.springer.com[Also on arXiv preprint arXiv:2003.09365 (2020-03-20)]
A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure
Ran Liu, Cem Subakan, Aishwarya H. Balwani, Jennifer D. Whitesell, Julie A. Harris, Sanmi Koyejo and Eva L. Dyer
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joel Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior and Adrien Depeursinge
3D Head and Neck Tumor Segmentation in PET/CT Challenge
(2020-10-04)
link.springer.com
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie, Faruk Ahmed and Aaron Courville
arXiv preprint arXiv:2010.01262
(2020-10-03)
ui.adsabs.harvard.eduPDF
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration
Boris N. Oreshkin and Tal Arbel
arXiv preprint arXiv:2010.02505
(2020-10-02)
ui.adsabs.harvard.eduPDF
Uncertainty driven probabilistic voxel selection for image registration
Boris N. Oreshkin and Tal Arbel
arXiv preprint arXiv:2010.00988
(2020-10-02)
ui.adsabs.harvard.eduPDF
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning
Yufeng Zhan, Chi Harold Liu, Yinuo Zhao, Jiang Zhang and Jian Tang
IEEE Transactions on Mobile Computing
(2020-10-01)
doi.org
Stochastic adaptive regularization with dynamic sampling for machine learning
Sanae Lotfi, Dominique Orban and Andrea Lodi
Les Cahiers du GERAD
(2020-10-01)
www.gerad.ca
Stochastic damped L-BFGS with controlled norm of the Hessian approximation
Sanae Lotfi, Tiphaine Bonniot, Dominique Orban and Andrea Lodi
Les Cahiers du GERAD
(2020-10-01)
www.gerad.caPDF
Embedding for Anomaly Detection on Health Insurance Claims
Jiaqi Lu, Benjamin C. M. Fung and William K. Cheung
DSAA 2020
(2020-10-01)
scholars.hkbu.edu.hk
Towards a Classification of Behavioural Equivalences in Continuous-time Markov Processes.
Linan Chen, Florence Clerc and Prakash Panangaden
Electronic Notes in Theoretical Computer Science
(2020-10-01)
www.sciencedirect.com
Multi-Fact Correction in Abstractive Text Summarization
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung and Jingjing Liu
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate
S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Goltz, A. F. Kungl, T. C. Wunderlich, A. Hartel, E. Muller, O. Breitwieser, C. Mauch, M. Kleider, A. Grubl, D. Stockel, C. Pehle, A. Heimbrecht, P. Spilger, G. Kiene... (5 more)
ISCAS 2020
(2020-10-01)
dblp.uni-trier.de
A Regression-Based Method to Synthesize Complex Arithmetic Computations on Stochastic Streams
Arash Ardakani, Amir Ardakani and Warren J. Gross
ISCAS 2020
(2020-10-01)
dblp.uni-trier.de
Video Key Object Detection Network via Reinforcement Learning
Yue Li, Xiangchun Zhou, Tao Cui, Ruohan Gong, Zuqi Tang, Chuang Wang and Wei Wang
ISCAS 2020
(2020-10-01)
xplorestaging.ieee.org
Numeric Data Augmentation using Structural Constraint Wasserstein Generative Adversarial Networks
Wei Wang, Chuang Wang, Tao Cui, Ruohan Gong, Zuqi Tang, Xiangchun Zhou and Yue Li
ISCAS 2020
(2020-10-01)
xplorestaging.ieee.org
Correction to: Why public health matters today and tomorrow: the role of applied public health research.
Lindsay McLaren, Paula Braitstein, David Buckeridge, Damien Contandriopoulos, Maria I Creatore, Guy Faulkner, David Hammond, Steven J Hoffman, Yan Kestens, Scott Leatherdale, Jonathan McGavock, Wendy V Norman, Candace Nykiforuk, Valéry Ridde and Janet Smylie
Canadian Journal of Public Health-revue Canadienne De Sante Publique
(2020-10-01)
link.springer.comPDF
High-Throughput VLSI Architecture for GRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan and Warren J. Gross
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton

2020-09

mSIMPAD: Efficient and Robust Mining of Successive Similar Patterns of Multiple Lengths in Time Series
Chun-Tung Li, Jiannong Cao, Xue Liu and Milos Stojmenovic
ACM Transactions on Computing for Healthcare
(2020-09-30)
dl.acm.org
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier, Koustuv Sinha, Siva Reddy and Christopher Pal
Grow-Push-Prune: aligning deep discriminants for effective structural network compression
Qing Tian, Tal Arbel and James J. Clark
arXiv: Computer Vision and Pattern Recognition
(2020-09-29)
ui.adsabs.harvard.eduPDF
Deep discriminant analysis for task-dependent compact network search
Qing Tian, Tal Arbel and James J. Clark
arXiv preprint arXiv:2009.13716
(2020-09-29)
dblp.uni-trier.de
Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition
Ulysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, Francois Laviolette and Benoit Gosselin
IEEE Access
(2020-09-28)
ui.adsabs.harvard.eduPDF
Sex-specific lesion topographies explain outcomes after acute ischemic stroke
Anna K. Bonkhoff, Markus D. Schirmer, Martin Bretzner, Sungmin Hong, Robert W. Regenhardt, Mikael Brudfors, Kathleen L. Donahue, Marco J. Nardin, Adrian V. Dalca, Anne-Katrin Giese, Mark R. Etherton, Brandon L. Hancock, Steven J. T. Mocking, Elissa C. McIntosh, John Attia, Oscar R. Benavente, Stephen Bevan, John W. Cole, Amanda Donatti, Christoph J. Griessenauer... (38 more)
bioRxiv
(2020-09-27)
www.biorxiv.orgPDF
Graph neural induction of value iteration.
Andreea Deac, Pierre-Luc Bacon and Jian Tang
arXiv preprint arXiv:2009.12604
(2020-09-26)
ui.adsabs.harvard.eduPDF
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer
Yassine Yaakoubi, François Soumis and Simon Lacoste-Julien
arXiv preprint arXiv:2009.12501
(2020-09-26)
ui.adsabs.harvard.eduPDF
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions
Shuang Gao and Aditya Mahajan
(venue unknown)
(2020-09-25)
Population variability in social brain morphology:links to socioeconomic status and health disparity
Nathania Suryoputri, Hannah Kiesow and Danilo Bzdok
bioRxiv
(2020-09-25)
www.biorxiv.orgPDF
Generating Multiscale Amorphous Molecular Structures Using Deep Learning: A Study in 2D
Michael Kilgour, Nicolas Gastellu, David Y. T. Hui, Yoshua Bengio and Lena Simine
Journal of Physical Chemistry Letters
(2020-09-24)
www.scilit.net
A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization
Sanjay Dominik Jena, Andrea Lodi, Hugo Palmer and Claudio Sole
Informs Journal on Optimization
(2020-09-22)
pubsonline.informs.org
Causal Inference for Recommender Systems
Yixin Wang, Dawen Liang, Laurent Charlin and David M. Blei
RECSYS 2020
(2020-09-22)
dl.acm.org
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model
Yue Li, Pratheeksha Nair, Zhi Wen, Imane Chafi, Anya Okhmatovskaia, Guido Powell, Yannan Shen and David Buckeridge
BIOINFORMATICS 2020
(2020-09-21)
dl.acm.org
Accelerometer-based smartphone eavesdropping
Zhongjie Ba, Tianhang Zheng, Zhan Qin, Hanlin Yu, Liu Liu, Baochun Li, Xue Liu and Kui Ren
MOBICOM 2020
(2020-09-21)
dl.acm.org
A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs
Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel and Sriram Sankaranarayanan
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault, Amine Elhattami and Christopher Pal
arXiv: Learning
(2020-09-19)
ui.adsabs.harvard.eduPDF
Overfit Neural Networks as a Compact Shape Representation.
Thomas Davies, Derek Nowrouzezahrai and Alec Jacobson
arXiv: Graphics
(2020-09-17)
dblp.uni-trier.de
Graph Representation Learning
(venue unknown)
(2020-09-16)
ieeexplore.ieee.org
Target to Source Coordinate-wise Adaptation of Pre-trained Models
Luxin Zhang, Pascal Germain, Yacine Kessaci and Christophe Biernacki
ECML 2020
(2020-09-14)
hal.archives-ouvertes.frPDF
Synbols: Probing Learning Algorithms with Synthetic Datasets
Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matthew Craddock, Laurent Charlin and David Vázquez
NEURIPS 2020
(2020-09-14)
papers.nips.ccPDF
Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation
Furkan Ercan, Thibaud Tonnellier, Nghia Doan and Warren J. Gross
IEEE Transactions on Signal Processing
(2020-09-14)
ieeexplore.ieee.orgPDF
Synbols: Probing Learning Algorithms with Synthetic Datasets
Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin and David Vázquez
arXiv preprint arXiv:2009.06415
(2020-09-14)
ui.adsabs.harvard.eduPDF
Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting
Léo Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban and Valentina Zantedeschi
ECML 2020
(2020-09-14)
hal.archives-ouvertes.frPDF
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes and Ioannis Mitliagkas
arXiv preprint arXiv:2009.05475
(2020-09-11)
ui.adsabs.harvard.eduPDF
A normative modelling approach reveals age-atypical cortical thickness in a subgroup of males with autism spectrum disorder.
Richard A I Bethlehem, Jakob Seidlitz, Rafael Romero-Garcia, Stavros Trakoshis, Guillaume Dumas and Michael V Lombardo
Communications Biology
(2020-09-04)
europepmc.org
Keynote Lecture Building Knowledge For AI AgentsWith Reinforcement Learning
ICCP 2020
(2020-09-03)
doi.org
Exploiting Link Diversity for Performance-Aware and Repeatable Simulation in Low-Power Wireless Networks
Zhiwei Zhao, Geyong Min, Wei Dong, Xue Liu, Weifeng Gao, Tao Gu and Minghang Yang
IEEE ACM Transactions on Networking
(2020-09-02)
dl.acm.org
Change Point Detection by Cross-Entropy Maximization.
Aurélien Serre, Didier Chételat and Andrea Lodi
arXiv preprint arXiv:2009.01358
(2020-09-02)
ui.adsabs.harvard.eduPDF
Memory Augmented Deep Recurrent Neural Network for Video Question Answering
Chengxiang Yin, Jian Tang, Zhiyuan Xu and Yanzhi Wang
IEEE Transactions on Neural Networks
(2020-09-01)
europepmc.org
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples
Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin and Alireza Karami Motlagh
IEEE Transactions on Software Engineering
(2020-09-01)
ieeexplore.ieee.org
Why are Some Bugs Non-Reproducible? : –An Empirical Investigation using Data Fusion–
Mohammad Masudur Rahman, Foutse Khomh and Marco Castelluccio
Analysis of Modern Release Engineering Topics : – A Large-Scale Study using StackOverflow –
Moses Openja, Bram Adams and Foutse Khomh
ICSM 2020
(2020-09-01)
dblp.uni-trier.de
Practitioners’ insights on machine-learning software engineering design patterns: a preliminary study
Hironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi and Satoshi Okuda
ICSM 2020
(2020-09-01)
waseda.pure.elsevier.com
VeRNAl: Mining RNA Structures for Fuzzy Base Pairing Network Motifs
Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton and Jerome Waldispuhl
arXiv: Molecular Networks
(2020-09-01)
ui.adsabs.harvard.eduPDF
Fixing Bias in Reconstruction-Based Anomaly Detection with Lipschitz Discriminators
Alexander Tong, Guy Wolf and Smita Krishnaswamyt
MLSP 2020
(2020-09-01)
dblp.uni-trier.de
Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems
Alexander Nicholson, Deeksha M. Arya and Jin L.C. Guo
2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)
(2020-09-01)
dblp.uni-trier.de
SENET: A Semantic Web for Supporting Automation of Software Engineering Tasks
Yalin Liu, Jinfeng Lin, Jane Cleland-Huang, Michael Vierhauser, Jin Guo and Sugandha Lohar
2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)
(2020-09-01)
dblp.uni-trier.de
On the Effectiveness of Two-Step Learning for Latent-Variable Models
Cem Subakan, Maxime Gasse and Laurent Charlin
MLSP 2020
(2020-09-01)
dblp.uni-trier.de
Fast greedy $$\mathcal {C}$$-bound minimization with guarantees
Baptiste Bauvin, Cécile Capponi, Jean-Francis Roy and François Laviolette
Machine Learning
(2020-09-01)
link.springer.comPDF

2020-08

Dissecting the phenotypic heterogeneity in sensory features in autism spectrum disorder: a factor mixture modelling approach.
J Tillmann, M Uljarevic, D Crawley, G Dumas, E Loth, D Murphy, J Buitelaar and T Charman
Biomedical Image Analysis Challenges (BIAS) Reporting Guideline
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider and Bennett A. Landman
(venue unknown)
(2020-08-31)
zenodo.orgPDF
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input
Christopher Neal, Ranwa Al Mallah, Jose Fernandez and Andrea Lodi
CCECE 2020
(2020-08-30)
doi.org
BDD-based optimization for the quadratic stable set problem
Jaime E. González, Andre A. Cire, Andrea Lodi and Louis-Martin Rousseau
Discrete Optimization
(2020-08-27)
www.sciencedirect.com
Stable Policy Optimization via Off-Policy Divergence Regularization.
Ahmed Touati, Amy Zhang, Joelle Pineau and Pascal Vincent
Visual Concept Reasoning Networks
Taesup Kim, Sungwoong Kim and Yoshua Bengio
Information correspondence between types of documentation for APIs
Deeksha M. Arya, Jin L. C. Guo and Martin P. Robillard
Empirical Software Engineering
(2020-08-26)
link.springer.com
Robustesse structurelle des architectures d'apprentissage profond
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
GRETSI
(2020-08-26)
hal.archives-ouvertes.fr
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets.
Marc-Andre Schulz, B. T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards and Danilo Bzdok
Nature Communications
(2020-08-25)
www-nature-com-443.webvpn.bjmu.tsg211.com
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics
Prasanna Parthasarathi, Joelle Pineau and Sarath Chandar
arXiv preprint arXiv:2008.10427
(2020-08-24)
ui.adsabs.harvard.eduPDF
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren and Yanzhi Wang
ECCV 2020
(2020-08-23)
hgpu.orgPDF
Differentiable Feature Aggregation Search for Knowledge Distillation
Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian and Jian Tang
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu and Mark Coates
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
Laplacian Change Point Detection for Dynamic Graphs
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau and Reihaneh Rabbany
Do Syntax Trees Help Pre-trained Transformers Extract Information?. (arXiv:2008.09084v1 [cs.CL])
Devendra Singh Sachan, Yuhao Zhang, Peng Qi and William Hamilton
arXiv Computer Science
(2020-08-21)
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. (arXiv:2008.08838v1 [cs.LG])
Sitao Luan, Mingde Zhao, Xiao-Wen Chang and Doina Precup
arXiv Computer Science
(2020-08-21)
Precision, Equity, and Public Health and Epidemiology Informatics - A Scoping Review.
Yearb Med Inform
(2020-08-21)
www.ncbi.nlm.nih.gov
BIAS: Transparent reporting of biomedical image analysis challenges.
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider and Bennett A. Landman
Medical Image Analysis
(2020-08-21)
europepmc.org
Action-based Representation Learning for Autonomous Driving.
Yi Xiao, Felipe Codevilla, Christopher J. Pal and Antonio M. López
Partitioning gene-based variance of complex traits by gene score regression
Wenmin Zhang, Si Yi Li, Tianyi Liu and Yue Li
PLOS ONE
(2020-08-20)
journals.plos.org
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks.
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang and Doina Precup
arXiv preprint arXiv:2008.08844
(2020-08-20)
ui.adsabs.harvard.eduPDF
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks.
Sitao Luan, Mingde Zhao, Xiao-Wen Chang and Doina Precup
arXiv preprint arXiv:2008.08838
(2020-08-20)
ui.adsabs.harvard.eduPDF
Augmented base pairing networks encode RNA-small molecule binding preferences.
Carlos Oliver, Vincent Mallet, Roman Sarrazin Gendron, Vladimir Reinharz, William L Hamilton, Nicolas Moitessier and Jérôme Waldispühl
Nucleic Acids Research
(2020-08-20)
academic.oup.com[Also on bioRxiv (2020-01-31)]
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
Hansenclever F. Bassani, Renie A. Delgado, José Nilton de O. Lima Junior, Heitor R. Medeiros, Pedro H. M. Braga, Mateus G. Machado, Lucas H. C. Santos and Alain Tapp
arXiv preprint arXiv:2008.12624
(2020-08-18)
ui.adsabs.harvard.eduPDF
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
Michael Perlmutter, Feng Gao, Guy Wolf and Matthew J. Hirn
Mathematical and Scientific Machine Learning
(2020-08-16)
proceedings.mlr.pressPDF
A review of the-state-of-the-art in data-driven approaches for building energy prediction
Ying Sun, Fariborz Haghighat and Benjamin C.M. Fung
Energy and Buildings
(2020-08-15)
www.sciencedirect.com
Mastering Rate based Curriculum Learning.
Lucas Willems, Salem Lahlou and Yoshua Bengio
arXiv preprint arXiv:2008.06456
(2020-08-14)
ui.adsabs.harvard.eduPDF
Conditions for indexability of restless bandits and an algorithm to compute Whittle index
Nima Akbarzadeh and Aditya Mahajan
arXiv e-prints
(2020-08-13)
ui.adsabs.harvard.eduPDF
Adaptive Learning of Tensor Network Structures
Meraj Hashemizadeh, Michelle Liu, Jacob Miller and Guillaume Rabusseau
arXiv preprint arXiv:2008.05437
(2020-08-12)
arxiv.orgPDF
Introduction to Dynamic Stochastic Computing
Siting Liu, Warren J. Gross and Jie Han
IEEE Circuits and Systems Magazine
(2020-08-12)
ieeexplore.ieee.org
Adaptive Tensor Learning with Tensor Networks
Meraj Hashemizadeh, Michelle Liu, Jacob Miller and Guillaume Rabusseau
arXiv e-prints
(2020-08-12)
ui.adsabs.harvard.eduPDF
Meta-matching: a simple framework to translate phenotypic predictive models from big to small data
He T, An L, Feng J, Bzdok D, Holmes Aj, Eickhoff Sb and Yeo Bt
bioRxiv
(2020-08-11)
europepmc.orgPDF
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop.
Guillaume Alain, Maxime Chevalier-Boisvert, Frédéric Osterrath and Remi Piché-Taillefer
arXiv preprint arXiv:2008.04391
(2020-08-10)
ui.adsabs.harvard.eduPDF
Heterogeneous data release for cluster analysis with differential privacy
Rong Wang, Benjamin C.M. Fung and Yan Zhu
Knowledge Based Systems
(2020-08-09)
www.sciencedirect.com
Hidden population modes in social brain morphology: Its parts are more than its sum
Hannah Kiesow, R. Nathan Spreng, Avram J. Holmes, M. Mallar Chakravarty, Andre F. Marquand, B.T. Thomas Yeo and Danilo Bzdok
bioRxiv
(2020-08-07)
www.biorxiv.orgPDF
Statistical Evidence for Learnable Lexical Subclasses in Japanese
Takashi Morita and Timothy J. O’Donnell
Linguistic Inquiry
(2020-08-06)
www.mitpressjournals.org
Distinct miRNA Profile of Cellular and Extracellular Vesicles Released from Chicken Tracheal Cells Following Avian Influenza Virus Infection.
Kelsey O’Dowd, Mehdi Emam, Mohamed Reda El Khili, Amin Emad, Eveline M. Ibeagha-Awemu, Carl A. Gagnon and Neda Barjesteh
Vaccine
(2020-08-05)
www.ncbi.nlm.nih.govPDF
Dimensionality and flexibility of learning in biological recurrent neural networks
Blake Aaron Richards, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Luke Yuri Prince, Arna Ghosh, Roy Pavel Samuel henha Eyono and Franz Scherr
(venue unknown)
(2020-08-03)
openreview.netPDF
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain and Benjamin Guedj
Implicit Regularization in Deep Learning: A View from Function Space.
Aristide Baratin, Thomas George, César Laurent, R. Devon Hjelm, Guillaume Lajoie, Pascal Vincent and Simon Lacoste-Julien
(venue unknown)
(2020-08-03)
www.microsoft.com
Adaptive Feature Boosting of Multi-Sourced Deep Autoencoders for Smart Grid Intrusion Detection
Chengming Hu, Jun Yan and Xue Liu
PES 2020
(2020-08-02)
ieeexplore.ieee.org
A Neural Network Based Approach to Domain Modelling Relationships and Patterns Recognition
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Jorg Kienzle
2020 IEEE Tenth International Model-Driven Requirements Engineering (MoDRE)
(2020-08-01)
ieeexplore.ieee.org
Towards Queryable and Traceable Domain Models
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Jorg Kienzle
RE 2020
(2020-08-01)
dblp.uni-trier.de
Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework
Daniele Di Vito, Mathieux Bergeron, David Meger, Gregory Dudek and Gianluca Antonelli
2020 IEEE Conference on Control Technology and Applications (CCTA)
(2020-08-01)
dblp.uni-trier.de
Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity
Jessica Royer, Casey Paquola, Sara Larivière, Reinder Vos de Wael, Shahin Tavakol, Alexander J. Lowe, Oualid M. Benkarim, Alan C. Evans, Danilo Bzdok, Jonathan Smallwood, Birgit Frauscher and Boris C. Bernhardt
NeuroImage
(2020-08-01)
europepmc.org
Optimal Local and Remote Controllers With Unreliable Uplink Channels: An Elementary Proof
Mohammad Afshari and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-08-01)
ieeexplore.ieee.orgPDF
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning
Jayakumar Subramanian and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-08-01)
doi.org
A multicut outer-approximation approach for competitive facility location under random utilities
Tien Mai and Andrea Lodi
European Journal of Operational Research
(2020-08-01)
www.sciencedirect.comPDF
Leveraging cluster backbones for improving MAP inference in statistical relational models
Mohamed Hamza Ibrahim, Christopher J. Pal and Gilles Pesant
Annals of Mathematics and Artificial Intelligence
(2020-08-01)
link.springer.com

2020-07

Plan2Vec: Unsupervised Representation Learning by Latent Plans
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel and Roberto Calandra
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné and Boyu Wang
arXiv preprint arXiv:2007.15567
(2020-07-30)
ui.adsabs.harvard.eduPDF
Population variability in social brain morphology for social support, household size and friendship satisfaction
Arezoo Taebi, Hannah Kiesow, Kai Vogeley, Leonhard Schilbach, Boris C Bernhardt and Danilo Bzdok
Social Cognitive and Affective Neuroscience
(2020-07-30)
academic.oup.comPDF
Inferring disease subtypes from clusters in explanation space.
Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok and Konstantinos Georgatzis
Scientific Reports
(2020-07-30)
www.nature.comPDF
Patterns of autism symptoms: hidden structure in the ADOS and ADI-R instruments
Jérémy Lefort-Besnard, Kai Vogeley, Leonhard Schilbach, Gaël Varoquaux, Bertrand Thirion, Guillaume Dumas and Danilo Bzdok
Translational Psychiatry
(2020-07-30)
www.nature.com
Deriving Differential Target Propagation from Iterating Approximate Inverses
arXiv: Learning
(2020-07-29)
ui.adsabs.harvard.eduPDF
Indoor large-scale water curtain assembly type dry hanging installation structure
Cai Tianhua, Zhuo Yan, Li Bo, Li Ming, Huang Lei, Mao Ke, Wang Feng, Yuan Gengcai, Zhang Tingsen, Zhang Jinfeng, Chen Xiaoping, Qi Deshu, Li Bin, Yan Wencai, Yu Gang, Yang Tao, Han Wei, Chen Zunyong, Gao Xiuquan, Wei Ling... (3 more)
(venue unknown)
(2020-07-28)
lens.org
Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning
Joseph Paul Cohen, Lan Dao, Karsten Roth, Paul Morrison, Yoshua Bengio, Almas F Abbasi, Beiyi Shen, Hoshmand Kochi Mahsa, Marzyeh Ghassemi, Haifang Li and Tim Q Duong
Cureus
(2020-07-28)
europepmc.orgPDF
Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell and Susan T. Dumais
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé, Fernando Diaz and Michèle Finck
Data-Efficient Reinforcement Learning with Momentum Predictive Representations. (arXiv:2007.05929v2 [cs.LG] UPDATED)
Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville and Philip Bachman
arXiv Computer Science
(2020-07-24)
BabyAI 1.1.
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv preprint arXiv:2007.12770
(2020-07-24)
ui.adsabs.harvard.eduPDF
Importation of SARS-CoV-2 following the "semaine de relache" and Quebec's (Canada) COVID-19 burden - a mathematical modeling study
Arnaud Godin, Yiqing Xia, David L Buckeridge, Sharmistha Mishra, Dirk Douwes-Schultz, Yannan Shen, Maxime Lavigne, Mélanie Drolet, Alexandra M Schmidt, Marc Brisson and Mathieu Maheu-Giroux
medRxiv
(2020-07-22)
www.medrxiv.org
Phenotypical predictors of Restless Legs Syndrome in pregnancy and their association with basal ganglia and the limbic circuits
Natalia Chechko, Jeremy Lefort-Besnard, Tamme W. Goecke, Markus Frensch, Patricia Schnakenberg, Susanne Stickel and Danilo Bzdok
medRxiv
(2020-07-22)
www.medrxiv.orgPDF
Neuronal activity remodels the F-actin based submembrane lattice in dendrites but not axons of hippocampal neurons
Flavie Lavoie-Cardinal, Anthony Bilodeau, Mado Lemieux, Marc-André Gardner, Theresa Wiesner, Gabrielle Laramée, Christian Gagné and Paul De Koninck
Scientific Reports
(2020-07-20)
www.nature.com[Also on bioRxiv (2020-05-30)]
Survey on Applications of Multi-Armed and Contextual Bandits
Djallel Bouneffouf, Irina Rish and Charu Aggarwal
CEC 2020
(2020-07-19)
doi.org
Slot Contrastive Networks: A Contrastive Approach for Representing Objects.
Evan Racah and Sarath Chandar
arXiv preprint arXiv:2007.09294
(2020-07-18)
ui.adsabs.harvard.eduPDF
Neurocognitive patterns dissociating semantic processing from executive control are linked to more detailed off-task mental time travel.
Hao-Ting Wang, Nerissa Siu Ping Ho, Danilo Bzdok, Boris C. Bernhardt, Daniel S. Margulies, Elizabeth Jefferies and Jonathan Smallwood
Scientific Reports
(2020-07-17)
www.nature.com
GRADE: Graph Dynamic Embedding.
Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò and Jian Tang
arXiv preprint arXiv:2007.08060
(2020-07-16)
dblp.uni-trier.dePDF
Molecular signatures of cognition and affect
Justine Y. Hansen, Ross D. Markello, Jacob W. Vogel, Jakob Seidlitz, Danilo Bzdok and Bratislav Misic
bioRxiv
(2020-07-16)
www.biorxiv.orgPDF
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
Amy Zhang, Shagun Sodhani, Khimya Khetarpal and Joelle Pineau
(venue unknown)
(2020-07-14)
dblp.uni-trier.de
Historical Issue Data of Projects on Jira
Alexander Nicholson, Deeksha Arya and Jin L.C. Guo
(venue unknown)
(2020-07-13)
zenodo.org
Binary Ostensibly‐Implicit Trees for Fast Collision Detection
Floyd M. Chitalu, Christophe Dubach and Taku Komura
EUROGRAPHICS 2020
(2020-07-13)
diglib.eg.org
Building reproducible, reusable, and robust machine learning software
DEBS 2020
(2020-07-13)
dblp.uni-trier.de
S2RMs: Spatially Structured Recurrent Modules.
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio and Bernhard Schölkopf
arXiv preprint arXiv:2007.06533
(2020-07-13)
ui.adsabs.harvard.eduPDF
Data-Efficient Reinforcement Learning with Momentum Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville and Philip Bachman
ICLR 2020
(2020-07-12)
www.microsoft.comPDF
How to train your Neural ODE
Chris Finlay, Joern-Henrik Jacobsen, Levon Nurbekyan and Adam M Oberman
ICML 2020
(2020-07-12)
icml.ccPDF
What can I do here? A Theory of Affordances in Reinforcement Learning
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel and Doina Precup
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
Mahmoud Assran and Michael Rabbat
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference
Robert Brekelmans, Vaden W Masrani, Frank Wood, Greg Ver Steeg and Aram Galstyan
ICML 2020
(2020-07-12)
icml.cc
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger and Gregory Dudek
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk and Smita Krishnaswamy
Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh and Marc Bellemare
An end-to-end approach for the verification problem: learning the right distance
Joao Monteiro, Isabela Albuquerque, Jahangir Alam, R Devon Hjelm and Tiago Falk
Universal Equivariant Multilayer Perceptrons
Incidence Networks for Geometric Deep Learning
Marjan Albooyeh, Daniele Bertolini and Siamak Ravanbakhsh
ICML 2020
(2020-07-12)
icml.ccPDF
Latent Variable Modelling with Hyperbolic Normalizing Flows
Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden and Will Hamilton
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF
Inductive Relation Prediction by Subgraph Reasoning
Komal Teru, Etienne Denis and Will Hamilton
On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu, Jackie Chi Kit Cheung and Yanshuai Cao
Constrained Markov Decision Processes via Backward Value Functions
Harsh Satija, Philip Amortila and Joelle Pineau
Invariant Causal Prediction for Block MDPs
Clare Lyle, Amy Zhang, Angelos Filos, Shagun Sodhani, Marta Kwiatkowska, Yarin Gal, Doina Precup and Joelle Pineau
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia, Eugene Belilovsky, Massimo Caccia and Joelle Pineau
Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio, Joelle Pineau and Doina Precup
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux and Jian Tang
ICML 2020
(2020-07-12)
icml.ccPDF
Continuous Graph Neural Networks
Louis-Pascal Xhonneux, Meng Qu and Jian Tang
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang and Jian Tang
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Yao Liu, Pierre-Luc Bacon and Emma Brunskill
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim, Waïss Azizian, Gauthier Gidel and Ioannis Mitliagkas
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien and Ioannis Mitliagkas
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville and Olivier Pietquin
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim, Aaron Courville, Christopher Pal and Chin-Wei Huang
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Haoran Wei, Yashaswi Pathak, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF
Revisiting Fundamentals of Experience Replay
William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland and Will Dabney
Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle and Augustus Odena
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer and Yoshua Bengio
Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio and Liam Paull
Generative Graph Perturbations for Scene Graph Prediction.
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville and Eugene Belilovsky
arXiv e-prints
(2020-07-11)
ui.adsabs.harvard.edu
Feature Statistics Guided Efficient Filter Pruning.
Hang Li, Chen Ma, Wei Xu and Xue Liu
On the Social and Technical Challenges of Web Search Autosuggestion Moderation.
Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz and Michael Golebiewski
arXiv preprint arXiv:2007.05039
(2020-07-09)
ui.adsabs.harvard.eduPDF
Learning Graph Structure With A Finite-State Automaton Layer
Daniel D. Johnson, Hugo Larochelle and Daniel Tarlow
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Maxime Wabartha, Audrey Durand, Vincent François-Lavet and Joelle Pineau
IJCAI 2020
(2020-07-09)
www.ijcai.orgPDF
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract).
Vincent Francois-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst and Raphael Fonteneau
IJCAI 2020
(2020-07-09)
www.ijcai.orgPDF
SVRG for Policy Evaluation with Fewer Gradient Evaluations
Zilun Peng, Ahmed Touati, Pascal Vincent and Doina Precup
Robust motion in-betweening
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai and Christopher Pal
Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature
Amin Emad, Tania Ray, Tor W. Jensen, Meera Parat, Rachael Natrajan, Saurabh Sinha and Partha S. Ray
Breast Cancer Research
(2020-07-08)
breast-cancer-research.biomedcentral.comPDF
Directional sources and listeners in interactive sound propagation using reciprocal wave field coding
Chakravarty R. Alla Chaitanya, Nikunj Raghuvanshi, Keith W. Godin, Zechen Zhang, Derek Nowrouzezahrai and John M. Snyder
SIGGRAPH 2020
(2020-07-08)
dl.acm.org
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.
Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez and Derek Nowrouzezahrai
arXiv preprint arXiv:2007.07012
(2020-07-07)
ui.adsabs.harvard.eduPDF
3D Shape Reconstruction from Vision and Touch
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik and Michal Drozdzal
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm Van Seijen, Hadi Nekoei, Evan Racah and Sarath Chandar
Sharp Analysis of Smoothed Bellman Error Embedding.
Ahmed Touati and Pascal Vincent
arXiv preprint arXiv:2007.03749
(2020-07-07)
ui.adsabs.harvard.eduPDF
Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach
Chi Harold Liu, Zipeng Dai, Haoming Yang and Jian Tang
INFOCOM 2020
(2020-07-06)
experts.syr.edu
DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning
Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu and Junliang Chen
INFOCOM 2020
(2020-07-06)
experts.syr.edu
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
Chi Harold Liu, Chengzhe Piao and Jian Tang
INFOCOM 2020
(2020-07-06)
doi.org
Attenuated Anticipation of Social and Monetary Rewards in Autism Spectrum Disorders
Sarah Baumeister, Carolin Moessnang, Nico Bast, Sarah Hohmann, Julian Tillmann, David Goyard, Tony Charman, Sara Ambrosino, Simon Baron-Cohen, Christian Beckmann, Sven Boelte, Thomas Bourgeron, Annika Rausch, Daisy Crawley, Flavio Dell'Acqua, Guillaume Dumas, Sarah Durston, Christine Ecker, Dorothea L. Floris, Vincent Frouin... (19 more)
bioRxiv
(2020-07-06)
www.biorxiv.orgPDF
Comparing Audience Appreciation to Fact-Checking Across Political Communities on Reddit
Deven Parekh, Drew Margolin and Derek Ruths
WEBSCI 2020
(2020-07-06)
dl.acm.org
Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban and Joelle Pineau
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon and Joelle Pineau
arXiv preprint arXiv:2007.02786
(2020-07-06)
ui.adsabs.harvard.eduPDF
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin and Yoshua Bengio
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux and Jian Tang
arXiv preprint arXiv:2007.02387
(2020-07-05)
export.arxiv.orgPDF
Deep interpretability for GWAS.
Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé and Joelle Pineau
arXiv preprint arXiv:2007.01516
(2020-07-03)
ui.adsabs.harvard.eduPDF
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien and Alexandre Drouin
A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes’ interactions points to Neutrophil Extracellular Traps as mediators of thrombosis in COVID-19
Jun Ding, David Earl Hostallero, Mohamed Reda El Khili, Gregory Fonseca, Simon Millette, Nuzha Noorah, Myriam Guay-Belzile, Jonathan Spicer, Noriko Daneshtalab, Martin Sirois, Karine Tremblay, Amin Emad and Simon Rousseau
medRxiv
(2020-07-02)
www.medrxiv.orgPDF
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs.
Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng and Jin L. C. Guo
arXiv preprint arXiv:2007.01231
(2020-07-02)
ui.adsabs.harvard.eduPDF
Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study
Vincenzo Forgetta, Julyan Keller-Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John P Kemp, Maria Nethander, Daniel Evans, John A Morris, Douglas P Kiel, Fernando Rivadeneira, Helena Johansson, Nicholas C Harvey, Dan Mellström, Magnus Karlsson, Cyrus Cooper, David M Evans, Robert Clarke, John A Kanis, Eric Orwoll... (6 more)
PLOS Medicine
(2020-07-02)
doaj.orgPDF
The impact of atmospheric cues on consumers’ approach and avoidance behavioral intentions in social commerce websites
Jian Tang and Ping Zhang
Computers in Human Behavior
(2020-07-01)
www.sciencedirect.com
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
Michael Perlmutter, Feng Gao, Guy Wolf and Matthew J. Hirn
Proceedings of machine learning research
(2020-07-01)
dblp.uni-trier.dePDF
A Linear-Complexity Channel-Independent Code Construction Method for List Sphere Polar Decoder
Huayi Zhou, Warren J. Gross, Zaichen Zhang, Xiaohu You and Chuan Zhang
Journal of Signal Processing Systems
(2020-07-01)
link.springer.com
Counterexamples on the Monotonicity of Delay Optimal Strategies for Energy Harvesting Transmitters
Borna Sayedana and Aditya Mahajan
IEEE Wireless Communications Letters
(2020-07-01)
jglobal.jst.go.jpPDF
Bringing proportional recovery into proportion: Bayesian modelling of post-stroke motor impairment.
Anna K Bonkhoff, Thomas Hope, Danilo Bzdok, Adrian G Guggisberg, Rachel L Hawe, Sean P Dukelow, Anne K Rehme, Gereon R Fink, Christian Grefkes and Howard Bowman
Brain
(2020-07-01)
academic.oup.com
Hemispheric specialization within the inferior parietal lobe across cognitive domains
Ole Numssen, Danilo Bzdok and Gesa Hartwigsen
bioRxiv
(2020-07-01)
www.biorxiv.orgPDF
Practical Product Path Guiding Using Linearly Transformed Cosines
Stavros Diolatzis, Adrien Gruson, Wenzel Jakob, Derek Nowrouzezahrai and George Drettakis
Computer Graphics Forum
(2020-07-01)
diglib.eg.org
Probing Linguistic Systematicity
Emily Goodwin, Koustuv Sinha and Timothy J. O'Donnell
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.
Willem Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg and Timothy Q. Gentner
Topics in Cognitive Science
(2020-07-01)
onlinelibrary.wiley.comPDF
Legends: Folklore on Reddit
Caitrin Armstrong and Derek Ruths
arXiv preprint arXiv:2007.00750
(2020-07-01)
ui.adsabs.harvard.eduPDF
Accelerating Deep Learning Systems via Critical Set Identification and Model Compression
Rui Han, Chi Harold Liu, Shilin Li, Shilin Wen and Xue Liu
IEEE Transactions on Computers
(2020-07-01)
dl.acm.org
How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges
Wenting Wang, Jinghui Cheng and Jin L.C. Guo
EvoLSTM: context-dependent models of sequence evolution using a sequence-to-sequence LSTM.
Dongjoon Lim and Mathieu Blanchette
Bioinformatics
(2020-07-01)
academic.oup.com
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton and Jimmy Lin
ACL 2020
(2020-07-01)
aclanthology.org
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions.
Learning an Unreferenced Metric for Online Dialogue Evaluation.
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton and Joelle Pineau
Interactive Machine Comprehension with Information Seeking Agents.
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal and Adam Trischler
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Anh Tuan Luu and Chris Pal
ACL 2020
(2020-07-01)
aclanthology.org
Adversarial Example Games.
Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien and William L. Hamilton
arXiv preprint arXiv:2007.00720
(2020-07-01)
ui.adsabs.harvard.eduPDF
Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition.
Assya Trofimov, Joseph Paul Cohen, Yoshua Bengio, Claude Perreault and Sébastien Lemieux
Bioinformatics
(2020-07-01)
academic.oup.com
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio and Yue Zhang
Compositional Generalization by Factorizing Alignment and Translation
Jacob L. Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
ACL 2020
(2020-07-01)
aclanthology.org
The need for privacy with public digital contact tracing during the COVID-19 pandemic
Yoshua Bengio, Richard Janda, Yun William Yu, Daphne Ippolito, Max Jarvie, Dan Pilat, Brooke Struck, Sekoul Krastev and Abhinav Sharma
The Lancet Digital Health
(2020-07-01)
www.thelancet.com

2020-06

Semi-supervised Sequential Generative Models
Michael Teng, Tuan Anh Le, Adam Scibior and Frank Wood
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert and Chris Pal
arXiv preprint arXiv:2007.02319
(2020-06-29)
ui.adsabs.harvard.eduPDF
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio and Michael Mozer
arXiv: Learning
(2020-06-29)
dblp.uni-trier.dePDF
Learning to Fix Build Errors with Graph2Diff Neural Networks
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton and Edward Aftandilian
Machine learning analysis identifies genes differentiating triple negative breast cancers
Charu Kothari, Mazid Abiodoun Osseni, Lynda Agbo, Geneviève Ouellette, Maxime Déraspe, François Laviolette, Jacques Corbeil, Jean-Philippe Lambert, Caroline Diorio and Francine Durocher
Scientific Reports
(2020-06-26)
europepmc.org
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:2006.15212
(2020-06-26)
ui.adsabs.harvard.eduPDF
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools
Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman and Guillaume Lajoie
arXiv preprint arXiv:2006.14123
(2020-06-25)
ui.adsabs.harvard.eduPDF
Shared and unique brain network features predict cognition, personality and mental health in childhood
Jianzhong Chen, Angela Tam, Valeria Kebets, Csaba Orban, Leon Qi Rong Ooi, Scott Marek, Nico Dosenbach, Simon Eickhoff, Danilo Bzdok, Avram J Holmes and B.T. Thomas Yeo
bioRxiv
(2020-06-24)
www.biorxiv.org
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu and Jian Tang
arXiv preprint arXiv:2006.13463
(2020-06-24)
ui.adsabs.harvard.eduPDF
gRemote: API-Forwarding Powered Cloud Rendering
Dongjie Tang, Yun Wang, Linsheng Li, Jiacheng Ma, Xue Liu, Zhengwei Qi and Haibing Guan
HPDC 2020
(2020-06-23)
dl.acm.org
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal and Derek Nowrouzezahrai
Rethinking Distributional Matching Based Domain Adaptation.
Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio and Kurt Keutzer
arXiv preprint arXiv:2006.13352
(2020-06-23)
ui.adsabs.harvard.eduPDF
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy and Yoshua Bengio
CVPR 2020
(2020-06-23)
ui.adsabs.harvard.eduPDF
Advantages of biologically-inspired adaptive neural activation in RNNs during learning.
Victor Geadah, Giancarlo Kerg, Stefan Horoi, Guy Wolf and Guillaume Lajoie
arXiv preprint arXiv:2006.12253
(2020-06-22)
ui.adsabs.harvard.eduPDF
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. (arXiv:2002.09127v2 [cs.CL] UPDATED)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
arXiv Computer Science
(2020-06-19)
Learning to Prove from Synthetic Theorems.
Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup and Shibl Mourad
arXiv preprint arXiv:2006.11259
(2020-06-19)
ui.adsabs.harvard.eduPDF
The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media
Aengus Bridgman, Eric Merkley, Peter John Loewen, Taylor Owen, Derek Ruths, Lisa Teichmann and Oleg Zhilin
Harvard Kennedy School Misinformation Review
(2020-06-18)
doaj.orgPDF
Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations.
Mahmoud Assran, Nicolas Ballas, Lluís Castrejón and Michael G. Rabbat
arXiv preprint arXiv:2006.10803
(2020-06-18)
dblp.uni-trier.de
Enhancing Few-Shot Image Classification with Unlabelled Examples
Peyman Bateni, Jarred Barber, Jan-Willem van de Meent and Frank Wood
arXiv: Computer Vision and Pattern Recognition
(2020-06-17)
128.84.4.27PDF
Learning Lexical Subspaces in a Distributional Vector Space
Kushal Arora, Aishik Chakraborty and Jackie Chi Kit Cheung
Transactions of the Association for Computational Linguistics
(2020-06-17)
direct.mit.edu
Intelligent Tools for Precision Public Health.
Anya Okhmatovskaia and David L. Buckeridge
MIE 2020
(2020-06-16)
doi.org
Untangling tradeoffs between recurrence and self-attention in neural networks
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio and Guillaume Lajoie
arXiv preprint arXiv:2006.09471
(2020-06-16)
ui.adsabs.harvard.eduPDF
Towards an Unsupervised Method for Model Selection in Few-Shot Learning
Simon Guiroy, Vikas Verma and Christopher Pal
(venue unknown)
(2020-06-15)
openreview.netPDF
Cross-layer communication over fading channels with adaptive decision feedback
Borna Sayedana, Aditya Mahajan and Edmund Yeh
WIOPT 2020
(2020-06-15)
ieeexplore.ieee.orgPDF
Design and implementation of a modular interior-point solver for linear optimization
Miguel F. Anjos, Andrea Lodi and Mathieu Tanneau
arXiv preprint arXiv:2006.08814
(2020-06-15)
ui.adsabs.harvard.eduPDF
Supervised Visualization for Data Exploration
Jake S. Rhodes, Adele Cutler, Guy Wolf and Kevin R. Moon
arXiv preprint arXiv:2006.08701
(2020-06-15)
ui.adsabs.harvard.eduPDF
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus, Dami Choi, Daniel Tarlow, Andreas Krause and Chris J. Maddison
Chaotic Continual Learning
Touraj Laleh, Mojtaba Faramarzi, Irina Rish and Sarath Chandar
(venue unknown)
(2020-06-14)
openreview.netPDF
Improved Few-Shot Visual Classification
Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood and Leonid Sigal
PatchUp: A Regularization Technique for Convolutional Neural Networks
Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma and Sarath Chandar
arXiv preprint arXiv:2006.07794
(2020-06-14)
ui.adsabs.harvard.eduPDF
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf and Smita Krishnaswamy
arXiv preprint arXiv:2006.06885
(2020-06-12)
ui.adsabs.harvard.eduPDF
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta, Karmesh Yadav and Liam Paull
arXiv preprint arXiv:2007.13904
(2020-06-12)
ui.adsabs.harvard.eduPDF
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure, Remi Tachet des Combes, Thang Long Doan, Philip Bachman and R Devon Hjelm
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Safa Alver and Doina Precup
arXiv preprint arXiv:2006.07262
(2020-06-12)
ui.adsabs.harvard.eduPDF
Evaluating Logical Generalization in Graph Neural Networks.
Koustuv Sinha, Shagun Sodhani, Joelle Pineau and William L. Hamilton
arXiv: Learning
(2020-06-12)
ui.adsabs.harvard.eduPDF
Learning Causal Models Online.
Khurram Javed, Martha White and Yoshua Bengio
arXiv preprint arXiv:2006.07461
(2020-06-12)
dblp.uni-trier.dePDF
Deep Learning-based Stress Determinator for Mouse Psychiatric Analysis using Hippocampus Activity.
Donghan Liu, Benjamin C. M. Fung and Tak Pan Wong
arXiv preprint arXiv:2006.06862
(2020-06-11)
ui.adsabs.harvard.eduPDF
To Each Optimizer a Norm, To Each Norm its Generalization.
Sharan Vaswani, Reza Babanezhad, Jose Gallego, Aaron Mishkin, Simon Lacoste-Julien and Nicolas Le Roux
arXiv preprint arXiv:2006.06821
(2020-06-11)
ui.adsabs.harvard.eduPDF
Learning normalizing flows from Entropy-Kantorovich potentials
Chris Finlay, Augusto Gerolin, Adam M Oberman and Aram-Alexandre Pooladian
arXiv preprint arXiv:2006.06033
(2020-06-10)
ui.adsabs.harvard.eduPDF
Deterministic Gaussian Averaged Neural Networks.
Ryan Campbell, Chris Finlay and Adam M. Oberman
arXiv: Learning
(2020-06-10)
dblp.uni-trier.dePDF
Standardised convolutional filtering for radiomics.
Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières and Alex Zwanenburg
arXiv preprint arXiv:2006.05470
(2020-06-09)
ui.adsabs.harvard.eduPDF
Multi-agent Assortment Optimization in Sequential Matching Markets
Alfredo Torrico, Margarida Carvalho and Andrea Lodi
arXiv preprint arXiv:2006.04313
(2020-06-08)
arxiv.orgPDF
Provable Guarantees for General Two-sided Sequential Matching Markets
Alfredo Torrico, Margarida Carvalho and Andrea Lodi
arXiv: Computer Science and Game Theory
(2020-06-08)
ui.adsabs.harvard.edu
Dissociating memory accessibility and precision in forgetting
Sam C Berens, Blake A Richards and Aidan J Horner
Nature Human Behaviour
(2020-06-08)
europepmc.org
Adversarial Feature Desensitization
arXiv preprint arXiv:2006.04621
(2020-06-08)
128.84.21.199PDF
Fast Thresholded SC-Flip Decoding of Polar Codes
Furkan Ercan and Warren J. Gross
NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines.
David Meunier, Annalisa Pascarella, Dmitrii Altukhov, Mainak Jas, Etienne Combrisson, Tarek Lajnef, Daphné Bertrand-Dubois, Vanessa Hadid, Golnoush Alamian, Jordan Alves, Fanny Barlaam, Anne-Lise Saive, Arthur Dehgan and Karim Jerbi
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier and Damien Querlioz
arXiv preprint arXiv:2006.03824
(2020-06-06)
ui.adsabs.harvard.eduPDF
Leveraging Subword Embeddings for Multinational Address Parsing
Marouane Yassine, David Beauchemin, Francois Laviolette and Luc Lamontagne
2020 6th IEEE Congress on Information Science and Technology (CiSt)
(2020-06-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:2006.16152 (2020-06-29)]
Dark control: The default mode network as a reinforcement learning agent.
Elvis Dohmatob, Guillaume Dumas and Danilo Bzdok
Human Brain Mapping
(2020-06-05)
europepmc.orgPDF
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Kaixuan Zhang, Qinglong Wang, Xue Liu and C. Lee Giles
Equivariant Maps for Hierarchical Structures.
Renhao Wang, Marjan Albooyeh and Siamak Ravanbakhsh
arXiv preprint arXiv:2006.03627
(2020-06-05)
ui.adsabs.harvard.eduPDF
Santé publique de précision : Rêve ou réalité?
Maureen Dobbins and David Buckeridge
Relevé des maladies transmissibles au Canada
(2020-06-04)
PDF
Precision public health: Dream or reality?
Maureen Dobbins and David Buckeridge
Canada communicable disease report = Releve des maladies transmissibles au Canada
(2020-06-04)
PDF
Codon arrangement modulates MHC-I peptides presentation
T. Daouda, M. Dumont-Lagac eacute, A. Feghaly, Y. Benslimane, R. Panes, M. Courcelles, M. Benhammadi, L. Harrington, P. Thibault, F. Major, Y. Bengio, E. Gagnon, S. Lemieux and C. Perreault
bioRxiv
(2020-06-04)
biorxiv.orgPDF
Operation Merging for Hardware Implementations of Fast Polar Decoders
Furkan Ercan, Thibaud Tonnellier, Carlo Condo and Warren J. Gross
arXiv preprint arXiv:2006.02012
(2020-06-03)
ui.adsabs.harvard.eduPDF
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel and Adam M. Oberman
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.
Christian Weilbach, Boyan Beronov, Frank Wood and William Harvey
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF
Coping With Simulators That Don't Always Return.
Andrew Warrington, Saeid Naderiparizi and Frank Wood
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stephane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Fŕenoy... (33 more)
Artificial Life
(2020-06-03)
direct.mit.edu
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui, Fan Zhou, Christian Gagné and Boyu Wang
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
Sharan Vaswani, Abbas Mehrabian, Audrey Durand and Branislav Kveton
The Neurobiology of Social Distance.
Danilo Bzdok and Robin I.M. Dunbar
Trends in Cognitive Sciences
(2020-06-03)
www.sciencedirect.com
LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads.
Christopher J. F. Cameron, Xue Q. D. Wang, Josée Dostie and Mathieu Blanchette
BMC Research Notes
(2020-06-03)
bmcresnotes.biomedcentral.comPDF
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare and David Silver
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.
Value Preserving State-Action Abstractions
David Abel, Nate Umbanhowar, Khimya Khetarpal, Dilip Arumugam, Doina Precup and Michael L. Littman
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF
Tensorized Random Projections
Beheshteh T. Rakhshan and Guillaume Rabusseau
GAIT: A Geometric Approach to Information Theory
Jose Gallego-Posada, Ankit Vani, Max Schwarzer and Simon Lacoste-Julien
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF
Accelerating Smooth Games by Manipulating Spectral Shapes.
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien and Gauthier Gidel
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation.
Si Yi Meng, Sharan Vaswani, Issam Hadj Laradji, Mark Schmidt and Simon Lacoste-Julien
On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio and Nicolas Le Roux
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF
Bayesian Neural Networks.
Tom Charnock, Laurence Perreault-Levasseur and François Lanusse
arXiv preprint arXiv:2006.01490
(2020-06-02)
ui.adsabs.harvard.eduPDF
Surprisal-Triggered Conditional Computation with Neural Networks
Loren Lugosch, Derek Nowrouzezahrai and Brett H. Meyer
arXiv preprint arXiv:2006.01659
(2020-06-02)
ui.adsabs.harvard.eduPDF
Training End-to-End Analog Neural Networks with Equilibrium Propagation.
Jack D. Kendall, Ross D. Pantone, Kalpana Manickavasagam, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2006.01981
(2020-06-02)
dblp.uni-trier.dePDF
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning
Chi Harold Liu, Xiaoxin Ma, Xudong Gao and Jian Tang
IEEE Transactions on Mobile Computing
(2020-06-01)
ieeexplore.ieee.org
Effects of feedback design and dispositional goal orientations on volunteer performance in citizen science projects
Xinxue Zhou, Jian Tang, Yuxiang (Chris) Zhao and Tianmei Wang
Computers in Human Behavior
(2020-06-01)
www.sciencedirect.com
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu and Jian Tang
NEURIPS 2020
(2020-06-01)
papers.nips.cc
A Rare Moment of Cross-Partisan Consensus: Elite and Public Response to the COVID-19 Pandemic in Canada
Eric Merkley, Aengus Bridgman, Peter John Loewen, Taylor Owen, Derek Ruths and Oleg Zhilin
Canadian Journal of Political Science
(2020-06-01)
www.cambridge.orgPDF
Restless bandits: Indexability and computation of Whittle index
Nima Akbarzadeh and Aditya Mahajan
Les Cahiers du GERAD
(2020-06-01)
www.gerad.ca[LATEST on None (2020-08-13)]
VoronoiNet: General Functional Approximators With Local Support
Francis Williams, Jerome Parent-Levesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi and Andrea Tagliasacchi
CVPR 2020
(2020-06-01)
nyuscholars.nyu.eduPDF
TimelyRep: Timing deterministic replay for Android web applications
Yanqiang Liu, Fangge Yan, Mingyuan Xia, Zhengwei Qi and Xue Liu
Software Testing, Verification & Reliability
(2020-06-01)
onlinelibrary.wiley.com
Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex
Pablo Billeke, Tomas Ossandon, Marcela Perrone-Bertolotti, Philippe Kahane, Julien Bastin, Karim Jerbi, Jean-Philippe Lachaux and Pablo Fuentealba
Cerebral Cortex
(2020-06-01)
academic.oup.com
A tutorial on recursive models for analyzing and predicting path choice behavior
Maëlle Zimmermann and Emma Frejinger
EURO Journal on Transportation and Logistics
(2020-06-01)
www.sciencedirect.com[Also on arXiv preprint arXiv:1905.00883 (2019-05-02)]
Machine Learning for COVID-19 needs global collaboration and data-sharing
Nathan Peiffer-Smadja, Redwan Maatoug, François Xavier Lescure, Eric D’Ortenzio, Joëlle Pineau and Jean Rémi King
Nature Machine Intelligence
(2020-06-01)
www.nature.com
CLAREL: Classification via Retrieval Loss for Zero-Shot Learning
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro and Christopher J. Pal
HNHN: Hypergraph Networks With Hyperedge Neurons
Yihe Dong, Will Sawin and Yoshua Bengio
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks
Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou and Yoshua Bengio
CVPR 2020
(2020-06-01)
www.computer.orgPDF

2020-05

Disentangling presentation and processing times in the brain
Laurent Caplette, Robin A.A. Ince, Karim Jerbi and Frédéric Gosselin
Social physiology" for psychiatric semiology: How TTOM can initiate an interactive turn for computational psychiatry?
Guillaume Dumas, Tudi Gozé and Jean-Arthur Micoulaud-Franchi
Behavioral and Brain Sciences
(2020-05-28)
www.ncbi.nlm.nih.gov
An ILP Model for Multi-Label MRFs With Connectivity Constraints
Ruobing Shen, Bo Tang, Andrea Lodi, Andrea Tramontani and Ismail Ben Ayed
IEEE Transactions on Image Processing
(2020-05-27)
ui.adsabs.harvard.eduPDF
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li and Tim Q Duong
arXiv preprint arXiv:2005.11856
(2020-05-24)
arxiv.orgPDF
Self-supervised Robust Object Detectors from Partially Labelled datasets.
Mahdieh Abbasi, Denis Laurendeau and Christian Gagne
arXiv preprint arXiv:2005.11549
(2020-05-23)
ui.adsabs.harvard.eduPDF
Inferring multimodal latent topics from electronic health records
Yue Li, Pratheeksha Nair, Xing Han Lu, Zhi Wen, Yuening Wang, Amir Ardalan Kalantari Dehaghi, Yan Miao, Weiqi Liu, Tamas Ordog, Joanna M. Biernacka, Euijung Ryu, Janet E. Olson, Mark A. Frye, Aihua Liu, Liming Guo, Ariane Marelli, Yuri Ahuja, Jose Davila-Velderrain and Manolis Kellis
Nature Communications
(2020-05-21)
europepmc.org
CNN to detect differences in cerebral cortical anatomy of left- and right- handers
Lisa Meyer-Baese, Erik Roecher, Lucas Moesch, Danilo Bzdok and Klaus Mathiak
Real-Time Image Processing and Deep Learning 2020
(2020-05-20)
www.spiedigitallibrary.org
Lessons in resilience: Canada's digital media ecosystem and the 2019 election
Aengus Bridgman, Robert Gorwa, Peter Loewen, Stephanie MacLellan, Eric Merkley, Taylor Owen, Derek Ruths and Oleg Zhilin
(venue unknown)
(2020-05-20)
apo.org.au
Failure to follow medication changes made at hospital discharge is associated with adverse events in 30 days
Daniala L. Weir, Aude Motulsky, Michal Abrahamowicz, Todd C. Lee, Steven Morgan, David L. Buckeridge and Robyn Tamblyn
Health Services Research
(2020-05-20)
doi.org
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Aaron Carass, Snehashis Roy, Adrian Gherman, Jacob C. Reinhold, Andrew Jesson, Tal Arbel, Oskar Maier, Heinz Handels, Mohsen Ghafoorian, Bram Platel, Ariel Birenbaum, Hayit Greenspan, Dzung L. Pham, Ciprian M. Crainiceanu, Peter A. Calabresi, Jerry L. Prince, William R. Gray Roncal, Russell T. Shinohara and Ipek Oguz
Scientific Reports
(2020-05-19)
europepmc.org
An Analysis of the Adaptation Speed of Causal Models
Rémi Le Priol, Reza Babanezhad, Yoshua Bengio and Simon Lacoste-Julien
AISTATS 2020
(2020-05-18)
proceedings.mlr.pressPDF
An Analysis of the Adaptation Speed of Causal Models
Rémi Le Priol, Reza Babanezhad Harikandeh, Yoshua Bengio and Simon Lacoste-Julien
arXiv preprint arXiv:2005.09136
(2020-05-18)
ui.adsabs.harvard.eduPDF
COVI White Paper.
Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck... (3 more)
arXiv preprint arXiv:2005.08502
(2020-05-18)
europepmc.orgPDF
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville and Eugene Belilovsky
Universal Dependencies 2.6
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Željko Agić, Lars Ahrenberg, Chika Kennedy Ajede, Gabrielė Aleksandravičiūtė, Lene Antonsen, Katya Aplonova, Angelina Aquino, Maria Jesus Aranzabe, Gashaw Arutie, Masayuki Asahara, Luma Ateyah, Furkan Atmaca, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus... (349 more)
(venue unknown)
(2020-05-15)
hdl.handle.net
The Human Dynamic Clamp Reveals the Fronto-Parietal Network Linking Real-Time Social Coordination and Cognition.
Guillaume Dumas, Q Moreau, E Tognoli and J A S Kelso
Cerebral Cortex
(2020-05-14)
academic.oup.com
Predictive Pattern Classification Can Distinguish Gender Identity Subtypes from Behavior and Brain Imaging.
Benjamin Clemens, Birgit Derntl, Elke Smith, Jessica Junger, Josef Neulen, Gianluca Mingoia, Frank Schneider, Ted Abel, Danilo Bzdok and Ute Habel
Cerebral Cortex
(2020-05-14)
academic.oup.comPDF
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba
Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation
Andrew Holliday and Gregory Dudek
CRV 2020
(2020-05-13)
doi.org
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
Stefan Horoi, Victor Geadah, Guy Wolf and Guillaume Lajoie
AI 2020
(2020-05-13)
link.springer.com
Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation
Wei Wang, Chuang Wang, Tao Cui and Yue Li
IEEE Access
(2020-05-11)
doi.org
Differential functional neural circuitry behind autism subtypes with marked imbalance between social-communicative and restricted repetitive behavior symptom domains
Natasha Bertelsen, Isotta Landi, Richard A. I. Bethlehem, Jakob Seidlitz, Elena Maria Busuoli, Veronica Mandelli, Eleonora Satta, Stavros Trakoshis, Bonnie Auyeung, Prantik Kundu, Eva Loth, Guillaume Dumas, Sarah Baumeister, Christian F. Beckmann, Sven Bölte, Thomas Bourgeron, Tony Charman, Sarah Durston, Christine Ecker, Rosemary Holt... (15 more)
bioRxiv
(2020-05-10)
www.biorxiv.orgPDF
An Empirical Study of Human Behavioral Agents in Bandits, Contextual Bandits and Reinforcement Learning
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf, Jenna Reinen and Irina Rish
arXiv: Artificial Intelligence
(2020-05-10)
ui.adsabs.harvard.eduPDF
Delayed Rejection Metropolis Light Transport
Damien Rioux-Lavoie, Joey Litalien, Adrien Gruson, Toshiya Hachisuka and Derek Nowrouzezahrai
ACM Transactions on Graphics
(2020-05-10)
dl.acm.org
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen and Irina Rish
(venue unknown)
(2020-05-10)
dblp.uni-trier.de
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models.
Xinlian Yu, Tien Mai, Jing Ding-Mastera, Song Gao and Emma Frejinger
arXiv e-prints
(2020-05-08)
ui.adsabs.harvard.eduPDF
Young Chinese Consumers’ Choice between Product-Related and Sustainable Cues—The Effects of Gender Differences and Consumer Innovativeness
Osmud Rahman, Benjamin C.M. Fung and Zhimin Chen
Sustainability
(2020-05-07)
e-space.mmu.ac.uk
Decoupling of Gd–Cr magnetism and giant magnetocaloric effect in layered honeycomb tellurate GdCrTeO6
J. D. Liu, Z. W. Ouyang, X. C. Liu, J. J. Cao, Z. X. Wang, Z. C. Xia and G. H. Rao
Journal of Applied Physics
(2020-05-07)
ui.adsabs.harvard.edu
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation
Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang and Doina Precup
TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST X-RAYS: INITIAL ACCURACY TESTING
S. Duchesne, D. Gourdeau, P. Archambault, C. Chartrand-Lefebvre, L. Dieumegarde, R. Forghani, C. Gagné, A. Hains, D. Hornstein, H. Le, S. Lemieux, M.H. Lévesque, D. Martin, L. Rosenbloom, A. Tang, F. Vecchio, O. Potvin and N. Duchesne
medRxiv
(2020-05-05)
www.medrxiv.orgPDF
Option-Critic in Cooperative Multi-agent Systems
Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu and Doina Precup
AAMAS 2020
(2020-05-05)
ui.adsabs.harvard.edu
Gifting in Multi-Agent Reinforcement Learning
Andrei Lupu and Doina Precup
AAMAS 2020
(2020-05-05)
dl.acm.org
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf, Jenna Reinen and Irina Rish
AAMAS 2020
(2020-05-05)
dl.acm.org
Two-Step Sound Source Separation: Training On Learned Latent Targets
Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Cem Subakan and Paris Smaragdis
ICASSP 2020
(2020-05-04)
ui.adsabs.harvard.eduPDF
Two-Step Sound Source Separation: Training On Learned Latent Targets
Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Cem Subakan and Paris Smaragdis
ICASSP 2020
(2020-05-04)
doi.orgPDF
Lookahead Converges to Stationary Points of Smooth Non-convex Functions
Jianyu Wang, Vinayak Tantia, Nicolas Ballas and Michael Rabbat
ICASSP 2020
(2020-05-04)
doi.org
Simplified Dynamic SC-Flip Polar Decoding
Furkan Ercan, Thibaud Tonnellier, Nghia Doan and Warren J. Gross
ICASSP 2020
(2020-05-04)
ieeexplore.ieee.org
Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models
Loren Lugosch, Brett H. Meyer, Derek Nowrouzezahrai and Mirco Ravanelli
Words aren’t enough, their order matters: on the robustness of grounding visual referring expressions
Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu and Siva Reddy
Deep Geometric Knowledge Distillation with Graphs
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega
RISC-V Barrel Processor for Accelerator Control
MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria and Jean-Pierre David
FCCM 2020
(2020-05-03)
ieeexplore.ieee.org
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Alex Zwanenburg, Martin Vallières, Mahmoud A. Abdalah, Hugo J. W. L. Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Spyridon Bakas, Roelof J. Beukinga, Ronald Boellaard, Marta Bogowicz, Luca Boldrini, Irène Buvat, Gary J. R. Cook, Christos Davatzikos, Adrien Depeursinge, Marie-Charlotte Desseroit, Nicola Dinapoli, Cuong Viet Dinh, Sebastian Echegaray... (43 more)
Radiology
(2020-05-01)
europepmc.orgPDF
An Efficient Software List Sphere Decoder for Polar Codes
Huayi Zhou, Yuxiang Fu, Zaichen Zhang, Warren J. Gross, Xiaohu You and Chuan Zhang
Journal of Signal Processing Systems
(2020-05-01)
link.springer.com
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
Yue Dong, Andrei Mircea and Jackie C. K. Cheung
arXiv: Computation and Language
(2020-05-01)
ui.adsabs.harvard.eduPDF
View-Invariant Loop Closure with Oriented Semantic Landmarks
Jimmy Li, Karim Koreitem, David Meger and Gregory Dudek
ICRA 2020
(2020-05-01)
doi.org
∇SLAM: Dense SLAM meets Automatic Differentiation
Krishna Murthy Jatavallabhula, Ganesh Iyer and Liam Paull
ICRA 2020
(2020-05-01)
onikle.com
De-Aliasing States In Dialogue Modelling With Inverse Reinforcement Learning
Layla El Asri, Adam Trischler and Geoff Gordon
(venue unknown)
(2020-05-01)
www.microsoft.com
Machine and deep learning methods for radiomics.
Michele Avanzo, Lise Wei, Joseph Stancanello, Martin Vallières, Arvind Rao, Olivier Morin, Sarah A. Mattonen and Issam El Naqa
Medical Physics
(2020-05-01)
aapm.onlinelibrary.wiley.com
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand and Luc Lamontagne
In-Hardware Training Chip Based on CMOS Invertible Logic for Machine Learning
Naoya Onizawa, Sean C. Smithson, Brett H. Meyer, Warren J. Gross and Takahiro Hanyu
IEEE Transactions on Circuits and Systems I-regular Papers
(2020-05-01)
ieeexplore.ieee.org
Remote Estimation Over a Packet-Drop Channel With Markovian State
Jhelum Chakravorty and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-05-01)
ieeexplore.ieee.orgPDF
General Principles of Gene Dosage Effects on Brain Structure
Claudia Modenato, Kuldeep Kumar, Clara Moreau, Catherine Schramm, Guillaume Huguet, Sandra Martin-Brevet, Aurélie Pain, Anne Maillard, Sonia Richetin, Borja Rodriguez-Herreros, Lester Melie-Garcia, Ana Dos Santos Silva, Marianne Van Den Bree, David Linden, Carrie E. Bearden, Danilo Bzdok, Sarah Lippé, Mallar Chakravarty, Bogdan Draganski and Sébastien Jacquemont
Biological Psychiatry
(2020-05-01)
api.elsevier.com
What Can Machine Learning Do for Psychiatry
Daniel Barron, Danilo Bzdok, John H. Krystal and R. Todd Constable
Biological Psychiatry
(2020-05-01)
api.elsevier.com
An Efficient Transport Estimator for Complex Layered Materials
Luis E. Gamboa, Adrien Gruson and Derek Nowrouzezahrai
Computer Graphics Forum
(2020-05-01)
diglib.eg.org
Local Bases for Model‐reduced Smoke Simulations
Olivier Mercier and Derek Nowrouzezahrai
Computer Graphics Forum
(2020-05-01)
onlinelibrary.wiley.com
$${\textsf {SecDM}}$$SecDM: privacy-preserving data outsourcing framework with differential privacy
Gaby G. Dagher, Benjamin C. M. Fung, Noman Mohammed and Jeremy Clark
Knowledge and Information Systems
(2020-05-01)
link.springer.com
Depth Prediction for Monocular Direct Visual Odometry
Ran Cheng, Christopher Agia, David Meger and Gregory Dudek
CRV 2020
(2020-05-01)
www.computer.org
Route choice behaviour and travel information in a congested network: Static and dynamic recursive models
Giselle de Moraes Ramos, Tien Mai, Winnie Daamen, Emma Frejinger and S.P. Hoogendoorn
Transportation Research Part C-emerging Technologies
(2020-05-01)
www.sciencedirect.comPDF
Systems Consolidation Impairs Behavioral Flexibility
Sankirthana Sathiyakumar, Sofia Skromne Carrasco, Lydia Saad and Blake A. Richards
Learning & Memory
(2020-05-01)
learnmem.cshlp.orgPDF
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
Yue Dong, Andrei Romascanu and Jackie Chi Kit Cheung
arXiv: Computation and Language
(2020-05-01)
dblp.uni-trier.dePDF

2020-04

Locality and Compositionality in Zero-Shot Learning
Tristan Sylvain, Linda Petrini and Devon Hjelm
SYSTEM AND METHOD FOR CROSS-DOMAIN TRANSFERABLE NEURAL COHERENCE MODEL
Cao Yanshuai, Xu Peng Z, Saghir Hamidreza, Kang Jin Sung, Long Leo and Cheung Jackie C K
(venue unknown)
(2020-04-30)
lens.org
SloMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas and Michael Rabbat
ICLR 2020
(2020-04-30)
iclr.ccPDF
Autism spectrum heterogeneity: fact or artifact?
Laurent Mottron and Danilo Bzdok
Molecular Psychiatry
(2020-04-30)
europepmc.org
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan and Milad Hashemi
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol and Hugo Larochelle
Conditional Learning of Fair Representations
Han Zhao, Amanda Coston, Tameem Adel and Geoffrey J. Gordon
Spike-based causal inference for weight alignment
Jordan Guerguiev, Konrad Kording and Blake Richards
On the interaction between supervision and self-play in emergent communication
Ryan Lowe, Abhinav Gupta, Jakob Foerster, Douwe Kiela and Joelle Pineau
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffman, Vikas Verma and Jian Tang
ICLR 2020
(2020-04-30)
iclr.cc
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang and Jian Tang
Language GANs Falling Short
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau and Laurent Charlin
Reinforced active learning for image segmentation
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh and Christopher J. Pal
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Christian Rupprecht, Cyril Ibrahim and Christopher J. Pal
Gradient-Based Neural DAG Learning
Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu and Simon Lacoste-Julien
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent and Simon Lacoste-Julien
On Bonus Based Exploration Methods In The Arcade Learning Environment
Adrien Ali Taiga, William Fedus, Marlos C. Machado, Aaron Courville and Marc G. Bellemare
Learning the Arrow of Time for Problems in Reinforcement Learning
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme and Yoshua Bengio
ICLR 2020
(2020-04-30)
dblp.uni-trier.dePDF
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sebastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
ICLR 2020
(2020-04-30)
iclr.ccPDF
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Anirudh Goyal, Yoshua Bengio, Matthew Botvinick and Sergey Levine
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine and Yoshua Bengio
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2005.04169
(2020-04-29)
ui.adsabs.harvard.eduPDF
sistemas e métodos para realizar otimização bayesiana
Hugo Larochelle, Kevin Swersky, Richard Zemel, Roland Jasper Snoek and Ryan P Adams
(venue unknown)
(2020-04-28)
lens.org
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer and Joseph Paul Cohen
Interpretable Neuron Structuring with Graph Spectral Regularization.
Alexander Tong, David van Dijk, Jay S. Stanley, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf and Smita Krishnaswamy
IDA 2020
(2020-04-27)
europepmc.orgPDF
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:2004.12485
(2020-04-26)
ui.adsabs.harvard.eduPDF
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Mohammad Afshari and Aditya Mahajan
arxiv:eess.SY
(2020-04-24)
ui.adsabs.harvard.eduPDF
Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”
Miguel F. Anjos, Fabian Bastin, Sébastien Le Digabel and Andrea Lodi
Infor
(2020-04-24)
www.tandfonline.com
Predictive inference for travel time on transportation networks
Mohamad Elmasri, Aurelie Labbe, Denis Larocque and Laurent Charlin
arXiv preprint arXiv:2004.11292
(2020-04-23)
ui.adsabs.harvard.eduPDF
Prediction intervals for travel time on transportation networks
Mohamad Elmasri, Aurelie Labbe, Denis Larocque and Laurent Charlin
(venue unknown)
(2020-04-23)
Glossary for public health surveillance in the age of data science
Arnaud Chiolero and David Buckeridge
Journal of Epidemiology and Community Health
(2020-04-23)
www.scilit.netPDF
Inference for travel time on transportation networks
Mohamad Elmasri, Aurelie Labbe, Denis Larocque and Laurent Charlin
arXiv: Methodology
(2020-04-23)
arxiv.org
Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex.
Hyun Jae Jang, Hyowon Chung, James M. Rowland, Blake A. Richards, Michael M. Kohl and Jeehyun Kwag
Science Advances
(2020-04-22)
europepmc.orgPDF
Meta-analytic evidence for a joint neural mechanism underlying response inhibition and state anger.
Andrei Alexandru Puiu, Olga Wudarczyk, Gregor Kohls, Danilo Bzdok, Beate Herpertz‐Dahlmann and Kerstin Konrad
Human Brain Mapping
(2020-04-21)
www.ncbi.nlm.nih.gov
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models
Wenting Wang, Deeksha Arya, Nicole Novielli, Jinghui Cheng and Jin L.C. Guo
Experience Grounds Language
Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto and Joseph P. Turian
FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation
Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu and Gregory Dudek
WWW 2020
(2020-04-20)
dl.acm.org
Two-Step Sound Source Separation: Training on Learned Latent Targets (Presentation)
Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Cem Subakan and Paris Smaragdis
(venue unknown)
(2020-04-20)
sigport.org
Role-Wise Data Augmentation for Knowledge Distillation.
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal and Hao Dong
arXiv preprint arXiv:2004.08861
(2020-04-19)
ui.adsabs.harvard.eduPDF
Neuropsychiatric copy number variants exert shared effects on human brain structure
Modenato C, Kumar K, Moreau C, Martin-Brevet S, Huguet G, Schramm C, Martineau J, Martin C, Younis N, Tamer P, Douard E, Thébault-Dagher F, Côté, Charlebois A, Deguire F, Maillard Am, Rodriguez-Herreros B, Pain A, Richetin S, Kushan L... (12 more)
medRxiv
(2020-04-17)
europepmc.orgPDF
Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.
Ianto Lin Xi, Yijun Zhao, Robin Wang, Marcello Chang, Subhanik Purkayastha, Ken Chang, Raymond Y. Huang, Alvin C. Silva, Martin Valliéres, Peiman Habibollahi, Yong Fan, Beiji Zou, Terence P. Gade, Paul J. Zhang, Michael C. Soulen, Zishu Zhang, Harrison X. Bai and S. William Stavropoulos
Clinical Cancer Research
(2020-04-15)
europepmc.orgPDF
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensbold, Cullen O'Keefe, Mark Koren, Theo Ryffel... (39 more)
arXiv preprint arXiv:2004.07213
(2020-04-15)
ui.adsabs.harvard.eduPDF
Efficient Sphere Polar Decoding via Synchronous Determination
Huayi Zhou, Warren J. Gross, Zaichen Zhang, Xiaohu You and Chuan Zhang
IEEE Transactions on Vehicular Technology
(2020-04-13)
ieeexplore.ieee.org
Analysing brain networks in population neuroscience: a case for the Bayesian philosophy
Danilo Bzdok, Dorothea L Floris and Andre F Marquand
Philosophical Transactions of the Royal Society B
(2020-04-13)
europepmc.orgPDF
Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
Samuel Laferriere, Marco Bonizzato, Sandrine L. Cote, Numa Dancause and Guillaume Lajoie
EMBC 2020
(2020-04-13)
ieeexplore.ieee.org
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
Travis Manderson, Stefan Wapnick, David Meger and Gregory Dudek
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
Hao-Ting Wang, Jonathan Smallwood, Janaina Mourao-Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett and Danilo Bzdok
NeuroImage
(2020-04-08)
europepmc.orgPDF
Can EEG and MEG detect signals from the human cerebellum
Lau M. Andersen, Karim Jerbi and Sarang S. Dalal
NeuroImage
(2020-04-08)
europepmc.org
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang and Jieping Ye
Domain Conditioned Adaptation Network.
Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang and Jian Tang
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren and Yanzhi Wang
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg and Aram Galstyan
AAAI 2020
(2020-04-03)
aaai.orgPDF
Improved PAC-Bayesian Bounds for Linear Regression
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain and Mihaly Petreczky
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images
Nazanin Mohammadi Sepahvand, Douglas L. Arnold and Tal Arbel
ISBI 2020
(2020-04-03)
doi.org
Memory Augmented Graph Neural Networks for Sequential Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu and Mark Coates
Count-Based Exploration with the Successor Representation
Marlos C. Machado, Marc G. Bellemare and Michael Bowling
AAAI 2020
(2020-04-03)
aaai.orgPDF
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
Borui Wang and Geoffrey Gordon
AAAI 2020
(2020-04-03)
aaai.org
Gifting in Multi-Agent Reinforcement Learning (Student Abstract)
Andrei Lupu and Doina Precup
AAAI 2020
(2020-04-03)
aaai.org
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction.
Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup and Marc G. Bellemare
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract)
Qizhen Zhang, Audrey Durand and Joelle Pineau
AAAI 2020
(2020-04-03)
aiide.org
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford and Joelle Pineau
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal and Jiancheng Lv
Options of Interest: Temporal Abstraction with Interest Functions
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon and Doina Precup
Detecting Semantic Anomalies
Faruk Ahmed and Aaron C. Courville
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
Konrad Żołna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
AAAI 2020
(2020-04-03)
aaai.orgPDF
BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.
Konrad Wagstyl, Stéphanie Larocque, Guillem Cucurull, Claude Lepage, Joseph Paul Cohen, Sebastian Bludau, Nicola Palomero-Gallagher, Lindsay B. Lewis, Thomas Funck, Hannah Spitzer, Timo Dickscheid, Paul C. Fletcher, Adriana Romero, Karl Zilles, Katrin Amunts, Yoshua Bengio and Alan C. Evans
METHOD AND APPARATUS FOR WIRELESSLY COMMUNICATING OVER A NOISY CHANNEL WITH A VARIABLE CODEWORD LENGTH POLAR CODE TO IMPROVE TRANSMISSION CAPACITY
Gross Warren Jeffrey, Cavatassi Adam Christian, Tonnellier Thibaud and Ge Yiqun
(venue unknown)
(2020-04-02)
lens.org
Fast protein database as a service with kAAmer
Maxime Deraspe, Sebastien Boisvert, Francois Laviolette, Paul H Roy and Jacques Corbeil
bioRxiv
(2020-04-02)
www.biorxiv.orgPDF
Deep LDA-pruned nets and their robustness
Qing Tian, Tal Arbel and James J. Clark
Les Cahiers du GERAD
(2020-04-01)
www.gerad.ca
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
Moses Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull and Daniela L Rus
Other repository
(2020-04-01)
dspace.mit.edu
A Multimodal Non-Intrusive Stress Monitoring from the Pleasure-Arousal Emotional Dimensions
Mohamed Dahmane, Jahangir Alam, Pierre-Luc St-Charles, Marc Lalonde, Kevin Heffner and Samuel Foucher
IEEE Transactions on Affective Computing
(2020-04-01)
www.computer.org
Proceedings of the Edge Intelligence Workshop, Montréal, Canada, March 2--3, 2020
Charles Audet, Sébastien Le Digabel, Andrea Lodi, Dominique Orban and Vahid Partovi Nia
Les Cahiers du GERAD
(2020-04-01)
www.gerad.ca
Decision letter: Population coupling predicts the plasticity of stimulus responses in cortical circuits
Blake A Richards and Brent Doiron
eLife
(2020-04-01)
dx.doi.org
Machine learning-based models of sawmills for better wood allocation planning
Michael Morin, Jonathan Gaudreault, Edith Brotherton, Frédérik Paradis, Amélie Rolland, Jean Wery and François Laviolette
International Journal of Production Economics
(2020-04-01)
www.sciencedirect.com
High-Throughput Low-Latency Encoder and Decoder for a Class of Generalized Reed–Solomon Codes for Short-Reach Optical Communications
Bo Zheng, Carlo Condo, Warren J. Gross and Odile Liboiron-Ladouceur
IEEE Transactions on Circuits and Systems Ii-express Briefs
(2020-04-01)
ieeexplore.ieee.org
GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution
Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin Guo and Kenichi Matsumoto
arXiv preprint arXiv:2004.00199
(2020-04-01)
ui.adsabs.harvard.eduPDF
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes
Davide Falessi, Justin Roll, Jin L.C. Guo and Jane Cleland-Huang
IEEE Transactions on Software Engineering
(2020-04-01)
ieeexplore.ieee.orgPDF
The Covering-Assignment Problem for swarm-powered ad-hoc clouds: A distributed 3D mapping use-case
Leandro R. Costa, Daniel Aloise, Luca G. Gianoli and Andrea Lodi
Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem
Jaime E. González, André Augusto Ciré, Andrea Lodi and Louis-Martin Rousseau
Constraints - An International Journal
(2020-04-01)
link.springer.com
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull and Daniela Rus
ICRA 2020
(2020-04-01)
ieeexplore.ieee.org

2020-03

Load-balancing rendezvous approach for mobility-enabled adaptive energy-efficient data collection in WSNs
Jian Zhang, Jian Tang, Zhonghui Wang, Feng Wang and Gang Yu
Ksii Transactions on Internet and Information Systems
(2020-03-31)
itiis.orgPDF
Both New and Chronic Potentially Inappropriate Medications Continued at Hospital Discharge Are Associated With Increased Risk of Adverse Events.
Daniala L. Weir, Todd C. Lee, Emily G. McDonald, Aude Motulsky, Michal Abrahamowicz, Steven Morgan, David Buckeridge and Robyn Tamblyn
Journal of the American Geriatrics Society
(2020-03-31)
www.scilit.netPDF
Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby and Irina Rish
arXiv preprint arXiv:2004.00161
(2020-03-31)
ui.adsabs.harvard.eduPDF
Planning as Inference in Epidemiological Models
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov and Ali Nasseri
arXiv preprint arXiv:2003.13221
(2020-03-30)
europepmc.orgPDF
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron Courville
arXiv: Artificial Intelligence
(2020-03-28)
ui.adsabs.harvard.eduPDF
Overview of the TREC 2019 Fair Ranking Track. (arXiv:2003.11650v1 [cs.IR])
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand and Sebastian Kohlmeier
arXiv Computer Science
(2020-03-27)
Multi-scale network regression for brain-phenotype associations.
Cedric Huchuan Xia, Zongming Ma, Zaixu Cui, Danilo Bzdok, Bertrand Thirion, Danielle S. Bassett, Theodore D. Satterthwaite, Russell T. Shinohara and Daniela M. Witten
Human Brain Mapping
(2020-03-26)
europepmc.orgPDF
On-the-Fly Adaptation of Source Code Models using Meta-Learning
Disha Shrivastava, Hugo Larochelle and Daniel Tarlow
arXiv: Learning
(2020-03-26)
ui.adsabs.harvard.eduPDF
On challenges in training recurrent neural networks
Anbil Parthipan and Sarath Chandar
(venue unknown)
(2020-03-25)
papyrus.bib.umontreal.ca
Towards Understanding Generalization in Gradient-Based Meta-Learning
Simon Guiroy, Vikas Verma and Christopher J. Pal
arXiv preprint arXiv:1907.07287
(2020-03-25)
papyrus.bib.umontreal.caPDF
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
Hansenclever F. Bassani, Renie A. Delgado, Jose Nilton de O. Lima Junior, Heitor R. Medeiros, Pedro H. M. Braga and Alain Tapp
arXiv preprint arXiv:2003.11102
(2020-03-24)
ui.adsabs.harvard.eduPDF
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min, Frederik Wenkel and Guy Wolf
Object-Centric Image Generation from Layouts
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm and Shikhar Sharma
On the Morality of Artificial Intelligence [Commentary]
Alexandra Luccioni and Yoshua Bengio
IEEE Technology and Society Magazine
(2020-03-13)
doi.org
Invariant Causal Prediction for Block MDPs.
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal and Doina Precup
arXiv preprint arXiv:2003.06016
(2020-03-12)
ui.adsabs.harvard.eduPDF
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam Laradji, Irina Rish, Alexandre Lacoste, David Vazquez and Laurent Charlin
arXiv: Artificial Intelligence
(2020-03-12)
arxiv.orgPDF
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao and Yoshua Bengio
DIBS: Diversity inducing Information Bottleneck in Model Ensembles. (arXiv:2003.04514v1 [cs.LG])
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg and Florian Shkurti
arXiv Computer Science
(2020-03-11)
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. (arXiv:2003.04475v1 [cs.LG])
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang and Geoff Gordon
arXiv Computer Science
(2020-03-11)
Inter-dependent Centrosomal Co-localization of the cen and ik2 cis-Natural Antisense mRNAs in Drosophila
Julie Bergalet, Dhara Patel, Félix Legendre, Catherine Lapointe, Louis Philip Benoit Bouvrette, Ashley Chin, Mathieu Blanchette, Eunjeong Kwon and Eric Lécuyer
Cell Reports
(2020-03-10)
www.sciencedirect.com
Diversity inducing Information Bottleneck in Model Ensembles.
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg and Florian Shkurti
arXiv preprint arXiv:2003.04514
(2020-03-10)
ui.adsabs.harvard.eduPDF
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet, Han Zhao, Yu-Xiang Wang and Geoff Gordon
arXiv preprint arXiv:2003.04475
(2020-03-10)
ui.adsabs.harvard.eduPDF
Probabilistic sequential multi-objective optimization of convolutional neural networks
Zixuan Yin, Warren Gross and Brett H. Meyer
DATE 2020
(2020-03-09)
dblp.uni-trier.de
The Residence History Inference Problem.
Derek Ruths and Caitrin Armstrong
arXiv preprint arXiv:2003.04155
(2020-03-09)
ui.adsabs.harvard.eduPDF
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
Ahmed Touati, Adrien Ali Taiga and Marc G. Bellemare
arXiv preprint arXiv:2003.04069
(2020-03-09)
ui.adsabs.harvard.eduPDF
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao, Xiang Jiang, Mohammad Havaei and Yoshua Bengio
arXiv preprint arXiv:2003.04382
(2020-03-09)
ui.adsabs.harvard.eduPDF
Not one model fits all: unfairness in RSFC-based prediction of behavioral data in African American
Jingwei Li, Danilo Bzdok, Avram Holmes, Thomas Yeo and Sarah Genon
(venue unknown)
(2020-03-05)
orbi.uliege.be
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features.
Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin and Erik Scheme
Frontiers in Bioengineering and Biotechnology
(2020-03-03)
europepmc.org[Also on arXiv preprint arXiv:1912.00283 (2019-11-30)]
A cross-national study of young female consumer behaviour, innovativeness and apparel evaluation: China and India
Osmud Rahman, Zhimin Chen, Benjamin C. M. Fung and Devender Kharb
Journal of The Textile Institute
(2020-03-03)
www.tandfonline.com
Curriculum By Texture.
Samarth Sinha, Animesh Garg and Hugo Larochelle
(venue unknown)
(2020-03-03)
dblp.uni-trier.dePDF
Hemispheric specialization within the human inferior parietal lobe across cognitive domains
Ole Numssen, Danilo Bzdok and Gesa Hartwigsen
eLife
(2020-03-02)
pure.mpg.de
Asynchronous Gradient-Push
Mahmoud Assran and Michael Rabbat
IEEE Transactions on Automatic Control
(2020-03-02)
xplorestaging.ieee.org
Tensor Networks for Language Modeling.
Jacob Miller, Guillaume Rabusseau and John Terilla
(venue unknown)
(2020-03-02)
dblp.uni-trier.de
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning.
Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata and Guillaume Rabusseau
arXiv preprint arXiv:2003.01181
(2020-03-02)
ui.adsabs.harvard.eduPDF
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio and Xavier Bresson
arXiv preprint arXiv:2003.00982
(2020-03-02)
ui.adsabs.harvard.eduPDF
Adversarial Attacks and Defenses in Deep Learning
Kui Ren, Tianhang Zheng, Zhan Qin and Xue Liu
Engineering
(2020-03-01)
doaj.org
10,000 social brains: sex differentiation in human brain anatomy
Hannah Kiesow, Robin I. M. Dunbar, Joseph W. Kable, Tobias Kalenscher, Kai Vogeley, Leonhard Schilbach, Andre F. Marquand, Thomas V. Wiecki and Danilo Bzdok
Science Advances
(2020-03-01)
ui.adsabs.harvard.eduPDF
Systematic approach to provide building occupants with feedback to reduce energy consumption
Milad Ashouri, Benjamin C.M. Fung, Fariborz Haghighat and Hiroshi Yoshino
Energy
(2020-03-01)
www.sciencedirect.com
Detecting breaking news rumors of emerging topics in social media
Sarah A. Alkhodair, Steven H.H. Ding, Benjamin C.M. Fung and Junqiang Liu
Information Processing and Management
(2020-03-01)
www.sciencedirect.com
Joint location and pricing within a user-optimized environment
Teodora Dan, Andrea Lodi and Patrice Marcotte
EURO Journal on Computational Optimization
(2020-03-01)
link.springer.com
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare and Michael Bowling
Artificial Intelligence
(2020-03-01)
www.sciencedirect.comPDF
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting
Di Wu, Boyu Wang, Doina Precup and Benoit Boulet
IEEE Transactions on Smart Grid
(2020-03-01)
ieeexplore.ieee.org

2020-02

Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
Sameer Sardaar, Bill Qi, Alexandre Dionne-Laporte, Guy. A. Rouleau, Reihaneh Rabbany and Yannis J. Trakadis
BMC Psychiatry
(2020-02-28)
bmcpsychiatry.biomedcentral.comPDF
The importance of transparency and reproducibility in artificial intelligence research
Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Levi Waldron, Bo Wang, Chris McIntosh, Anshul Kundaje, Casey S. Greene, Michael M. Hoffman, Jeffrey T. Leek, Wolfgang Huber, Alvis Brazma, Joelle Pineau, Robert Tibshirani, Trevor Hastie, John P.A. Ioannidis, John Quackenbush and Hugo J.W.L. Aerts
arXiv preprint arXiv:2003.00898
(2020-02-28)
ui.adsabs.harvard.eduPDF
PAC-Bayes and Domain Adaptation
Pascal Germain, Amaury Habrard, François Laviolette and Emilie Morvant
Neurocomputing
(2020-02-28)
www.sciencedirect.comPDF
Policy Evaluation Networks.
Jean Harb, Tom Schaul, Doina Precup and Pierre-Luc Bacon
arXiv preprint arXiv:2002.11833
(2020-02-26)
ui.adsabs.harvard.eduPDF
Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models
Chin-Wei Huang, Laurent Dinh and Aaron Courville
ICLR 2020
(2020-02-26)
openreview.netPDF
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. (arXiv:2001.07710v2 [cs.CV] UPDATED)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren and Yanzhi Wang
arXiv Computer Science
(2020-02-25)
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. (arXiv:2001.08357v2 [cs.LG] UPDATED)
Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren and Yanzhi Wang
arXiv Computer Science
(2020-02-25)
Fasting alters the gut microbiome with sustained blood pressure and body weight reduction in metabolic syndrome patients
András Balogh, Hendrik Bartolomaeus, Ulrike Löber, Ellen G. Avery, Nico Steckhan, Lajos Markó, Nicola Wilck, Ibrahim Hamad, Urša Šušnjar, Anja Mähler, Christoph Hohmann, Holger Cramer, Gustav Dobos, Till Robin Lesker, Till Strowig, Ralf Dechend, Danilo Bzdok, Markus Kleinewietfeld, Andreas Michalsen, Dominik N. Müller... (1 more)
medRxiv
(2020-02-25)
www.medrxiv.org
RADICL-seq identifies general and cell type-specific principles of genome-wide RNA-chromatin interactions
Alessandro Bonetti, Federico Agostini, Ana Maria Suzuki, Kosuke Hashimoto, Giovanni Pascarella, Juliette Gimenez, Leonie Roos, Alex J. Nash, Marco Ghilotti, Christopher J. F. Cameron, Matthew Valentine, Yulia A. Medvedeva, Shuhei Noguchi, Eneritz Agirre, Kaori Kashi, Samudyata, Joachim Luginbühl, Riccardo Cazzoli, Saumya Agrawal, Nicholas M. Luscombe... (9 more)
Nature Communications
(2020-02-24)
doaj.orgPDF[Also on bioRxiv (2019-06-27)]
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic.
Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai and Joelle Pineau
arXiv preprint arXiv:2002.10525
(2020-02-24)
ui.adsabs.harvard.eduPDF
Automatic generation of specialized direct convolutions for mobile GPUs
Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael O'Boyle and Christophe Dubach
PPOPP 2020
(2020-02-23)
www.research.ed.ac.ukPDF
High-level hardware feature extraction for GPU performance prediction of stencils
Toomas Remmelg, Bastian Hagedorn, Lu Li, Michel Steuwer, Sergei Gorlatch and Christophe Dubach
PPOPP 2020
(2020-02-23)
www.scilit.netPDF
Generating fast sparse matrix vector multiplication from a high level generic functional IR
Federico Pizzuti, Michel Steuwer and Christophe Dubach
CC 2020
(2020-02-22)
eprints.gla.ac.uk
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
(venue unknown)
(2020-02-21)
dblp.uni-trier.dePDF
On the impressive performance of randomly weighted encoders in summarization tasks.
Jonathan Pilault, Jaehong Park and Christopher J. Pal
arXiv preprint arXiv:2002.09084
(2020-02-21)
ui.adsabs.harvard.eduPDF
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions.
David Venuto, Jhelum Chakravorty, Leonard Boussioux, Junhao Wang, Gavin McCracken and Doina Precup
arXiv preprint arXiv:2002.09043
(2020-02-20)
ui.adsabs.harvard.eduPDF
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher and Yoshua Bengio
arXiv preprint arXiv:2002.09046
(2020-02-20)
ui.adsabs.harvard.eduPDF
Improving Policy-Capturing with Active Learning for Real-Time Decision Support
Bénédicte Chatelais, Daniel Lafond, Alexandre Hains and Christian Gagné
International Conference on Intelligent Human Systems Integration
(2020-02-19)
link.springer.com
The Geometry of Sign Gradient Descent
Lukas Balles, Fabian Pedregosa and Nicolas Le Roux
arXiv preprint arXiv:2002.08056
(2020-02-19)
ui.adsabs.harvard.eduPDF
Curriculum in Gradient-Based Meta-Reinforcement Learning.
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal and Liam Paull
arXiv preprint arXiv:2002.07956
(2020-02-19)
ui.adsabs.harvard.eduPDF
Generating Automatic Curricula via Self-Supervised Active Domain Randomization.
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo and Liam Paull
arXiv preprint arXiv:2002.07911
(2020-02-18)
ui.adsabs.harvard.eduPDF
Binaural Beats through the Auditory Pathway: From Brainstem to Connectivity Patterns.
Hector D Orozco Perez, Guillaume Dumas and Alexandre Lehmann
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
Mostafa ElAraby, Guy Wolf and Margarida Carvalho
arXiv preprint arXiv:2002.07259
(2020-02-17)
ui.adsabs.harvard.eduPDF
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models.
Chin-Wei Huang, Laurent Dinh and Aaron C. Courville
arXiv preprint arXiv:2002.07101
(2020-02-17)
ui.adsabs.harvard.eduPDF
Latent Variable Modelling with Hyperbolic Normalizing Flows
Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden and William L. Hamilton
arXiv preprint arXiv:2002.06336
(2020-02-15)
arxiv.orgPDF
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise and Yoshua Bengio
arXiv preprint arXiv:2002.06460
(2020-02-15)
ui.adsabs.harvard.eduPDF
DeepFood: Food Image Analysis and Dietary Assessment via Deep Model
Landu Jiang, Bojia Qiu, Xue Liu, Chenxi Huang and Kunhui Lin
IEEE Access
(2020-02-13)
doaj.org
Team Optimal Decentralized State Estimation of Linear Stochastic Processes by Agents with Non-Classical Information Structures.
Mohammad Afshari and Aditya Mahajan
arXiv: Systems and Control
(2020-02-11)
arxiv.orgPDF
Tradeoff Between Location Quality and Privacy in Crowdsensing: An Optimization Perspective
Yuhui Zhang, Ming Li, Dejun Yang, Jian Tang, Guoliang Xue and Jia Xu
IEEE Internet of Things Journal
(2020-02-10)
asu.pure.elsevier.com
Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
Victor Schmidt, Mustafa Alghali, Kris Sankaran, Tianle Yuan and Yoshua Bengio
arXiv preprint arXiv:2002.07579
(2020-02-10)
export.arxiv.orgPDF
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon and Andreas Moshovos
arXiv preprint arXiv:2002.03090
(2020-02-08)
dblp.uni-trier.dePDF
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir, Hadrien Bertrand and Joseph Paul Cohen
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces.
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup and Guillaume Rabusseau
arXiv preprint arXiv:2002.02863
(2020-02-07)
ui.adsabs.harvard.eduPDF
Input Dropout for Spatially Aligned Modalities
Sebastien de Blois, Mathieu Garon, Christian Gagne and Jean-Francois Lalonde
Provably efficient reconstruction of policy networks.
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup and Guillaume Rabusseau
arXiv: Learning
(2020-02-07)
dblp.uni-trier.dePDF
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
arXiv preprint arXiv:2002.02887
(2020-02-07)
ui.adsabs.harvard.eduPDF
Givs: Fine-Grained Gesture Control for Mobile Devices in Driving Environments
Landu Jiang, Mingyuan Xia, Xue Liu and Fan Bai
IEEE Access
(2020-02-05)
doaj.org
Exploring Structural Inductive Biases in Emergent Communication.
Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden and Christopher J. Pal
arXiv e-prints
(2020-02-04)
ui.adsabs.harvard.edu
Deep Learning Techniques for Decoding Polar Codes
Warren J. Gross, Nghia Doan, Elie Ngomseu Mambou and Seyyed Ali Hashemi
Machine Learning for Future Wireless Communications
(2020-02-03)
ieeexplore.ieee.org
Replication Packager for 'Generating Fast Sparse Matrix Vector Multiplicationfrom a High Level Generic Functional IR'
Federico Pizzuti, Michel Steuwer and Christophe Dubach
Artifact Digital Object Group
(2020-02-03)
dx.doi.org
An Efficient Software Stack Sphere Decoder for Polar Codes
Huayi Zhou, Wenqing Song, Warren J. Gross, Zaichen Zhang, Xiaohu You and Chuan Zhang
IEEE Transactions on Vehicular Technology
(2020-02-01)
ieeexplore.ieee.org
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng and B.T. Thomas Yeo
NeuroImage
(2020-02-01)
europepmc.orgPDF
Catalytic hydrolysis of microcystin-LR peptides on the surface of naturally occurring minerals
Yanfen Fang, Xinqiang Cao, Wei Zhou, Yue Li, David M. Johnson and Yingping Huang
Research on Chemical Intermediates
(2020-02-01)
link.springer.com
Efficient drone hijacking detection using two-step GA-XGBoost
Zhiwei Feng, Nan Guan, Mingsong Lv, Wenchen Liu, Qingxu Deng, Xue Liu and Wang Yi
Journal of Systems Architecture
(2020-02-01)
www.sciencedirect.com
Assessment of Extubation Readiness Using Spontaneous Breathing Trials in Extremely Preterm Neonates.
Wissam Shalish, Lara Kanbar, Lajos Kovacs, Sanjay Chawla, Martin Keszler, Smita Rao, Samantha Latremouille, Doina Precup, Karen Brown, Robert E Kearney and Guilherme M Sant'Anna
JAMA Pediatrics
(2020-02-01)
europepmc.orgPDF

2020-01

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky and Joelle Pineau
A white-light-emitting single MOF sensor-based array for berberine homologue discrimination
Qian Wang, Qiao Liu, Xiao-Meng Du, Bo Zhao, Yue Li and Wen-Juan Ruan
Journal of Materials Chemistry C
(2020-01-30)
pubs.rsc.org
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
Florian Knoll, Jure Zbontar, Anuroop Sriram, Matthew J Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzalv, Adriana Romero, Michael Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C Lawrence Zitnick... (3 more)
Radiology. Artificial intelligence
(2020-01-29)
europepmc.orgPDF
A luminescent MOF as a fluorescent sensor for the sequential detection of Al3+ and phenylpyruvic acid
Qian Wang, Xiao-Meng Du, Bo Zhao, Meili Pang, Yue Li and Wen-Juan Ruan
New Journal of Chemistry
(2020-01-27)
pubs.rsc.org
Resting-state connectivity stratifies premanifest Huntington's disease by longitudinal cognitive decline rate.
Pablo Polosecki, Eduardo Castro, Irina Rish, Dorian Pustina, John H. Warner, Andrew Wood, Cristina Sampaio and Guillermo A. Cecchi
Scientific Reports
(2020-01-27)
europepmc.org
Using Simulated Data to Generate Images of Climate Change
Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni and Yoshua Bengio
arXiv preprint arXiv:2001.09531
(2020-01-26)
ui.adsabs.harvard.eduPDF
Exploring Bayesian Deep Learning Uncertainty Measures for Segmentation of New Lesions in Longitudinal MRIs
Nazanin Mohammadi Sepahvand, Raghav Mehta, Douglas Lorne Arnold, Doina Precup and Tal Arbel
(venue unknown)
(2020-01-25)
openreview.netPDF
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks and Hadrien Bertrand
Uncertainty Evaluation Metric for Brain Tumour Segmentation.
Raghav Mehta, Angelos Filos, Yarin Gal and Tal Arbel
Multi-Task Self-Supervised Learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, Joao Monteiro, Jan Trmal and Yoshua Bengio
Towards Graph Representation Learning in Emergent Communication
Agnieszka Słowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik and Sean B. Holden
arXiv preprint arXiv:2001.09063
(2020-01-24)
ui.adsabs.harvard.eduPDF
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method
Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren and Yanzhi Wang
arXiv preprint arXiv:2001.08357
(2020-01-23)
ui.adsabs.harvard.eduPDF
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren and Yanzhi Wang
arXiv preprint arXiv:2001.07710
(2020-01-20)
ui.adsabs.harvard.eduPDF
Interactive Psychometrics for Autism with the Human Dynamic Clamp: Interpersonal Synchrony from Sensory-motor to Socio-cognitive Domains
Florence Baillin, Aline Lefebvre, Amandine Pedoux, Yann Beauxis, Denis Engemann, Anna Maruani, Frederique Amsellem, Thomas Bourgeron, Richard Delorme and Guillaume Dumas
Frontiers in Psychiatry
(2020-01-20)
www.frontiersin.orgPDF
Autism spectrum disorder.
Catherine Lord, Traolach S Brugha, Tony Charman, James Cusack, Guillaume Dumas, Thomas Frazier, Emily J H Jones, Rebecca M Jones, Andrew Pickles, Matthew W State, Julie Lounds Taylor and Jeremy Veenstra-VanderWeele
Nature reviews. Disease primers
(2020-01-16)
www.nature.comPDF
Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-Term potentiation impaired by amyloid β oligomers
Kyerl Park, Jaedong Lee, Hyun Jae Jang, Blake A. Richards, Michael M. Kohl and Jeehyun Kwag
BMC Biology
(2020-01-15)
bmcbiol.biomedcentral.comPDF
Ultrasensitive Assay of Alkaline Phosphatase Based on the Fluorescent Response Difference of the Metal-Organic Framework Sensor.
Xi-Yuan Yao, Qian Wang, Qiao Liu, Meili Pang, Xiao-Meng Du, Bo Zhao, Yue Li and Wen-Juan Ruan
ACS omega
(2020-01-14)
pubs.acs.orgPDF
HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution
Christopher Jf Cameron, Josée Dostie and Mathieu Blanchette
Genome Biology
(2020-01-14)
genomebiology.biomedcentral.comPDF
Systematic detection of divergent brain protein-coding genes in human evolution and their roles in cognition
Guillaume Dumas, Simon Malesys and Thomas Bourgeron
bioRxiv
(2020-01-13)
www.biorxiv.orgPDF
Uncovering axes of variation among single-cell cancer specimens.
William S. Chen, Nevena Zivanovic, David van Dijk, Guy Wolf, Bernd Bodenmiller and Smita Krishnaswamy
Nature Methods
(2020-01-13)
europepmc.orgPDF
Partitioning gene-based variance of complex traits by gene score regression
Yue Li, Si Yi Li, Wenmin Zhang and Tianyi Amanda Liu
bioRxiv
(2020-01-09)
www.biorxiv.orgPDF
Internal representation dynamics and geometry in recurrent neural networks.
Stefan Horoi, Guillaume Lajoie and Guy Wolf
arXiv: Learning
(2020-01-09)
ui.adsabs.harvard.eduPDF
Using Gamification to Support Users’ Adoption of Contextual Achievement Goals
Jian Tang, Yilin Jia and Ping Zhang
HICSS 2020
(2020-01-07)
aisel.aisnet.orgPDF
Upstream ORF-Encoded ASDURF Is a Novel Prefoldin-like Subunit of the PAQosome.
Philippe Cloutier, Christian Poitras, Denis Faubert, Annie Bouchard, Mathieu Blanchette, Marie-Soleil Gauthier and Benoit Coulombe
Journal of Proteome Research
(2020-01-03)
pubag.nal.usda.gov
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang and Jieping Ye
Survey of the low power wide area network technologies
Fei Gu, Jianwei Niu, Landu Jiang, Xue Liu and Mohammed Atiquzzaman
Journal of Network and Computer Applications
(2020-01-01)
www.sciencedirect.com
Mathematical Optimization for Efficient and Robust Energy Networks
Natalia Selini Hadjidimitriou, Antonio Frangioni, Andrea Lodi and Thorsten Koch
(venue unknown)
(2020-01-01)
opus4.kobv.de
The Jazz Harmony Treebank.
Daniel Harasim, Christoph Finkensiep, Petter Ericson, Timothy J. O'Donnell and Martin Rohrmeier
ISMIR 2020
(2020-01-01)
dblp.uni-trier.de
Designing networks to accurately learn 2D turbulence closures
Keaton Burns, Ronan Legin, Adrian Liu, Laurence Perreault-Levasseur, Yashar Hezaveh, Siamak Ravanbakhsh and Gregory Wagner
APS Division of Fluid Dynamics Meeting Abstracts
(2020-01-01)
ui.adsabs.harvard.edu
The Answer Is Blowing in the Wind: Directed Air Flow for Socially-acceptable Human-Robot Interaction.
Vincent Zhang, Natalie Friedman, David Goedicke, Dmitriy Rivkin, Michael Jenkin, Xue Liu and Gregory Dudek
ICRCV 2020
(2020-01-01)
dblp.uni-trier.de
Equivariant Networks for Hierarchical Structures
Renhao Wang, Marjan Albooyeh and Siamak Ravanbakhsh
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF
Anonymizing Social Networks
Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu and Philip S. Yu
Introduction to Privacy-Preserving Data Publishing
(2020-01-01)
www.mendeley.com
Storage and Computation of Multimorphemic Words in Turkish.
Rabia Ergin, Emily Morgan and Timothy O'Donnell
Cognitive Science
(2020-01-01)
dblp.uni-trier.de
The Indian chefs process
P. Dallaire, L. Ambrogioni, L. Trottier, U. Güçlü, M. Hinne, P. Giguère, B. Chaib-Draa, M.A.J. van Gerven and F. Laviolette
Proceedings of Machine Learning Research
(2020-01-01)
www.narcis.nl
Shaping the Narrative Arc: Information-Theoretic Collaborative DialoguePaper type: Technical Paper.
Kory Wallace Mathewson, Pablo Samuel Castro, Colin Cherry, George F. Foster and Marc G. Bellemare
ICCC
(2020-01-01)
dblp.uni-trier.dePDF
Authorship Analysis Approaches
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Cybersecurity And Cybercrime Investigation
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Authorship Attribution With Few Training Samples
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Writeprint Mining For Authorship Attribution
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Artificial Intelligence And Digital Forensics
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Machine Learning for Authorship Attribution and Cyber Forensics
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Criminal Information Mining
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Messaging Forensics In Perspective
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
Analyzing Network Level Information
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung
(venue unknown)
(2020-01-01)
link.springer.com
A Study of Condition Numbers for First-Order Optimization.
Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti and Ioannis Mitliagkas
You could have said that instead: Improving Chatbots with Natural Language Feedback.
Makesh Narsimhan Sreedhar, Kun Ni and Siva Reddy
EMNLP 2020
(2020-01-01)
aclanthology.org
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias B. Khalil, Pawan Kumar Mudigonda, Andrea Lodi and Yoshua Bengio
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal Alias Parth Goyal, Kyle Goyette, Yoshua Bengio and Guillaume Lajoie
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF
On Efficiency in Hierarchical Reinforcement Learning
Zheng Wen, Doina Precup, Morteza Ibrahimi, Andre Barreto, Benjamin Van Roy and Satinder Singh
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez and Laurent Charlin
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF
Adversarial Example Games
Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien and Will Hamilton
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF
Unsupervised Learning of Dense Visual Representations
Pedro O. O. Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo and Aaron C. Courville
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne and Frank Wood
Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer.
Zhongjie Ba, Tianhang Zheng, Xinyu Zhang, Zhan Qin, Baochun Li, Xue Liu and Kui Ren
NDSS 2020
(2020-01-01)
www.ndss-symposium.org
Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia.
Golnoush Alamian, Annalisa Pascarella, Tarek Lajnef, Laura Knight, James Walters, Krish D. Singh and Karim Jerbi
NeuroImage: Clinical
(2020-01-01)
europepmc.org
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
Marco Pizzolato, Marco Palombo, Elisenda Bonet-Carne, Chantal M. W. Tax, Francesco Grussu, Andrada Ianus, Fabian Bogusz, Tomasz Pieciak, Lipeng Ning, Hugo Larochelle, Maxime Descoteaux, Maxime Chamberland, Stefano B. Blumberg, Thomy Mertzanidou, Daniel C. Alexander, Maryam Afzali, Santiago Aja-Fernández, Derek K. Jones, Carl-Fredrik Westin, Yogesh Rathi... (10 more)
(venue unknown)
(2020-01-01)
acuresearchbank.acu.edu.au
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
David Bieber, Charles Sutton, Hugo Larochelle and Daniel Tarlow
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Han Zhao, Jianfeng Chi, Yuan Tian and Geoffrey J. Gordon
Forethought and Hindsight in Credit Assignment
Veronica Chelu, Doina Precup and Hado P. van Hasselt
In search of robust measures of generalization
Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas and Daniel M. Roy
Reward Propagation Using Graph Convolutional Networks
Martin Klissarov and Doina Precup
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition.
Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette and Benoit Gosselin
IEEE Access
(2020-01-01)
ui.adsabs.harvard.eduPDF
Shaping the Narrative Arc: Information-Theoretic Collaborative Dialogue
Kory Mathewson, Pablo Samuel Castro, Colin Cherry, George Foster and Marc G. Bellemare
(venue unknown)
(2020-01-01)
The Indian Chefs Process.
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven and François Laviolette
Learning to cooperate: Emergent communication in multi-agent navigation.
Ivana Kajic, Eser Aygün and Doina Precup
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators
Tom Rainforth, Adam Golinski, Frank Wood and Sheheryar Zaidi
Journal of Machine Learning Research
(2020-01-01)
jmlr.csail.mit.eduPDF
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Tanya Nair, Doina Precup, Douglas L. Arnold and Tal Arbel
Bulk Savings for Bulk Transfers: Minimizing the Energy-Cost for Geo-Distributed Data Centers
Xingjian Lu, Fanxin Kong, Xue Liu, Jianwei Yin, Qiao Xiang and Huiqun Yu
IEEE Transactions on Cloud Computing
(2020-01-01)
ieeexplore.ieee.org
Mycorrhiza: Genotype Assignment using Phylogenetic Networks.
Jeremy Georges-Filteau, Richard C Hamelin and Mathieu Blanchette
Bioinformatics
(2020-01-01)
academic.oup.comPDF
Activation Adaptation in Neural Networks.
Farnoush Farhadi, Vahid Partovi Nia and Andrea Lodi
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne and Smita Krishnaswamy
Author Correction: Visualizing structure and transitions in high-dimensional biological data.
Kevin R. Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B. Burkhardt, William S. Chen, Kristina Yim, Antonia van den Elzen, Matthew J. Hirn, Ronald R. Coifman, Natalia B. Ivanova, Guy Wolf and Smita Krishnaswamy
Nature Biotechnology
(2020-01-01)
www.nature.com
Block planning for intermodal rail: Methodology and case study
Gianluca Morganti, Teodor Gabriel Crainic, Emma Frejinger and Nicolettta Ricciardi
Transportation research procedia
(2020-01-01)
www.sciencedirect.com
The AI Driving Olympics at NeurIPS 2018
Julian Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Philipp Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi and Liam Paull
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan and Daniel Tarlow
An operator view of policy gradient methods.
Dibya Ghosh, Marlos C. Machado and Nicolas Le Roux
Few-Shot Learning
(venue unknown)
(2020-01-01)
link.springer.com
Curriculum By Smoothing
Samarth Sinha, Animesh Garg and Hugo Larochelle
Minimisation in Logical Form.
Nick Bezhanishvili, Marcello M. Bonsangue, Helle Hvid Hansen, Dexter Kozen, Clemens Kupke, Prakash Panangaden and Alexandra Silva
Outstanding Contributions to Logic
(2020-01-01)
www.narcis.nl[LATEST on arXiv preprint arXiv:2005.11551 (2020-05-23)]
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.
Manuel Sage, Pietro Cruciata, Raed Abdo, Jackie Chi Kit Cheung and Yaoyao Fiona Zhao
SwissText/KONVENS
(2020-01-01)
dblp.uni-trier.dePDF
Value-driven Hindsight Modelling
Arthur Guez, Fabio Viola, Theophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver and Nicolas Heess
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto, David Meger and Doina Precup
Novelty Search in Representational Space for Sample Efficient Exploration
Ruo Yu Tao, Vincent Francois-Lavet and Joelle Pineau
Machine learning to predict osteoporotic fracture risk from genotypes
Vincenzo Forgetta, Julyan Keller-Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John Kemp, John A. Morris, John A. Kanis, Douglas P. Kiel, Eugene V. McCloskey, Fernando Rivadeneira, Helena Johannson, Nicholas Harvey, Cyrus Cooper, David M. Evans, Joelle Pineau, William D. Leslie, Celia M. T. Greenwood and J. Brent Richards
What Do Compressed Deep Neural Networks Forget
Sara Hooker, Aaron Courville, Gregory Clark, Yann Dauphin and Andrea Frome
arXiv preprint arXiv:1911.05248
(2020-01-01)
ui.adsabs.harvard.eduPDF
On Catastrophic Interference in Atari 2600 Games
William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio and Hugo Larochelle
arXiv preprint arXiv:2002.12499
(2020-01-01)
ui.adsabs.harvard.eduPDF
Toward Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
Neural Computation
(2020-01-01)
direct.mit.edu

2019-12

Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model.
Lina M. Tran, Sheena A. Josselyn, Blake A. Richards and Paul W. Frankland
Behavioural Brain Research
(2019-12-30)
www.sciencedirect.com
Learning from Learning Machines: Optimisation, Rules, and Social Norms
Travis LaCroix and Yoshua Bengio
arXiv preprint arXiv:2001.00006
(2019-12-29)
dblp.uni-trier.dePDF
Tiling Optimizations for Stencil Computations Using Rewrite Rules in Lift
Larisa Stoltzfus, Bastian Hagedorn, Michel Steuwer, Sergei Gorlatch and Christophe Dubach
ACM Transactions on Architecture and Code Optimization
(2019-12-26)
eprints.gla.ac.ukPDF
On the Morality of Artificial Intelligence.
Alexandra Luccioni and Yoshua Bengio
arXiv preprint arXiv:1912.11945
(2019-12-26)
dblp.uni-trier.dePDF
Clusters in Explanation Space: Inferring disease subtypes from model explanations.
Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok and Konstantinos Georgatzis
arXiv preprint arXiv:1912.08755
(2019-12-18)
ui.adsabs.harvard.eduPDF
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition
Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette and Benoit Gosselin
arXiv preprint arXiv:1912.09380
(2019-12-16)
ui.adsabs.harvard.eduPDF
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
ByungIn Yoo, Tristan Sylvain, Yoshua Bengio and Junmo Kim
arXiv preprint arXiv:1912.06994
(2019-12-15)
ui.adsabs.harvard.eduPDF
Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks
Luxin Zhang, Christophe Biernacki, Pascal Germain and Yacine Kessaci
CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics
(2019-12-14)
hal.archives-ouvertes.fr
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
Kamrul Hasan and Christopher Pal
ACM Transactions on Knowledge Discovery From Data
(2019-12-13)
dl.acm.org
Shaping representations through communication: community size effect in artificial learning systems
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell and Doina Precup
arXiv preprint arXiv:1912.06208
(2019-12-12)
ui.adsabs.harvard.eduPDF
CLOSURE: Assessing Systematic Generalization of CLEVR Models.
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio and Aaron C. Courville
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning.
Riashat Islam, Raihan Seraj, Samin Yeasar Arnob and Doina Precup
arXiv preprint arXiv:1912.05109
(2019-12-11)
ui.adsabs.harvard.eduPDF
Marginalized State Distribution Entropy Regularization in Policy Optimization
Riashat Islam, Zafarali Ahmed and Doina Precup
arXiv preprint arXiv:1912.05128
(2019-12-11)
ui.adsabs.harvard.eduPDF
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods
Riashat Islam, Raihan Seraj, Pierre-Luc Bacon and Doina Precup
arXiv preprint arXiv:1912.05104
(2019-12-11)
ui.adsabs.harvard.eduPDF
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte, Pascal Germain, Benjamin Guedj and Francois Laviolette
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Probabilistic Logic Neural Networks for Reasoning
Meng Qu and Jian Tang
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang and Jian Tang
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit, Víctor Campos and Yoshua Bengio
Variational Temporal Abstraction
Taesup Kim, Sungjin Ahn and Yoshua Bengio
Disjunctive cuts in Mixed-Integer Conic Optimization
Andrea Lodi, Mathieu Tanneau and Juan Pablo Vielma
arXiv preprint arXiv:1912.03166
(2019-12-06)
ui.adsabs.harvard.eduPDF
Hindsight Credit Assignment
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado P. van Hasselt, Gregory Wayne, Satinder Singh, Doina Precup and Remi Munos
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
Jessica Thompson, Yoshua Bengio and Marc Schoenwiesner
2019 Conference on Cognitive Computational Neuroscience
(2019-12-04)
dblp.uni-trier.dePDF
Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift. (arXiv:1911.06970v2 [cs.LG] UPDATED)
Riashat Islam, Komal K. Teru, Deepak Sharma and Joelle Pineau
arXiv Computer Science
(2019-12-03)
Detecting GAN generated errors.
Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger and Gregory Dudek
arXiv: Image and Video Processing
(2019-12-02)
ui.adsabs.harvard.eduPDF
Applying Knowledge Transfer for Water Body Segmentation in Peru.
Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran and Yoshua Bengio
arXiv preprint arXiv:1912.00957
(2019-12-02)
dblp.uni-trier.dePDF
Optimizing Location Quality in Privacy Preserving Crowdsensing
Yuhui Zhang, Ming Li, Dejun Yang, Jian Tang and Guoliang Xue
GLOBECOM 2019
(2019-12-01)
asu.pure.elsevier.com
P4PCN: Privacy-Preserving Path Probing for Payment Channel Networks
Ruozhou Yu, Yinxin Wan, Vishnu Teja Kilari, Guoliang Xue, Jian Tang and Dejun Yang
GLOBECOM 2019
(2019-12-01)
asu.pure.elsevier.com
Disjunctive cuts for mixed-integer conic optimization
Andrea Lodi, Mathieu Tanneau and Juan Pablo Vielma
Les Cahiers du GERAD
(2019-12-01)
www.gerad.ca
Author correction: Why rankings of biomedical image analysis competitions should be interpreted with care (Nature Communications, (2018), 9, 1, (5217), 10.1038/s41467-018-07619-7)
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier... (18 more)
Nature Communications
(2019-12-01)
research.tue.nl
Finding Archetypal Spaces Using Neural Networks
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf and Smita Krishnaswamy
BIG DATA 2019
(2019-12-01)
doi.org
Visualizing structure and transitions in high-dimensional biological data
Kevin R Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B Burkhardt, William S Chen, Kristina Yim, Antonia van den Elzen, Matthew J Hirn, Ronald R Coifman, Natalia B Ivanova, Guy Wolf and Smita Krishnaswamy
Nature Biotechnology
(2019-12-01)
www.nature.com
Coupling between human brain activity and body movements: Insights from non-invasive electromagnetic recordings
Mathieu Bourguignon, Veikko Jousmaki, Sarang S.S. Dalal, Karim Jerbi and Xavier De Tiege
NeuroImage
(2019-12-01)
europepmc.orgPDF
Expressiveness and Learning of Hidden Quantum Markov Models
Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon and Byron Boots
Automated curriculum generation for Policy Gradients from Demonstrations
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert and Yoshua Bengio
arXiv preprint arXiv:1912.00444
(2019-12-01)
ui.adsabs.harvard.eduPDF
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté and R Devon Hjelm

2019-11

Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features.
Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin and Erik Scheme
arXiv preprint arXiv:1912.00283
(2019-11-30)
arxiv.orgPDF
Bisimulation for Feller-Dynkin Processes
Linan Chen, Florence Clerc and Prakash Panangaden
Electronic Notes in Theoretical Computer Science
(2019-11-30)
www.sciencedirect.com[Also on arXiv: Logic in Computer Science (2019-04-01)]
Deconstructing and reconstructing word embedding algorithms
Edward Newell, Kian Kenyon-Dean and Jackie Chi Kit Cheung
arXiv preprint arXiv:1911.13280
(2019-11-29)
ui.adsabs.harvard.eduPDF
Option-Critic in Cooperative Multi-agent Systems
Jhelum Chakravorty, Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu and Doina Precup
arXiv preprint arXiv:1911.12825
(2019-11-28)
arxiv.orgPDF
Driver perceptions of advanced driver assistance systems and safety
Sophie Le Page, Jason Millar, Kelly Bronson, Shalaleh Rismani and AJung Moon
arXiv: Human-Computer Interaction
(2019-11-25)
arxiv.orgPDF
Interactive Machine Comprehension with Information Seeking Agents. (arXiv:1908.10449v1 [cs.CL])
Xingdi Yuan, Jie Fu, Marc-Alexandre Cote, Yi Tay, Christopher Pal and Adam Trischler
arXiv Computer Science
(2019-11-25)
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift.
Azadeh Sadat Mozafari, Hugo Siqueira Gomes and Christian Gagné
arXiv preprint arXiv:1911.11195
(2019-11-25)
ui.adsabs.harvard.eduPDF
Drivers' Awareness, Knowledge, and Use of Autonomous Driving Assistance Systems (ADAS) and Vehicle Automation
Kelly Bronson, Sophie Le Page, Katherine-Marie Robinson, Ajung Moon, Shalaleh Rismani and Jason Millar
arXiv preprint arXiv:1911.10920
(2019-11-25)
ui.adsabs.harvard.edu
Universality and diversity in human song
Samuel A. Mehr, Manvir Singh, Dean Knox, Daniel M. Ketter, Daniel Pickens-Jones, S. Atwood, Christopher Lucas, Nori Jacoby, Alena A. Egner, Erin J. Hopkins, Rhea M. Howard, Joshua K. Hartshorne, Mariela V. Jennings, Jan Simson, Constance M. Bainbridge, Steven Pinker, Timothy J. O’Donnell, Max M. Krasnow and Luke Glowacki
Science
(2019-11-22)
europepmc.orgPDF
Game theoretical analysis of Kidney Exchange Programs.
Margarida Carvalho and Andrea Lodi
arXiv preprint arXiv:1911.09207
(2019-11-20)
ui.adsabs.harvard.eduPDF
Online Learned Continual Compression with Stacked Quantization Module.
Lucas Caccia, Eugene Belilovsky, Massimo Caccia and Joelle Pineau
(venue unknown)
(2019-11-19)
dblp.uni-trier.de
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong and Yoshua Bengio
arXiv preprint arXiv:1911.07421
(2019-11-18)
dblp.uni-trier.dePDF
Etalumis: bringing probabilistic programming to scientific simulators at scale
Atilim Güneş Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat and Frank Wood
Etalumis: bringing probabilistic programming to scientific simulators at scale
Atilim Güneş Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat and Frank Wood
HIPC 2019
(2019-11-17)
inspirehep.net
Inductive Relation Prediction on Knowledge Graphs.
Komal K. Teru and William L. Hamilton
(venue unknown)
(2019-11-16)
dblp.uni-trier.de
Distinct functional roles of the mirror neuron system and the mentalizing system.
Alexander Geiger, Gary Bente, Sebastian Lammers, Ralf Tepest, Daniel Roth, Danilo Bzdok and Kai Vogeley
NeuroImage
(2019-11-15)
www.sciencedirect.com
Universal Dependencies 2.5
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Noëmi Aepli, Željko Agić, Lars Ahrenberg, Gabrielė Aleksandravičiūtė, Lene Antonsen, Katya Aplonova, Maria Jesus Aranzabe, Gashaw Arutie, Masayuki Asahara, Luma Ateyah, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus, Elena Badmaeva, Miguel Ballesteros, Esha Banerjee, Sebastian Bank... (324 more)
(venue unknown)
(2019-11-15)
hdl.handle.net
SST'19 - Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019
Jan-Philipp Steghöfer, Nan Niu, Jin L.C. Guo and Anas Mahmoud
ACM Sigsoft Software Engineering Notes
(2019-11-14)
dl.acm.org
oRNAment: a database of putative RNA binding protein target sites in the transcriptomes of model species
Louis Philip Benoit Bouvrette, Samantha Bovaird, Mathieu Blanchette and Eric Lécuyer
Nucleic Acids Research
(2019-11-14)
academic.oup.com
Nonlinear chance-constrained problems with applications to hydro scheduling
Andrea Lodi, Enrico Malaguti, Giacomo Nannicini and Dimitri Thomopulos
Mathematical Programming
(2019-11-14)
link.springer.com
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
Michael Perlmutter, Feng Gao, Guy Wolf and Matthew J. Hirn
arXiv preprint arXiv:1911.06253
(2019-11-14)
ui.adsabs.harvard.eduPDF
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li and Jian Tang
arXiv preprint arXiv:1911.06136
(2019-11-13)
dblp.uni-trier.dePDF
Selective Brain Damage: Measuring the Disparate Impact of Model Pruning
Sara Hooker, Aaron C. Courville, Yann N. Dauphin and Andrea Frome
(venue unknown)
(2019-11-13)
research.googlePDF
Myeloarchitecture gradients in the human insula serve as blueprints for its diverse connectivity and function
Royer J, Paquola C, Larivière S, de Wael Rv, Tavakol S, Lowe Aj, Benkarim O, Evans Ac, Bzdok D, Smallwood J, Frauscher B and Bernhardt Bc
bioRxiv
(2019-11-12)
europepmc.orgPDF
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.
Qinglong Wang, Kaixuan Zhang, Xue Liu and C. Lee Giles
arXiv: Learning
(2019-11-12)
ui.adsabs.harvard.eduPDF
Real-Time Reinforcement Learning
Simon Ramstedt and Christopher J. Pal
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy
Alex Lamb, Vikas Verma, Juho Kannala and Yoshua Bengio
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security
(2019-11-11)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1906.06784 (2019-06-16)]
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
Teng Long, Yanshuai Cao and Jackie Chi Kit Cheung
arXiv: Learning
(2019-11-10)
ui.adsabs.harvard.eduPDF
Preventing Posterior Collapse in Sequence VAEs with Pooling
Teng Long, Yanshuai Cao and Jackie Chi Kit Cheung
(venue unknown)
(2019-11-10)
dblp.uni-trier.de
Robo-PlaNet: Learning to Poke in a Day
Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo and Derek Nowrouzezahrai
arXiv preprint arXiv:1911.03594
(2019-11-09)
ui.adsabs.harvard.eduPDF
Integral formulations of volumetric transmittance
Iliyan Georgiev, Zackary Misso, Toshiya Hachisuka, Derek Nowrouzezahrai, Jaroslav Křivánek and Wojciech Jarosz
ACM Transactions on Graphics
(2019-11-08)
dl.acm.org
Non-linear sphere tracing for rendering deformed signed distance fields
Dario Seyb, Alec Jacobson, Derek Nowrouzezahrai and Wojciech Jarosz
ACM Transactions on Graphics
(2019-11-08)
dl.acm.org
Sidewalk Environment for Visual Navigation
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Kahou, Joseph Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo and Chris Pal
(venue unknown)
(2019-11-07)
zenodo.org
Study of Constrained Network Structures for WGANs on Numeric Data Generation.
Wei Wang, Chuang Wang, Tao Cui and Yue Li
arXiv preprint arXiv:1911.01649
(2019-11-05)
dblp.uni-trier.dePDF
Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony
Daniel Harasim, Timothy J. O'Donnell and Martin Rohrmeier
ISMIR 2019
(2019-11-04)
archives.ismir.net
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang and Jian Tang
CIKM 2019
(2019-11-03)
dblp.uni-trier.dePDF
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
Huawei Shen, Jian Tang and Peng Bao
CIKM 2019
(2019-11-03)
dblp.uni-trier.de
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang and Jian Tang
CIKM 2019
(2019-11-03)
dblp.uni-trier.dePDF
Generalizing to unseen domains via distribution matching
Isabela Albuquerque, João Monteiro, Mohammad Darvishi, Tiago H. Falk and Ioannis Mitliagkas
arXiv preprint arXiv:1911.00804
(2019-11-03)
ui.adsabs.harvard.eduPDF
Adversarial target-invariant representation learning for domain generalization
Isabela Albuquerque, João Monteiro, Mohammad Darvishi, Tiago H. Falk and Ioannis Mitliagkas
(venue unknown)
(2019-11-03)
onikle.com
SafeWatch: A Wearable Hand Motion Tracking System for Improving Driving Safety
Chongguang Bi, Jun Huang, Guoliang Xing, Landu Jiang, Xue Liu and Minghua Chen
ACM Transactions on Cyber-Physical Systems
(2019-11-02)
dl.acm.org
Social-Aware Sequential Modeling of User Interests: A Deep Learning Approach
Chi Harold Liu, Jie Xu, Jian Tang and Jon Crowcroft
IEEE Transactions on Knowledge and Data Engineering
(2019-11-01)
experts.syr.edu
Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus
Hui Gao, Chi Harold Liu, Jian Tang, Dejun Yang, Pan Hui and Wendong Wang
IEEE Transactions on Mobile Computing
(2019-11-01)
doi.org
FID-sketch: an accurate sketch to store frequencies in data streams
Tong Yang, Haowei Zhang, Hao Wang, Muhammad Shahzad, Xue Liu, Qin Xin and Xiaoming Li
World Wide Web
(2019-11-01)
link.springer.com
Overview of the TREC 2019 Fair Ranking Track
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand and Sebastian Kohlmeier
RadioLoc: Learning Vehicle Locations with FM Signal in All-Terrain Environments
Xi Chen, Qiao Xiang, Linghe Kong and Xue Liu
MASS 2019
(2019-11-01)
doi.org
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, Byron Boots and Geoffrey J. Gordon
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Ian Porada, Kaheer Suleman and Jackie Chi Kit Cheung
Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
(2019-11-01)
www.aclweb.org[LATEST on arXiv: Computation and Language (2019-11-13)]
Referring Expression Generation Using Entity Profiles
Seeded self-play for language learning
Abhinav Gupta, Ryan Lowe, Jakob N. Foerster, Douwe Kiela and Joelle Pineau
EMNLP 2019
(2019-11-01)
www.aclweb.org
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau and William L. Hamilton
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
Tianyu Li, Bogdan Mazoure, Doina Precup and Guillaume Rabusseau
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni and Aaron C. Courville
Deep Generative Modeling of LiDAR Data
Lucas Caccia, Herke van Hoof, Aaron Courville and Joelle Pineau

2019-10

Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo and Chris Pal
Enabling Data Trustworthiness and User Privacy in Mobile Crowdsensing
Haiqin Wu, Liangmin Wang, Guoliang Xue, Jian Tang and Dejun Yang
IEEE ACM Transactions on Networking
(2019-10-28)
asu.pure.elsevier.com
A deep learning framework for neuroscience
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli, Colleen J Gillon, Danijar Hafner, Adam Kepecs, Nikolaus Kriegeskorte, Peter Latham, Grace W Lindsay, Kenneth D Miller, Richard Naud, Christopher C Pack, Panayiota Poirazi... (12 more)
Nature Neuroscience
(2019-10-28)
europepmc.orgPDF
Attention for Inference Compilation
William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm and Frank Wood
arXiv preprint arXiv:1910.11961
(2019-10-25)
ui.adsabs.harvard.eduPDF
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation
Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip and Frank Wood
arXiv preprint arXiv:1910.11950
(2019-10-25)
www.cs.ox.ac.ukPDF
gradSLAM: Automagically differentiable SLAM
Krishna Murthy Jatavallabhula, Soroush Saryazdi, Ganesh Iyer and Liam Paull
arXiv preprint arXiv:1910.10672
(2019-10-23)
ui.adsabs.harvard.eduPDF
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
Sanjay Thakur, Herke Van Hoof, Gunshi Gupta and David Meger
arXiv: Machine Learning
(2019-10-23)
ui.adsabs.harvard.eduPDF
gradSLAM: Dense SLAM meets Automatic Differentiation
Krishna Murthy Jatavallabhula, Ganesh Iyer and Liam Paull
(venue unknown)
(2019-10-23)
arxiv.org
Fabricated dry-hang mounting structure for indoor large-scale water curtains
Cai Tianhua, Zhuo Yan, Li Bo, Li Ming, Huang Lei, Mao Ke, Wang Feng, Yuan Gengcai, Zhang Tingsen, Zhang Jinfeng, Chen Xiaoping, Qi Deshu, Li Bin, Yan Wencai, Yu Gang, Yang Tao, Han Wei, Chen Zunyong, Gao Xiuquan, Wei Ling... (3 more)
(venue unknown)
(2019-10-22)
lens.org
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.09570
(2019-10-21)
ui.adsabs.harvard.eduPDF
Amortized Rejection Sampling in Universal Probabilistic Programming
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh and Frank Wood
arXiv preprint arXiv:1910.09056
(2019-10-20)
ui.adsabs.harvard.eduPDF
Predicting ice flow using machine learning.
Yimeng Min, S. Karthik Mukkavilli and Yoshua Bengio
arXiv preprint arXiv:1910.08922
(2019-10-20)
dblp.uni-trier.dePDF
How "Task-Individual Fit" Influences User Contribution Behaviors in Citizen Science
Jiayan Guo, Jian Tang, Xinxue Zhou and Jing Li
Proceedings of the 4th International Conference on Crowd Science and Engineering
(2019-10-18)
dl.acm.org
Digital Democracy Project: Research memo #7 - the partisan playground
Taylor Owen, Peter Loewen, Derek Ruths, Aengus Bridgman, Etienne Gagnon, Robert Gorwa, Stephanie MacLellan, Eric Merkley, Andrew Potter, Beata Skazinetsky and Oleg Zhilin
(venue unknown)
(2019-10-18)
apo.org.auPDF
Toward Metrics for Differentiating Out-of-Distribution Sets
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty.
Emma Frejinger and Eric Larsen
arXiv preprint arXiv:1910.08216
(2019-10-18)
ui.adsabs.harvard.eduPDF
Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI
Joshua Durso-Finley, Douglas L. Arnold and Tal Arbel
International MICCAI Brainlesion Workshop
(2019-10-17)
doi.org
Efficient Bayesian Inference for Nested Simulators
Bradley Gram-Hansen, Christian Schroeder de Witt, Robert Zinkov, Saeid Naderiparizi, Adam Scibior, Andreas Munk, Frank Wood, Mehrdad Ghadiri, Philip Torr, Yee Whye Teh, Atilim Gunes Baydin and Tom Rainforth
(venue unknown)
(2019-10-16)
openreview.netPDF
SCG: Spotting Coordinated Groups in Social Media
Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha and Reihaneh Rabbany
arXiv preprint arXiv:1910.07130
(2019-10-16)
ui.adsabs.harvard.edu
Efficient Inference Amortization in Graphical Models using Structured Continuous Conditional Normalizing Flows
Christian Weilbach, Boyan Beronov, William Harvey and Frank Wood
(venue unknown)
(2019-10-16)
openreview.netPDF
SGP: Spotting Groups Polluting the Online Political Discourse.
Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha and Reihaneh Rabbany
(venue unknown)
(2019-10-16)
dblp.uni-trier.dePDF
Visual short‐term memory activation patterns in adult survivors of childhood acute lymphoblastic leukemia
Aubree Boulet‐Craig, Philippe Robaey, Fanny Barlaam, Julie Laniel, Victor Oswald, Karim Jerbi, Serge Sultan, Laurence Affret‐Bertout, Simon Drouin, Maja Krajinovic, Caroline Laverdière, Daniel Sinnett, Pierre Jolicoeur and Sarah Lippé
Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
Alexia Jolicoeur-Martineau and Ioannis Mitliagkas
arXiv preprint arXiv:1910.06922
(2019-10-15)
dblp.uni-trier.dePDF
Deep learning for Aerosol Forecasting.
Caleb Hoyne, S. Karthik Mukkavilli and David Meger
arXiv preprint arXiv:1910.06789
(2019-10-14)
ui.adsabs.harvard.eduPDF
Nash Games Among Stackelberg Leaders.
Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi and Sriram Sankaranarayanan
(venue unknown)
(2019-10-14)
dblp.uni-trier.dePDF
When Nash Meets Stackelberg
Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi and Sriram Sankaranarayanan
arXiv preprint arXiv:1910.06452
(2019-10-14)
128.84.4.18PDF
Actor Critic with Differentially Private Critic.
Jonathan Lebensold, William L. Hamilton, Borja Balle and Doina Precup
arXiv preprint arXiv:1910.05876
(2019-10-14)
ui.adsabs.harvard.eduPDF
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases
Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold and Tal Arbel
DART/MIL3ID@MICCAI
(2019-10-13)
link.springer.com
Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders.
Sumana Basu, Konrad Wagstyl, Azar Zandifar, D. Louis Collins, Adriana Romero and Doina Precup
MICCAI 2019
(2019-10-13)
doi.org
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh and Yoshua Bengio
MICCAI 2019
(2019-10-13)
link.springer.com
Digital Democracy Project: Research memo #6 - political advertising
Taylor Owen, Peter Loewen, Derek Ruths, Aengus Bridgman, Laura Edelson, Robert Gorwa, Divam Jain, Stephanie MacLellan, Damon McCoy, Eric Merkley, Andrew Potter, Beata Skazinetsky, Ratnam Srivastava and Oleg Zhilin
(venue unknown)
(2019-10-12)
apo.org.auPDF
Visualizing High Dimensional Dynamical Processes
Andres F. Duque, Guy Wolf and Kevin R. Moon
MLSP 2019
(2019-10-12)
doi.orgPDF
Generalization Capability of the Diet Network Model on Genomic Data
Camille Rochefort-Boulanger, Léo Choinière, Jean-Christophe Grenier, Pierre-Luc Carrier and Julie Hussin
(venue unknown)
(2019-10-11)
easychair.orgPDF
BIAS: Transparent reporting of biomedical image analysis challenges
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbuary, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider and Bennett Landman
arXiv preprint arXiv:1910.04071
(2019-10-09)
arxiv.orgPDF
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions.
Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau and Sebastian Riedel
arXiv preprint arXiv:1910.04054
(2019-10-09)
ui.adsabs.harvard.eduPDF
Noisy Interactive Quantum Communication. (arXiv:1309.2643v2 [quant-ph] UPDATED)
Gilles Brassard, Ashwin Nayak, Alain Tapp, Dave Touchette and Falk Unger
arXiv Computer Science
(2019-10-07)
Recurrent Value Functions. (arXiv:1905.09562v1 [cs.LG])
Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup and Joelle Pineau
arXiv Computer Science
(2019-10-07)
Exploring single-cell data with deep multitasking neural networks.
Matthew Amodio, David van Dijk, Krishnan Srinivasan, William S Chen, Hussein Mohsen, Kevin R Moon, Allison Campbell, Yujiao Zhao, Xiaomei Wang, Manjunatha Venkataswamy, Anita Desai, V Ravi, Priti Kumar, Ruth Montgomery, Guy Wolf and Smita Krishnaswamy
Nature Methods
(2019-10-07)
www.nature.comPDF
Neural Multisensory Scene Inference
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal and Sungjin Ahn
Benchmarking Batch Deep Reinforcement Learning Algorithms.
Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh and Joelle Pineau
arXiv preprint arXiv:1910.01708
(2019-10-03)
ui.adsabs.harvard.eduPDF
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
Catalina Cangea, Eugene Belilovsky, Pietro Liò and Aaron C. Courville
Boosting Image Recognition with Non-differentiable Constraints
Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers and Xue Liu
arXiv: Computer Vision and Pattern Recognition
(2019-10-02)
ui.adsabs.harvard.eduPDF
LRP2020: Machine Learning Advantages in Canadian Astrophysics
K.A. Venn, S. Fabbro, A Liu, Y. Hezaveh, L. Perreault-Levasseur, G. Eadie, S. Ellison, J. Woo, Jj. Kavelaars, K.M. Yi, R. Hlozek, J. Bovy, H. Teimoorinia, S. Ravanbakhsh and L. Spencer
arXiv preprint arXiv:1910.00774
(2019-10-02)
export.arxiv.orgPDF
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun and Richard S. Zemel
arXiv: Learning
(2019-10-02)
ui.adsabs.harvard.eduPDF
Digital Democracy Project: Research memo #5 - Fact-checking, blackface and the media
Taylor Owen, Peter Loewen, Derek Ruths, Aengus Bridgman, Robert Gorwa, Stephanie MacLellan, Eric Merkley, Andrew Potter, Beata Skazinetsky and Oleg Zhilin
(venue unknown)
(2019-10-01)
apo.org.au
Singular value automata and approximate minimization
Mathematical Structures in Computer Science
(2019-10-01)
www.cambridge.orgPDF
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas and Michael Rabbat
arXiv preprint arXiv:1910.00643
(2019-10-01)
ui.adsabs.harvard.eduPDF
Deep Parametric Indoor Lighting Estimation
Marc-Andre Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagne and Jean-Francois Lalonde
Metal-organic frameworks based fluorescent sensor array for discrimination of flavonoids.
Qiao Liu, Jie Gao, Zhe Zheng, Di Ning, Qian Wang, Xiao-Meng Du, Bo Zhao, Wen-Juan Ruan and Yue Li
Talanta
(2019-10-01)
www.sciencedirect.com
Decoding the neural dynamics of oculomotor decision making in humans
Thomas Thiery, Anne-Lise Saive, Etienne Combrisson, Arthur Dehgan, Julien Bastin, Philippe Kahane, Alain Berthoz, Jean-Philippe Lachaux and Karim Jerbi
bioRxiv
(2019-10-01)
www.biorxiv.orgPDF
Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines
Jakub M. Tomczak, Szymon Zaręba, Siamak Ravanbakhsh and Russell Greiner
Neural Processing Letters
(2019-10-01)
link.springer.comPDF
Augmenting learning using symmetry in a biologically-inspired domain
Shruti Mishra, Abbas Abdolmaleki, Arthur Guez, Piotr Trochim and Doina Precup
arXiv: Learning
(2019-10-01)
ui.adsabs.harvard.eduPDF
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon, Nicolas Ballas and Aaron Courville
Batch Weight for Domain Adaptation With Mass Shift
Mikolaj Binkowski, Devon Hjelm and Aaron Courville
Depth with nonlinearity creates no bad local minima in ResNets.
Kenji Kawaguchi and Yoshua Bengio
Neural Networks
(2019-10-01)
www.sciencedirect.comPDF
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio and Graham Taylor
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael Gotway, Yoshua Bengio and Jianming Liang

2019-09

Digital Democracy Project: Research memo #3 - Polarization and its Discontents
Taylor Owen, Peter Loewen, Derek Ruths, Aengus Bridgman, Robert Gorwa, Stephanie MacLellan, Eric Merkley, Andrew Potter, Beata Skazinetsky and Oleg Zhilin
(venue unknown)
(2019-09-30)
apo.org.auPDF
Digital Democracy Project: Research memo #4 - Talking Past Each Other on Immigration
Taylor Owen, Peter Loewen, Derek Ruths, Aengus Bridgman, Robert Gorwa, Stephanie MacLellan, Eric Merkley, Andrew Potter, Beata Skazinetsky and Oleg Zhilin
(venue unknown)
(2019-09-30)
apo.org.auPDF
Towards modular and programmable architecture search
Renato Negrinho, Darshan Patil, Nghia Le, Daniel Ferreira, Matthew Gormley and Geoffrey Gordon
arXiv preprint arXiv:1909.13404
(2019-09-30)
ui.adsabs.harvard.eduPDF
Empowering Graph Representation Learning with Paired Training and Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Lio and Jian Tang
(venue unknown)
(2019-09-25)
openreview.netPDF
MODELLING BIOLOGICAL ASSAYS WITH ADAPTIVE DEEP KERNEL LEARNING
Prudencio Tossou, Basile Dura, Daniel Cohen, Mario Marchand, François Laviolette and Alexandre Lacoste
(venue unknown)
(2019-09-25)
openreview.netPDF
Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift
Azadeh Sadat Mozafari, Hugo Siqueira Gomes and Christian Gagne
(venue unknown)
(2019-09-25)
openreview.net
Connectivity-constrained interactive annotations for panoptic segmentation
Ruobing Shen, Bo Tang, Ismail Ben Ayed, Andrea Lodi and Thomas Guthier
(venue unknown)
(2019-09-25)
openreview.netPDF
Beyond GANs: Transforming without a Target Distribution
Matthew Amodio, David van Dijk, Ruth Montgomery, Guy Wolf and Smita Krishnaswamy
(venue unknown)
(2019-09-25)
openreview.netPDF
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li and Daniel Tarlow
arXiv: Machine Learning
(2019-09-25)
ui.adsabs.harvard.eduPDF
Adversarial Privacy Preservation under Attribute Inference Attack
Han Zhao, Jianfeng Chi, Yuan Tian and Geoffrey J. Gordon
(venue unknown)
(2019-09-25)
openreview.netPDF
Equivariant Entity-Relationship Networks
Devon Graham and Siamak Ravanbakhsh
arXiv preprint arXiv:1903.09033
(2019-09-25)
ui.adsabs.harvard.eduPDF
Variational inference of latent hierarchical dynamical systems in neuroscience: an application to calcium imaging data
Luke Y. Prince and Blake A. Richards
(venue unknown)
(2019-09-25)
openreview.netPDF
Meta-Graph: Few shot Link Prediction via Meta Learning
Avishek Joey Bose, Ankit Jain, Piero Molino and William L. Hamilton
arXiv preprint arXiv:1912.09867
(2019-09-25)
ui.adsabs.harvard.eduPDF
Assessing Generalization in TD methods for Deep Reinforcement Learning
Emmanuel Bengio, Doina Precup and Joelle Pineau
(venue unknown)
(2019-09-25)
openreview.netPDF
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau and R Devon Hjelm
arXiv: Learning
(2019-09-25)
ui.adsabs.harvard.eduPDF
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau and Rob Fergus
Transfer Active Learning For Graph Neural Networks
Shengding Hu, Meng Qu, Zhiyuan Liu and Jian Tang
(venue unknown)
(2019-09-25)
openreview.netPDF
Mem2Mem: Learning to Summarize Long Texts with Memory-to-Memory Transfer
Jaehong Park, Jonathan Pilault and Christopher Pal
(venue unknown)
(2019-09-25)
openreview.netPDF
Retrieving Signals in the Frequency Domain with Deep Complex Extractors
Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh and Christopher J Pal
(venue unknown)
(2019-09-25)
openreview.netPDF
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai and Christopher Pal
Are Few-shot Learning Benchmarks Too Simple ?
(venue unknown)
(2019-09-25)
openreview.netPDF
Selfish Emergent Communication
Michael Noukhovitch, Travis LaCroix and Aaron Courville
(venue unknown)
(2019-09-25)
openreview.netPDF
SPECTRA: Sparse Entity-centric Transitions
Rim Assouel and Yoshua Bengio
(venue unknown)
(2019-09-25)
openreview.netPDF
{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio and Joseph Paul Cohen
(venue unknown)
(2019-09-25)
openreview.netPDF
HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion
Michel Deudon, Alfredo Kalaitzis, Rifat Arefin, Israel Goytom, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E Kahou, Julien Cornebise and Yoshua Bengio
(venue unknown)
(2019-09-25)
openreview.netPDF
Equilibrium Propagation with Continual Weight Updates
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2005.04168
(2019-09-25)
dblp.uni-trier.dePDF
Underwhelming Generalization Improvements From Controlling Feature Attribution
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.00199
(2019-09-25)
dblp.uni-trier.dePDF
Learning Neural Causal Models from Unknown Interventions.
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stephan Bauer, Hugol Larochelle, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1910.01075
(2019-09-25)
ui.adsabs.harvard.eduPDF
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv preprint arXiv:1909.11715
(2019-09-25)
ui.adsabs.harvard.eduPDF
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier and Yoshua Bengio
arXiv preprint arXiv:1909.00949
(2019-09-25)
ui.adsabs.harvard.eduPDF
Avoidance Learning Using Observational Reinforcement Learning
David Venuto, Leonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio and Doina Precup
arXiv preprint arXiv:1909.11228
(2019-09-24)
ui.adsabs.harvard.eduPDF
Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
Renhao Wang, Adam Scibior and Frank Wood
arXiv preprint arXiv:1909.09721
(2019-09-20)
ui.adsabs.harvard.eduPDF
Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci.
Jonathan M. Mudge, Irwin Jungreis, Toby Hunt, Jose Manuel Gonzalez, James C. Wright, Mike Kay, Claire Davidson, Stephen Fitzgerald, Ruth Seal, Susan Tweedie, Liang He, Robert M. Waterhouse, Yue Li, Elspeth Bruford, Jyoti S. Choudhary, Adam Frankish and Manolis Kellis
Genome Research
(2019-09-19)
europepmc.orgPDF
Revisit Policy Optimization in Matrix Form.
Sitao Luan, Xiao-Wen Chang and Doina Precup
arXiv preprint arXiv:1909.09186
(2019-09-19)
ui.adsabs.harvard.eduPDF
Learning Sparse Mixture of Experts for Visual Question Answering
Vardaan Pahuja, Jie Fu and Christopher J. Pal
arXiv: Learning
(2019-09-19)
ui.adsabs.harvard.eduPDF
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Anil Goyal, Emilie Morvant, Pascal Germain and Massih-Reza Amini
Neurocomputing
(2019-09-17)
www.sciencedirect.comPDF
Kotlin∇: A shape-safe DSL for differentiable programming
Breandan Considine, Michalis Famelis and Liam Paull
(venue unknown)
(2019-09-17)
openreview.netPDF
Teaching modelling literacy: an artificial intelligence approach
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Joerg Kienzle
MODELS 2019
(2019-09-15)
dblp.uni-trier.de
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer.
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland and Steven H. H. Ding
arXiv e-prints
(2019-09-15)
ui.adsabs.harvard.eduPDF
Learning Speaker Representations with Mutual Information.
Mirco Ravanelli and Yoshua Bengio
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar and Yoshua Bengio
Retrieving Signals with Deep Complex Extractors
Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh and Christopher J Pal
(venue unknown)
(2019-09-14)
openreview.netPDF
Neural Architecture Search for Class-incremental Learning.
Shenyang Huang, Vincent François-Lavet and Guillaume Rabusseau
arXiv preprint arXiv:1909.06686
(2019-09-14)
ui.adsabs.harvard.eduPDF
Torchmeta: A Meta-Learning library for PyTorch
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen and Yoshua Bengio
arXiv preprint arXiv:1909.06576
(2019-09-14)
ui.adsabs.harvard.eduPDF
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion
Matthew Farrell, Stefano Recanatesi, Guillaume Lajoie and Eric Shea-Brown
bioRxiv
(2019-09-11)
openreview.netPDF
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging.
Andrew Warrington, Arthur Spencer and Frank Wood
arXiv preprint arXiv:1907.11075
(2019-09-11)
dblp.uni-trier.dePDF
Modelling Working Memory using Deep Recurrent Reinforcement Learning
Pravish Sainath, Pierre Bellec and Guillaume Lajoie
(venue unknown)
(2019-09-11)
openreview.netPDF
Inferring hierarchies of latent features in calcium imaging data
Luke Y. Prince and Blake A. Richards
(venue unknown)
(2019-09-11)
openreview.netPDF
Finite Approximation of LMPs for Exact Verification of Reachability Properties
Gildas Kouko, Josée Desharnais and François Laviolette
QEST 2019
(2019-09-10)
link.springer.com
Fairness and discrimination in recommendation and retrieval
Michael D Ekstrand, Robin Burke and Fernando Diaz
RECSYS 2019
(2019-09-10)
scholarworks.boisestate.eduPDF
Geometric wavelet scattering on graphs and manifolds
Feng Gao, Matthew Hirn, Michael Perlmutter and Guy Wolf
https://doi.org/10.1117/12.2529615
(2019-09-09)
www.spiedigitallibrary.org
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung and Annie Louis
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.
Sandeep Subramanian, Raymond Li, Jonathan Pilault and Christopher Pal
arXiv preprint arXiv:1909.03186
(2019-09-07)
ui.adsabs.harvard.eduPDF
Quantifying the effect of experimental perturbations in single-cell RNA-sequencing data using graph signal processing
Daniel B. Burkhardt, Jay S. Stanley, Alexander Tong, Ana Luisa Perdigoto, Scott A. Gigante, Kevan C. Herold, Guy Wolf, Antonio J. Giraldez, David van Dijk and Smita Krishnaswamy
bioRxiv
(2019-09-06)
www.biorxiv.orgPDF
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse, Didier Chetelat, Nicola Ferroni, Laurent Charlin and Andrea Lodi
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio and Aaron C. Courville
No Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau and Aaron Courville
arXiv preprint arXiv:1909.02128
(2019-09-04)
ui.adsabs.harvard.eduPDF
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, Seton Steven Bocco, Max Smith, Satya O.-G., Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh and Aaron C. Courville
NEURIPS 2019
(2019-09-04)
papers.nips.ccPDF
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets
Marc-Andre Schulz, B Yeo, Joshua Vogelstein, Janaina Mourao-Miranada, Jakob Kather, Konrad Kording, Blake Aaron Richards and Danilo Bzdok
bioRxiv
(2019-09-03)
hal.archives-ouvertes.frPDF
Recognizable series on graphs and hypergraphs
Raphaël Bailly, Guillaume Rabusseau and François Denis
Journal of Computer and System Sciences
(2019-09-01)
www.sciencedirect.com
Learning of Image Dehazing Models for Segmentation Tasks
Sebastien de Blois, Ihsen Hedhli and Christian Gagne
EUSIPCO 2019
(2019-09-01)
dblp.uni-trier.dePDF
Toward Requirements Specification for Machine-Learned Components
Mona Rahimi, Jin L.C. Guo, Sahar Kokaly and Marsha Chechik
2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)
(2019-09-01)
www.computer.org
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman and Jackie Chi Kit Cheung
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew Blaschko and Eugene Belilovsky
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2019-09-01)
europepmc.orgPDF

2019-08

Digital Democracy Project: Research memo #2 - climate change
Taylor Owen, Peter Loewen, Derek Ruths, Aengus Bridgman, Meghan Keenan, Stephanie MacLellan, Eric Merkley, Andrew Potter, Beata Skazinetsky and Oleg Zhilin
(venue unknown)
(2019-08-30)
apo.org.au
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio and Adam Trischler
Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp and Teresa Ludermir
(venue unknown)
(2019-08-15)
arxiv.orgPDF
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp and Teresa Bernarda Ludermir
arXiv: Learning
(2019-08-15)
dblp.uni-trier.dePDF
Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp and Teresa Ludermir
(venue unknown)
(2019-08-15)
export.arxiv.orgPDF
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin and Tinne Tuytelaars
arXiv preprint arXiv:1908.04742
(2019-08-11)
ui.adsabs.harvard.edu
Medical concept embedding with multiple ontological representations
Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung and Jonathan Poon
IJCAI 2019
(2019-08-10)
scholars.hkbu.edu.hk
Digital Democracy Project: Research memo #1 - Media, knowledge and misinformation
Taylor Owen, Peter Loewen, Derek Ruths, Aengus Bridgman, Robert Gorwa, Meghan Keenan, Stephanie MacLellan, Eric Merkley, Andrew Potter, Beata Skazinetsky and Oleg Zhilin
(venue unknown)
(2019-08-08)
apo.org.auPDF
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville and Marc G. Bellemare
arXiv preprint arXiv:1908.02388
(2019-08-06)
ui.adsabs.harvard.eduPDF
An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation
Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie and Jian Tang
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
(2019-08-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1908.04032 (2019-08-12)]
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks
Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu and Yanzhi Wang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
(2019-08-01)
experts.syr.edu
A thousand studies for the price of one: Accelerating psychological science with Pushkin.
Joshua K Hartshorne, Joshua R de Leeuw, Noah D Goodman, Mariela Jennings and Timothy J O'Donnell
Behavior Research Methods
(2019-08-01)
europepmc.orgPDF
Leaking your engine speed by spectrum analysis of real-Time scheduling sequences
Songran Liu, Nan Guan, Dong Ji, Weichen Liu, Xue Liu and Wang Yi
Journal of Systems Architecture
(2019-08-01)
www.sciencedirect.com
Deep Active Localization
Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy and Liam Paull
ICRA 2019
(2019-08-01)
ieeexplore.ieee.org
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune and Joel Lehman
Expressiveness of probabilistic modal logics: A gradual approach
Florence Clerc, Nathanaël Fijalkow, Bartek Klin and Prakash Panangaden
Information & Computation
(2019-08-01)
www.sciencedirect.com
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui and Zhiyuan Liu
IJCAI 2019
(2019-08-01)
www.ijcai.org

2019-07

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma and Jian Tang
arXiv preprint arXiv:1908.01000
(2019-07-31)
arxiv.orgPDF
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal and Doina Precup
arXiv: Computer Vision and Pattern Recognition
(2019-07-31)
ui.adsabs.harvard.eduPDF
On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault, Jaehong Park and Christopher Pal
ACL 2019
(2019-07-28)
dblp.uni-trier.de
Subspace neural physics: fast data-driven interactive simulation
Daniel Holden, Bang Chi Duong, Sayantan Datta and Derek Nowrouzezahrai
SCA 2019
(2019-07-26)
diglib.eg.org
Hierarchical Gating Networks for Sequential Recommendation
Chen Ma, Peng Kang and Xue Liu
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng and Jian-Yun Nie
SIGIR 2019
(2019-07-18)
doi.org
Session details: Session 3A: Recommendations 1
SIGIR 2019
(2019-07-18)
dl.acm.org
Fairness and Discrimination in Retrieval and Recommendation
Michael D. Ekstrand, Robin Burke and Fernando Diaz
SIGIR 2019
(2019-07-18)
doi.orgPDF
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng and Jian-Yun Nie
SIGIR 2019
(2019-07-18)
sigir.orgPDF
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen and Xue Lin
AAAI 2019
(2019-07-17)
aaai.orgPDF
Improved Knowledge Graph Embedding Using Background Taxonomic Information
Bahare Fatemi, Siamak Ravanbakhsh and David Poole
AAAI 2019
(2019-07-17)
aaai.orgPDF
Learning phenotypes and dynamic patient representations via RNN regularized collective non-negative tensor factorization
Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung and Jonathan Poon
AAAI 2019
(2019-07-17)
ojs.aaai.orgPDF
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
Carles Gelada and Marc G. Bellemare
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Clare Lyle, Marc G. Bellemare and Pablo Samuel Castro
AAAI 2019
(2019-07-17)
aaai.orgPDF
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan and Martin Grohe
Generating Character Descriptions for Automatic Summarization of Fiction.
Weiwei Zhang, Jackie Chi Kit Cheung and Joel Oren
AAAI 2019
(2019-07-17)
aaai.org
Learning Multi-Task Communication with Message Passing for Sequence Learning
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu and Jackie Chi Kit Cheung
AAAI 2019
(2019-07-17)
aaai.orgPDF
Contextualized Non-Local Neural Networks for Sequence Learning
Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang and Jackie Chi Kit Cheung
Learning Options with Interest Functions
Khimya Khetarpal and Doina Precup
AAAI 2019
(2019-07-17)
www.aaai.org
Leveraging Observations in Bandits: Between Risks and Benefits
Andrei Lupu, Audrey Durand and Doina Precup
AAAI 2019
(2019-07-17)
aimagazine.org
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Eric Crawford and Joelle Pineau
AAAI 2019
(2019-07-17)
aaai.org
On-line Adaptative Curriculum Learning for GANs
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau and R. Devon Hjelm
Combined Reinforcement Learning via Abstract Representations
Vincent Francois-Lavet, Yoshua Bengio, Doina Precup and Joelle Pineau
Noisy Interactive Quantum Communication
Gilles Brassard, Ashwin Nayak, Alain Tapp, Dave Touchette and Falk Unger
SIAM Journal on Computing
(2019-07-16)
epubs.siam.org
Prediction of mRNA subcellular localization using deep recurrent neural networks.
Zichao Yan, Eric Lécuyer and Mathieu Blanchette
Bioinformatics
(2019-07-15)
academic.oup.com
Large-scale mammalian genome rearrangements coincide with chromatin interactions.
Krister M Swenson and Mathieu Blanchette
Bioinformatics
(2019-07-15)
academic.oup.comPDF
Learning Neural Networks with Adaptive Regularization
Han Zhao, Yao Hung Hubert Tsai, Ruslan Salakhutdinov and Geoffrey J. Gordon
Predictive learning extracts latent space representations from sensory observations
Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti and Eric Shea-Brown
bioRxiv
(2019-07-13)
www.biorxiv.orgPDF
Machine learning and signed particles, an alternative and efficient way to simulate quantum systems
Jean Michel Sellier, Kristina G. Kapanova, Jacob Leygonie and Gaetan Marceau Caron
International Journal of Quantum Chemistry
(2019-07-12)
onlinelibrary.wiley.com
Hyperparameter optimization in black-box image processing using differentiable proxies
Ethan Tseng, Felix Yu, Yuting Yang, Fahim Mannan, Karl St. Arnaud, Derek Nowrouzezahrai, Jean-François Lalonde and Felix Heide
ACM Transactions on Graphics
(2019-07-12)
collaborate.princeton.edu
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries.
Alexandra Olteanu, Carlos Castillo, Fernando Diaz and Emre Kıcıman
Frontiers in Big Data
(2019-07-11)
europepmc.orgPDF
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz and Emine Yilmaz
arXiv preprint arXiv:1907.03693
(2019-07-08)
ui.adsabs.harvard.eduPDF
A Sybil-Resistant Truth Discovery Framework for Mobile Crowdsensing
Jian Lin, Dejun Yang, Kun Wu, Jian Tang and Guoliang Xue
ICDCS 2019
(2019-07-07)
asu.pure.elsevier.com
B-IoT: Blockchain Driven Internet of Things with Credit-Based Consensus Mechanism
Junqin Huang, Linghe Kong, Guihai Chen, Long Cheng, Kaishun Wu and Xue Liu
ICDCS 2019
(2019-07-07)
doi.org
Smoother: A Smooth Renewable Power-Aware Middleware
Xinxin Liu, Yu Hua, Xue Liu, Ling Yang and Yuanyuan Sun
ICDCS 2019
(2019-07-07)
ieeexplore.ieee.org
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
arXiv preprint arXiv:1907.03179
(2019-07-06)
dblp.uni-trier.dePDF
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
Srinivas Venkattaramanujam, Eric Crawford, Thang Doan and Doina Precup
arXiv preprint arXiv:1907.02998
(2019-07-05)
ui.adsabs.harvard.eduPDF
Learning the Arrow of Time
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme and Yoshua Bengio
arXiv: Learning
(2019-07-02)
dblp.uni-trier.dePDF
Scalable Virtual Ray Lights Rendering for Participating Media
Nicolas Vibert, Adrien Gruson, Heine Stokholm, Troels Mortensen, Wojciech Jarosz, Toshiya Hachisuka and Derek Nowrouzezahrai
Computer Graphics Forum
(2019-07-01)
diglib.cgv.tugraz.at
A Cross-Domain Transferable Neural Coherence Model
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao and Jackie Chi Kit Cheung
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar and Yoshua Bengio

2019-06

The Thermodynamic Variational Objective
Vaden Masrani, Tuan Anh Le and Frank Wood
Morphological Irregularity Correlates with Frequency
Shijie Wu, Ryan Cotterell and Timothy J. O'Donnell
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah and Christopher J. Pal
arXiv preprint arXiv:1906.11951
(2019-06-27)
ui.adsabs.harvard.eduPDF
Learning Causal State Representations of Partially Observable Environments
Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau and Tommaso Furlanello
arXiv preprint arXiv:1906.10437
(2019-06-25)
ui.adsabs.harvard.eduPDF
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
Charles C. Onu, Jonathan Lebensold, William L. Hamilton and Doina Precup
Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar and Aaron C. Courville
arXiv: Learning
(2019-06-24)
ui.adsabs.harvard.eduPDF
Investigating Biases in Textual Entailment Datasets.
Shawn Tan, Yikang Shen, Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1906.09635
(2019-06-23)
ui.adsabs.harvard.eduPDF
A Cross-National Study of Consumer Behaviour, Innovativeness and Apparel
Osmud Rahman, Zhimin Chen, Benjamin C.M. Fung and Devender Devender Kharb
(venue unknown)
(2019-06-22)
e-space.mmu.ac.uk
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang and Jian Tang
arXiv preprint arXiv:1906.09506
(2019-06-22)
ui.adsabs.harvard.eduPDF
Adversarial training approach for local data debiasing
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu and Alain Tapp
arXiv: Learning
(2019-06-19)
arxiv.orgPDF
Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
(venue unknown)
(2019-06-19)
papyrus.bib.umontreal.ca
Applications of complex numbers to deep neural networks
(venue unknown)
(2019-06-19)
papyrus.bib.umontreal.ca
Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach.
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu and Alain Tapp
arXiv preprint arXiv:1906.07858
(2019-06-19)
ui.adsabs.harvard.edu
Adversarial Task-Specific Privacy Preservation under Attribute Attack.
Han Zhao, Jianfeng Chi, Yuan Tian and Geoffrey J. Gordon
(venue unknown)
(2019-06-19)
dblp.uni-trier.de
GEAR: Geometry-Aware Rényi Information.
Jose Gallego-Posada, Ankit Vani, Max Schwarzer and Simon Lacoste-Julien
(venue unknown)
(2019-06-19)
dblp.uni-trier.de
GAIT: A Geometric Approach to Information Theory
Jose Gallego, Ankit Vani, Max Schwarzer and Simon Lacoste-Julien
arXiv preprint arXiv:1906.08325
(2019-06-19)
ui.adsabs.harvard.eduPDF
On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Mangazol, Yoshua Bengio and Nicolas Le Roux
arXiv preprint arXiv:1906.07774
(2019-06-18)
ui.adsabs.harvard.edu
Information matrices and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio and Nicolas Le Roux
(venue unknown)
(2019-06-18)
dblp.uni-trier.dePDF
Heterogeneous Robot Teams for Informative Sampling.
Travis Manderson, Sandeep Manjanna and Gregory Dudek
arXiv: Robotics
(2019-06-17)
ui.adsabs.harvard.eduPDF
Lower Bounds and Conditioning of Differentiable Games.
Adam Ibrahim, Waïss Azizian, Gauthier Gidel and Ioannis Mitliagkas
(venue unknown)
(2019-06-17)
dblp.uni-trier.dePDF
Anomaly Detection with Joint Representation Learning of Content and Connection
Junhao Wang, Renhao Wang, Aayushi Kulshrestha and Reihaneh Rabbany
arXiv preprint arXiv:1906.12328
(2019-06-16)
ui.adsabs.harvard.eduPDF
Conditional Computation for Continual Learning
Min Lin, Jie Fu and Yoshua Bengio
arXiv preprint arXiv:1906.06635
(2019-06-16)
ui.adsabs.harvard.eduPDF
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang and Binghui Chen
Signed particles and neural networks, towards efficient simulations of quantum systems
Jean Michel D. Sellier, Gaétan Marceau Caron and Jacob Leygonie
Journal of Computational Physics
(2019-06-15)
www.sciencedirect.com
Distinct roles of parvalbumin and somatostatin interneurons in the synchronization of spike-times in the neocortex
Hyun Jae Jang, Hyowon Chung, James M. Rowland, Blake A. Richards, Michael M. Kohl and Jeehyun Kwag
Unknown Journal
(2019-06-15)
koreauniv.pure.elsevier.com
Reinforcement Learning with Non-uniform State Representations for Adaptive Search
Sandeep Manjanna, Herke van Hoof and Gregory Dudek
arXiv preprint arXiv:1906.06588
(2019-06-15)
ui.adsabs.harvard.edu
Distinct roles of parvalbumin and somatostatin interneurons in the synchronization of spike-times in the neocortex
Hyun Jae Jang, Hyowon Chung, James M. Rowland, Blake A. Richards, Michael M. Kohl and Jeehyun Kwag
bioRxiv
(2019-06-15)
www.dpag.ox.ac.ukPDF
Neocortical inhibitory interneuron subtypes display distinct responses to synchrony and rate of inputs
Matthew M. Tran, Luke Y. Prince, Dorian Gray, Lydia Saad, Helen Chasiotis, Jeehyun Kwag, Michael M. Kohl and Blake A. Richards
Unknown Journal
(2019-06-14)
koreauniv.pure.elsevier.com
Neocortical inhibitory interneuron subtypes display distinct responses to synchrony and rate of inputs
Matthew M. Tran, Luke Y. Prince, Dorian Gray, Lydia Saad, Helen Chasiotis, Jeehyun Kwag, Michael M. Kohl and Blake A. Richards
bioRxiv
(2019-06-14)
www.dpag.ox.ac.ukPDF
A Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien and Gauthier Gidel
arXiv: Learning
(2019-06-13)
arxiv.org
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training.
William Harvey, Michael Teng and Frank Wood
arXiv preprint arXiv:1906.05462
(2019-06-13)
ui.adsabs.harvard.eduPDF
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz and Jackie Chi Kit Cheung
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien and Gauthier Gidel
arXiv: Learning
(2019-06-13)
ui.adsabs.harvard.eduPDF
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.
(venue unknown)
(2019-06-13)
dblp.uni-trier.dePDF
Learning to evoke complex motor outputs with spatiotemporal neurostimulation using a hierarchical and adaptive optimization algorithm
Samuel Laferriere, Marco Bonizzato, Numa Dancause and Guillaume Lajoie
bioRxiv
(2019-06-11)
www.biorxiv.orgPDF
Learning Powerful Policies by Using Consistent Dynamics Model.
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine and Jian Tang
arXiv preprint arXiv:1906.04355
(2019-06-11)
dblp.uni-trier.dePDF
Examining the influential factors for continued social media use: A comparison of social networking and microblogging
Qian Liu, Zhen Shao, Jian Tang and Weiguo Fan
Industrial Management and Data Systems
(2019-06-10)
www.emerald.com
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig... (2 more)
arXiv preprint arXiv:1906.05433
(2019-06-10)
ui.adsabs.harvard.eduPDF
DeepMDP: Learning Continuous Latent Space Models with Theoretical Guarantees
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum and Marc Bellemare
ICML 2019
(2019-06-09)
icml.cc
Compositional Invariance Constraints for Graph Embeddings
Avishek Bose and William Hamilton
ICML 2019
(2019-06-09)
icml.cc
Note on the bias and variance of variational inference.
Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1906.03708
(2019-06-09)
ui.adsabs.harvard.eduPDF
Attending Over Triads for Learning Signed Network Embedding.
Shagun Sodhani, Meng Qu and Jian Tang
Frontiers in Big Data
(2019-06-06)
europepmc.org
Volume Path Guiding Based on Zero-Variance Random Walk Theory
Sebastian Herholz, Yangyang Zhao, Oskar Elek, Derek Nowrouzezahrai, Hendrik P. A. Lensch and Jaroslav Křivánek
ACM Transactions on Graphics
(2019-06-05)
dl.acm.org
Dissociating memory accessibility and precision in forgetting [Collection]
Sam Berens, Blake A. Richards and Aidan Horner
(venue unknown)
(2019-06-05)
figshare.com
Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems
Pierre Coste, Andrea Lodi and Gilles Pesant
CPAIOR 2019
(2019-06-04)
doi.org
Learning MILP Resolution Outcomes Before Reaching Time-Limit
Martina Fischetti, Andrea Lodi and Giulia Zarpellon
CPAIOR 2019
(2019-06-04)
doi.org
Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar and Alain Tapp
View-dependent Radiance Caching
Yangyang Zhao, Laurent Belcour and Derek Nowrouzezahrai
GI 2019
(2019-06-03)
dl.acm.org
A Frequency Analysis and Dual Hierarchy for Efficient Rendering of Subsurface Scattering
David Milaenen, Laurent Belcour, Jean-Philippe Guertin, Toshiya Hachisuka and Derek Nowrouzezahrai
GI 2019
(2019-06-03)
dl.acm.org
GreenBroker: Optimal Electric Vehicle Park-and-Charge Control via Vehicle-to-Infrastructure Communication
Qiao Xiang, Linghe Kong, Xi Chen, Zhe Wang, Lei Rao and Xue Liu
BLACKSEACOM 2019
(2019-06-03)
doi.org
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm and William Buchwalter
Continual Learning of New Sound Classes Using Generative Replay
Zhepei Wang, Cem Subakan, Efthymios Tzinis, Paris Smaragdis and Laurent Charlin
Structural Robustness for Deep Learning Architectures
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
ieeexplore.ieee.org
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
arXiv: Learning
(2019-06-02)
ui.adsabs.harvard.eduPDF
Learning Domain Randomization Distributions for Transfer of Locomotion Policies.
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
(venue unknown)
(2019-06-02)
dblp.uni-trier.dePDF
Dimensionality compression and expansion in Deep Neural Networks.
Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie and Eric Shea-Brown
arXiv: Learning
(2019-06-02)
ui.adsabs.harvard.eduPDF
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon and Jian Tang
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
hal.archives-ouvertes.frPDF
Structural Robustness for Deep Learning Architectures
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
ieeexplore.ieee.orgPDF
Improved Bounds for Max Consensus in Wireless Networks
Aida Nowzari and Michael G. Rabbat
SIPN 2019
(2019-06-01)
ieeexplore.ieee.org
Tulip: An open-source interior-point linear optimization solver with abstract linear algebra
Miguel F. Anjos, Andrea Lodi and Mathieu Tanneau
Les Cahiers du GERAD
(2019-06-01)
www.gerad.ca
QPLIB: a library of quadratic programming instances
Fabio Furini, Emiliano Traversi, Pietro Belotti, Antonio Frangioni, Ambros M. Gleixner, Nick Gould, Leo Liberti, Andrea Lodi, Ruth Misener, Hans D. Mittelmann, Nikolaos V. Sahinidis, Stefan Vigerske and Angelika Wiegele
Mathematical Programming Computation
(2019-06-01)
mpc.zib.dePDF
An empirical study on aggregation of alternatives and its influence on prediction in car type choice models
Shiva Habibi, Emma Frejinger and Marcus Sundberg
Transportation
(2019-06-01)
link.springer.comPDF
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples
Krtin Kumar and Jackie Chi Kit Cheung
NAACL 2019
(2019-06-01)
aclanthology.org
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh and Jackie Chi Kit Cheung
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau and Michael Rabbat

2019-05

Fine-grained zero-shot recognition with metric rescaling.
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro and Christopher J. Pal
(venue unknown)
(2019-05-31)
dblp.uni-trier.dePDF
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
Adverse Event Prediction by Telemonitoring and Deep Learning
Antoine Prouvost, Andrea Lodi, Louis-Martin Rousseau and Jonathan Vallee
International Conference on Human-Centred Software Engineering
(2019-05-30)
www.scilit.net
Investigating Trust Factors in Human-Robot Shared Control: Implicit Gender Bias Around Robot Voice
Alex Wong, Anqi Xu and Gregory Dudek
CRV 2019
(2019-05-29)
ieeexplore.ieee.org
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal and Jiancheng Lv
(venue unknown)
(2019-05-29)
dblp.uni-trier.de
Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning
Junqiang Liu, Xinyi Ju, Xingxing Zhang, Benjamin C. M. Fung, Xiangcai Yang and Changhong Yu
IEEE Access
(2019-05-28)
doi.org
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement.
Peng Xu, Yanshuai Cao and Jackie Chi Kit Cheung
(venue unknown)
(2019-05-28)
dblp.uni-trier.de
Activity-based analysis of open source software contributors: roles and dynamics
Jinghui Cheng and Jin L. C. Guo
Singular value automata and approximate minimization
Mathematical Structures in Computer Science
(2019-05-27)
ui.adsabs.harvard.eduPDF
Bit-Slicing FPGA Accelerator for Quantized Neural Networks
Olexa Bilaniuk, Sean Wagner, Yvon Savaria and Jean-Pierre David
ISCAS 2019
(2019-05-26)
ieeexplore.ieee.org
Generalizable Adversarial Attacks Using Generative Models.
Avishek Joey Bose, Andre Cianflone and William L. Hamilton
(venue unknown)
(2019-05-26)
dblp.uni-trier.de
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
Avishek Joey Bose, Andre Cianflone and William L. Hamilton
arXiv preprint arXiv:1905.10864
(2019-05-26)
ui.adsabs.harvard.eduPDF
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio and Michael C. Mozer
arXiv preprint arXiv:1905.11382
(2019-05-26)
ui.adsabs.harvard.eduPDF
Analysis and detection of information types of open source software issue discussions
Deeksha Arya, Wenting Wang, Jin L. C. Guo and Jinghui Cheng
Understanding the impact of entropy on policy optimization
Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi and Dale Schuurmans
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas and Michael G. Rabbat
Amortized Monte Carlo Integration
Adam Golinski, Frank Wood and Tom Rainforth
Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields.
Nagesh K. Subbanna, Deepthi Rajashekar, Bastian Cheng, Götz Thomalla, Jens Fiehler, Tal Arbel and Nils D. Forkert
Frontiers in Neurology
(2019-05-24)
europepmc.org
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger and Doina Precup
Fairwashing: the risk of rationalization
Ulrich Aivodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara and Alain Tapp
Statistics and Samples in Distributional Reinforcement Learning.
Mark Rowland, Robert Dadashi, Saurabh Kumar, Remi Munos, Marc G. Bellemare and Will Dabney
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum and Marc G. Bellemare
The Value Function Polytope in Reinforcement Learning
Robert Dadashi, Adrien Ali Taiga, Nicolas Le Roux, Dale Schuurmans and Marc G. Bellemare
On learning invariant representations for domain adaptation
Han Zhao, Remi Tachet des Combes, Kun Zhang and Geoffrey J. Gordon
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose and William L. Hamilton
Per-Decision Option Discounting
Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Nowe and Doina Precup
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas L. Arnold and Tal Arbel
International Conference on Medical Imaging with Deep Learning
(2019-05-24)
proceedings.mlr.pressPDF
Separating value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati, Emma Brunskill, Joelle Pineau and Yann Ollivier
TarMAC: Targeted Multi-Agent Communication
Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael G. Rabbat and Joelle Pineau
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk and Ioannis Mitliagkas
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel and Simon Lacoste-Julien
Unreproducible Research is Reproducible
Xavier Bouthillier, César Laurent and Pascal Vincent
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio and Michael Mozer
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF
GMNN: Graph Markov Neural Networks
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz and Yoshua Bengio
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio and Aaron C. Courville
Recurrent Value Functions.
Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup and Joelle Pineau
arXiv preprint arXiv:1905.09562
(2019-05-23)
ui.adsabs.harvard.eduPDF
ICLR Reproducibility Challenge 2019
Joelle Pineau, Koustuv Sinha, Genevieve Fried, Rosemary Nan Ke and Hugo Larochelle
(venue unknown)
(2019-05-22)
zenodo.orgPDF
The Journey is the Reward: Unsupervised Learning of Influential Trajectories.
Jonathan Binas, Sherjil Ozair and Yoshua Bengio
arXiv preprint arXiv:1905.09334
(2019-05-22)
dblp.uni-trier.dePDF
Fast non-uniform radiance probe placement and tracing
Yue Wang, Soufiane Khiat, Paul G. Kry and Derek Nowrouzezahrai
I3D 2019
(2019-05-21)
dl.acm.org
Privacy-Preserving and Trustworthy Mobile Sensing with Fair Incentives
Haiqin Wu, Liangmin Wang, Guoliang Xue, Jian Tang and Dejun Yang
ICC 2019
(2019-05-20)
asu.pure.elsevier.com
A Deep Recurrent Neural Network Based Predictive Control Framework for Reliable Distributed Stream Data Processing
Jielong Xu, Jian Tang, Zhiyuan Xu, Chengxiang Yin, Kevin Kwiat and Charles Kamhoua
IPDPS 2019
(2019-05-20)
doi.org
Underwater Communication Using Full-Body Gestures and Optimal Variable-Length Prefix Codes
Karim Koreitem, Jimmy Li, Ian Karp, Travis Manderson and Gregory Dudek
ICRA 2019
(2019-05-20)
ieeexplore.ieee.org
Semantic Mapping for View-Invariant Relocalization
ICRA 2019
(2019-05-20)
ieeexplore.ieee.org
Generating Adversarial Driving Scenarios in High-Fidelity Simulators
Yasasa Abeysirigoonawardena, Florian Shkurti and Gregory Dudek
ICRA 2019
(2019-05-20)
ieeexplore.ieee.org
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio and Liam Paull
Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization
Steven H. H. Ding, Benjamin C. M. Fung and Philippe Charland
S&P 2019
(2019-05-19)
www.computer.org
Prediction of Progression to Alzheimer's disease with Deep InfoMax
Alex Fedorov, R Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey Plis and Vince D. Calhoun
In Support of Over-Parametrization in Deep Reinforcement Learning: an Empirical Study
Brady Neal and Ioannis Mitliagkas
(venue unknown)
(2019-05-17)
openreview.net
Leveraging exploration in off-policy algorithms via normalizing flows
Bogdan Mazoure, Thang Doan, Audrey Durand, R Devon Hjelm and Joelle Pineau
arXiv preprint arXiv:1905.06893
(2019-05-16)
ui.adsabs.harvard.eduPDF
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Jian Tang and Meng Qu
WWW 2019
(2019-05-13)
hgpu.org
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Jian Tang and Meng Qu
WWW 2019
(2019-05-13)
hgpu.orgPDF
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste and Aaron C. Courville
Provably Accelerated Randomized Gossip Algorithms
Nicolas Loizou, Michael Rabbat and Peter Richtarik
ICASSP 2019
(2019-05-12)
ui.adsabs.harvard.eduPDF
How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages
Jessica A.F. Thompson, Marc Schonwiesner, Yoshua Bengio and Daniel Willett
ICASSP 2019
(2019-05-12)
ieeexplore.ieee.org
Representation Mixing for TTS Synthesis
Kyle Kastner, Joao Felipe Santos, Yoshua Bengio and Aaron Courville
The Pytorch-kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet and Yoshua Bengio
Exploring the relationships between gamification and motivational needs in technology design
Jian Tang and Ping Zhang
International Journal in Computer Simulation
(2019-05-10)
www.emerald.com
Deep Generative and Discriminative Domain Adaptation
Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates and Geoff Gordon
AAMAS 2019
(2019-05-08)
experts.illinois.edu
Building Knowledge for AI Agents with Reinforcement Learning
AAMAS 2019
(2019-05-08)
dblp.uni-trier.de
On the Pitfalls of Measuring Emergent Communication
Ryan Lowe, Jakob Foerster, Y-Lan Boureau, Joelle Pineau and Yann Dauphin
Learning Graphs From Data: A Signal Representation Perspective
Xiaowen Dong, Dorina Thanou, Michael Rabbat and Pascal Frossard
IEEE Signal Processing Magazine
(2019-05-06)
doi.org
Learning Graphs From Data: A Signal Representation Perspective
Xiaowen Dong, Dorina Thanou, Michael Rabbat and Pascal Frossard
IEEE Signal Processing Magazine
(2019-05-06)
doi.orgPDF
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai and Alec Jacobson
ICLR 2019
(2019-05-06)
iclr.cc
Representation Learning on Graphs and Manifolds
William Hamilton, Frederic Sala, Peter Battaglia, Joan Bruna, Thomas Kipf, Yujia Li, Razvan Pascanu, Adriana Romero, Petar Veličković, Marinka Zitnik, Maximilian Nickel, Beliz Gunel, Albert Gu and Christopher Re
ICLR 2019
(2019-05-06)
iclr.cc
Task-Agnostic Reinforcement Learning (TARL)
Danijar Hafner, Deepak Pathak, Frederik Ebert, Marc G Bellemare, Raia Hadsell, Rowan McAllister, Amy Zhang, Joelle Pineau, Ahmed Touati and Roberto Calandra
ICLR 2019
(2019-05-06)
iclr.cc
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie and Jian Tang
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni and Aaron Courville
ICLR 2019
(2019-05-06)
www.microsoft.com
Reproducibility in Machine Learning
Nan Rosemary Ke, Alex Lamb, Anirudh Goyal Alias Parth Goyal, Aaron Courville and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.cc
Modeling the Long Term Future in Model-Based Reinforcement Learning
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal Alias Parth Goyal, Yoshua Bengio, Devi Parikh and Dhruv Batra
ICLR 2019
(2019-05-06)
iclr.ccPDF
AI for Social Good
Margaux Luck, Joseph Paul Cohen, Myriam Cote, Kris Sankaran, Sean McGregor, Virgile Sylvain, Jonnie Penn, Tristan Sylvain, Geneviève Boucher, Rayid Ghani, Yoshua Bengio and Kentaro Toyama
ICLR 2019
(2019-05-06)
iclr.cc
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio and Amos Storkey
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Vincent Francois-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst and Raphael Fonteneau
Journal of Artificial Intelligence Research
(2019-05-05)
orbi.ulg.ac.bePDF
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Veličković, Pietro Liò and Jian Tang
arXiv preprint arXiv:1905.00534
(2019-05-02)
ui.adsabs.harvard.eduPDF
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study
Wenting Wang, Jinghui Cheng and Jin L.C. Guo
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes and Yoshua Bengio
arXiv preprint arXiv:1905.03709
(2019-05-02)
ui.adsabs.harvard.eduPDF
A Survey on Gradient-Domain Rendering
Binh-Son Hua, Adrien Gruson, Victor Petitjean, Matthias Zwicker, Derek Nowrouzezahrai, Elmar Eisemann and Toshiya Hachisuka
Computer Graphics Forum
(2019-05-01)
diglib.eg.org
Moving beyond reward prediction errors
Nature Machine Intelligence
(2019-05-01)
www-nature-com-443.webvpn.bjmu.tsg211.com
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup and David Meger
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega
arXiv preprint arXiv:1905.00301
(2019-05-01)
arxiv.orgPDF
Structure Learning for Neural Module Networks.
Vardaan Pahuja, Jie Fu, Sarath Chandar and Christopher Joseph Pal
A Highly Adaptive Acoustic Model for Accurate Multi-dialect Speech Recognition
Sanghyun Yoo, Inchul Song and Yoshua Bengio
ICASSP 2019
(2019-05-01)
dblp.uni-trier.de

2019-04

Faster and More Accurate Trace-based Policy Evaluation via Overall Target Error Meta-Optimization
Mingde Zhao, Ian Porada, Sitao Luan, Xiaowen Chang and Doina Precup
(venue unknown)
(2019-04-25)
arxiv.org
META-Learning State-based {\lambda} for More Sample-Efficient Policy Evaluation
Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang and Doina Precup
arXiv: Learning
(2019-04-25)
arxiv.orgPDF
A deep neural network approach to investigate tone space in languages
Bing'er Jiang, Tim O'Donnell and Meghan Clayards
Journal of the Acoustical Society of America
(2019-04-23)
asa.scitation.org
Compositional generalization in a deep seq2seq model by separating syntax and semantics.
Jake Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
arXiv preprint arXiv:1904.09708
(2019-04-22)
dblp.uni-trier.dePDF
Human Motion Prediction Via Pattern Completion in Latent Representation Space
Yi Tian Xu, Yaqiao Li and David Meger
Do Lateral Views Help Automated Chest X-ray Predictions?
Hadrien Bertrand, Mohammad Hashir and Joseph Paul Cohen
International Conference on Medical Imaging with Deep Learning -- Extended Abstract Track
(2019-04-17)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1904.08534 (2019-04-17)]
Solving Quadratic Programming by Cutting Planes
Pierre Bonami, Andrea Lodi, Jonas Schweiger and Andrea Tramontani
Siam Journal on Optimization
(2019-04-16)
epubs.siam.org
GradMask: Reduce Overfitting by Regularizing Saliency.
Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
International Conference on Medical Imaging with Deep Learning -- Extended Abstract Track
(2019-04-16)
dblp.uni-trier.dePDF[Also on arXiv preprint arXiv:1904.07478 (2019-04-16)]
An Algorithm for Assortment Optimization Under Parametric Discrete Choice Models
Tien Mai and Andrea Lodi
Social Science Research Network
(2019-04-12)
papers.ssrn.com
Spatio-Temporal Deep Graph Infomax.
Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò and R. Devon Hjelm
arXiv preprint arXiv:1904.06316
(2019-04-12)
ui.adsabs.harvard.eduPDF
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang and Frank Wood
Distributional reinforcement learning with linear function approximation
Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro and Subhodeep Moitra
The Termination Critic
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Remi Munos and Doina Precup
Multitask Metric Learning: Theory and Algorithm
Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen and Joelle Pineau
AISTATS 2019
(2019-04-11)
proceedings.mlr.pressPDF
Negative Momentum for Improved Game Dynamics
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Rémi Le Priol, Simon Lacoste-Julien and Ioannis Mitliagkas
AISTATS 2019
(2019-04-11)
proceedings.mlr.pressPDF
Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal and Liam Paull
Reinforced Imitation in Heterogeneous Action Space.
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn and Pedro O. Pinheiro
arXiv preprint arXiv:1904.03438
(2019-04-06)
ui.adsabs.harvard.eduPDF
Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks.
Santiago Pascual, Mirco Ravanelli, Joan Serrà, Antonio Bonafonte and Yoshua Bengio
Flight-connection prediction for airline crew scheduling to construct initial clusters for OR optimizer
Yassine Yaakoubi, Simon Lacoste-Julien and François Soumis
Les Cahiers du GERAD
(2019-04-01)
www.gerad.ca
Distributed Data Center Bandwidth Allocation for Cloud-Based Streaming
Fanxin Kong, Xingjian Lu and Xue Liu
IEEE Transactions on Sustainable Computing
(2019-04-01)
doi.org
Rapid Genetic Code Evolution in Green Algal Mitochondrial Genomes
Emmanuel Noutahi, Virginie Calderon, Mathieu Blanchette, Nadia El-Mabrouk and Bernd Franz Lang
Molecular Biology and Evolution
(2019-04-01)
academic.oup.com

2019-03

An Introduction to Deep Reinforcement Learning
Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare and Joelle Pineau
MLSys: The New Frontier of Machine Learning Systems
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons... (49 more)
arXiv preprint arXiv:1904.03257
(2019-03-29)
ui.adsabs.harvard.eduPDF
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh and Yoshua Bengio
arXiv preprint arXiv:1903.11741
(2019-03-28)
aps.arxiv.orgPDF
A RAD approach to deep mixture models
Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu and Hugo Larochelle
ICLR 2019
(2019-03-27)
dblp.uni-trier.de
Dataflow-Based Joint Quantization for Deep Neural Networks
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed Aly, Christopher Pal and Vijay Chandrasekhar
DCC 2019
(2019-03-26)
ieeexplore.ieee.org
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu and Yanzhi Wang
arXiv preprint arXiv:1903.09769
(2019-03-23)
ui.adsabs.harvard.eduPDF
Towards Standardization of Data Licenses: The Montreal Data License
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio and Alex Shee
arXiv preprint arXiv:1903.12262
(2019-03-21)
ui.adsabs.harvard.eduPDF
Online continual learning with no task boundaries.
Rahaf Aljundi, Min Lin, Baptiste Goujaud and Yoshua Bengio
(venue unknown)
(2019-03-20)
dblp.uni-trier.dePDF
Exploring the impact of game framing and task framing on user participation in citizen science projects
Jian Tang and Nathan R. Prestopnik
AJIM 2019
(2019-03-18)
www.emerald.com
A RAD approach to deep mixture models
Laurent Dinh, Jascha Sohl-Dickstein, Hugo Larochelle and Razvan Pascanu
arXiv: Learning
(2019-03-18)
ui.adsabs.harvard.eduPDF
Counterpoint by Convolution
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville and Douglas Eck
arXiv preprint arXiv:1903.07227
(2019-03-18)
aps.arxiv.orgPDF
Learning proposals for sequential importance samplers using reinforced variational inference.
Zafarali Ahmed, Arjun Karuvally, Doina Precup and Simon Gravel
ICLR 2019
(2019-03-16)
dblp.uni-trier.dePDF
Gated Orthogonal Recurrent Units: On Learning to Forget
Li Jing, Caglar Gulcehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic and Yoshua Bengio
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases
Eugene Vorontsov, Milena Cerny, Philippe Régnier, Lisa Di Jorio, Christopher J. Pal, Réal Lapointe, Franck Vandenbroucke-Menu, Simon Turcotte, Samuel Kadoury and An Tang
Radiology: Artificial Intelligence
(2019-03-13)
europepmc.orgPDF
Imitation Learning of Factored Multi-agent Reactive Models
Michael Teng, Tuan Anh Le, Adam Scibior and Frank Wood
arXiv: Learning
(2019-03-12)
ui.adsabs.harvard.eduPDF
Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning
Zhiyuan Xu, Jian Tang, Chengxiang Yin, Yanzhi Wang and Guoliang Xue
IEEE Journal on Selected Areas in Communications
(2019-03-11)
asu.pure.elsevier.com
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio and David Lopez-Paz
arXiv preprint arXiv:1903.03825
(2019-03-09)
ui.adsabs.harvard.eduPDF
Reconfigurable Battery Systems: A Survey on Hardware Architecture and Research Challenges
Shaheer Muhammad, M. Usman Rafique, Shuai Li, Zili Shao, Qixin Wang and Xue Liu
ACM Transactions on Design Automation of Electronic Systems
(2019-03-07)
dl.acm.org
Adversarial Mixup Resynthesizers
Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm and Christopher J. Pal
Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism
Junqin Huang, Linghe Kong, Guihai Chen, Min-You Wu, Xue Liu and Peng Zeng
IEEE Transactions on Industrial Informatics
(2019-03-06)
ieeexplore.ieee.org
Deep Active Localization
Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy and Liam Paull
arXiv preprint arXiv:1903.01669
(2019-03-05)
arxiv.orgPDF
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future.
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh and Dhruv Batra
arXiv preprint arXiv:1903.01599
(2019-03-05)
dblp.uni-trier.dePDF
Ten years of feasibility pump, and counting
Timo Berthold, Andrea Lodi and Domenico Salvagnin
EURO Journal on Computational Optimization
(2019-03-01)
link.springer.com
Improving NILM by Combining Sensor Data and Linear Programming
Nicolas Roux, Baptiste Vrigneau and Olivier Sentieys
SAS 2019
(2019-03-01)
dblp.uni-trier.de
Dynamic compression and expansion in a classifying recurrent network
Matthew Farrell, Stefano Recanatesi, Guillaume Lajoie and Eric Shea-Brown
bioRxiv
(2019-03-01)
www.biorxiv.orgPDF
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang and Ming Zhang

2019-02

2C-ChIP: measuring chromatin immunoprecipitation signal from defined genomic regions with deep sequencing
Xue Qing David Wang, Christopher J. F. Cameron, Denis Paquette, Dana Segal, Reid Warsaba, Mathieu Blanchette and Josée Dostie
BMC Genomics
(2019-02-28)
bmcgenomics.biomedcentral.comPDF
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time
arXiv preprint arXiv:1902.08605
(2019-02-22)
ui.adsabs.harvard.eduPDF
Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification.
(venue unknown)
(2019-02-22)
dblp.uni-trier.dePDF
How Do the Open Source Communities Address Usability and UX Issues? An Exploratory Study
Jinghui Cheng and Jin L.C. Guo
arXiv preprint arXiv:1902.07704
(2019-02-20)
ui.adsabs.harvard.edu
Hyperbolic Discounting and Learning over Multiple Horizons
William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare and Hugo Larochelle
arXiv preprint arXiv:1902.06865
(2019-02-19)
ui.adsabs.harvard.eduPDF
Adaptive Sampling for Sound Propagation
Chakravarty R. Alla Chaitanya, John M. Snyder, Keith Godin, Derek Nowrouzezahrai and Nikunj Raghuvanshi
IEEE Transactions on Visualization and Computer Graphics
(2019-02-14)
doi.org
Searchable Storage in Cloud Computing
Xue Liu and Yu Hua
(venue unknown)
(2019-02-13)
www.amazon.com
Anytime Tail Averaging.
arXiv preprint arXiv:1902.05083
(2019-02-13)
ui.adsabs.harvard.eduPDF
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang and Michal Drozdzal
Learning the Dynamic Treatment Regimes from Medical Registry Data through Deep Q-network.
Ning Liu, Ying Liu, Brent Logan, Zhiyuan Xu, Jian Tang and Yanzhi Wang
Scientific Reports
(2019-02-06)
europepmc.org
Negative eigenvalues of the Hessian in deep neural networks
Guillaume Alain, Nicolas Le Roux and Pierre-Antoine Manzagol
arXiv preprint arXiv:1902.02366
(2019-02-06)
ui.adsabs.harvard.eduPDF
Multi-Channel Based Sybil Attack Detection in Vehicular Ad Hoc Networks Using RSSI
Yuan Yao, Bin Xiao, Gaofei Wu, Xue Liu, Zhiwen Yu, Kailong Zhang and Xingshe Zhou
IEEE Transactions on Mobile Computing
(2019-02-01)
doi.org
Dendritic solutions to the credit assignment problem.
Blake A Richards and Timothy P Lillicrap
Current Opinion in Neurobiology
(2019-02-01)
www.sciencedirect.com
The Impact of Time Interval between Extubation and Reintubation on Death or Bronchopulmonary Dysplasia in Extremely Preterm Infants.
Wissam Shalish, Lara Kanbar, Lajos Kovacs, Sanjay Chawla, Martin Keszler, Smita Rao, Bogdan Panaitescu, Alyse Laliberte, Doina Precup, Karen Brown, Robert E. Kearney and Guilherme M. Sant'Anna
The Journal of Pediatrics
(2019-02-01)
www.sciencedirect.com

2019-01

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward J. Smith, Scott Fujimoto, Adriana Romero and David Meger
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue.
Kory Wallace Mathewson, Pablo Samuel Castro, Colin Cherry, George F. Foster and Marc G. Bellemare
arXiv preprint arXiv:1901.11528
(2019-01-31)
ui.adsabs.harvard.eduPDF
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taïga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore and Clare Lyle
The Second Conversational Intelligence Challenge (ConvAI2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason Williams, Joelle Pineau, Mikhail S. Burtsev and Jason Weston
arXiv preprint arXiv:1902.00098
(2019-01-31)
ui.adsabs.harvard.eduPDF
Why rankings of biomedical image analysis competitions should be interpreted with care (vol 9, 5217, 2018)
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno Maerz, Oskar Maier... (18 more)
Nature Communications
(2019-01-30)
eprints.whiterose.ac.uk
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care.
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier... (18 more)
Nature Communications
(2019-01-30)
europepmc.org
Gated Attentive-Autoencoder for Content-Aware Recommendation
Chen Ma, Peng Kang, Bin Wu, Qinglong Wang and Xue Liu
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Clare Lyle, Pablo Samuel Castro and Marc G. Bellemare
arXiv preprint arXiv:1901.11084
(2019-01-30)
ui.adsabs.harvard.eduPDF
Session-Based Social Recommendation via Dynamic Graph Attention Networks
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang and Jian Tang
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio and Sergey Levine
arXiv preprint arXiv:1901.10902
(2019-01-30)
ui.adsabs.harvard.eduPDF
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
arXiv preprint arXiv:1901.10912
(2019-01-30)
ui.adsabs.harvard.eduPDF
On Learning Invariant Representation for Domain Adaptation
Han Zhao, Remi Tachet des Combes, Kun Zhang and Geoffrey J. Gordon
arXiv preprint arXiv:1901.09453
(2019-01-27)
ui.adsabs.harvard.eduPDF
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou and Yoshua Bengio
Maximum Entropy Generators for Energy-Based Models.
Rithesh Kumar, Anirudh Goyal, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1901.08508
(2019-01-24)
ui.adsabs.harvard.eduPDF
Towards a Knowledge-Based Recommender System for Linking Electronic Patient Records With Continuing Medical Education Information at the Point of Care
Manuel Gil, Reem El Sherif, Manon Pluye, Benjamin C. M. Fung, Roland Grad and Pierre Pluye
IEEE Access
(2019-01-23)
doi.org
A Hybrid Framework for Sentiment Analysis Using Genetic Algorithm Based Feature Reduction
Farkhund Iqbal, Jahanzeb Maqbool Hashmi, Benjamin C. M. Fung, Rabia Batool, Asad Masood Khattak, Saiqa Aleem and Patrick C. K. Hung
IEEE Access
(2019-01-21)
ieeexplore.ieee.orgPDF
Equivalence of Equilibrium Propagation and Recurrent Backpropagation.
Benjamin Scellier and Yoshua Bengio
Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS
Feng Tan, Liansheng Liu, Stefan Winter, Qixin Wang, Neeraj Suri, Lei Bu, Yu Peng, Xue Liu and Xiyuan Peng
ACM Transactions on Cyber-Physical Systems
(2019-01-16)
doi.org
Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior
Milad Ashouri, Fariborz Haghighat, Benjamin C.M. Fung and Hiroshi Yoshino
Energy and Buildings
(2019-01-15)
www.sciencedirect.com
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkovà, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal... (39 more)
arXiv preprint arXiv:1901.04056
(2019-01-13)
ui.adsabs.harvard.eduPDF
What comes next? Extractive summarization by next-sentence prediction.
Jingyun Liu, Jackie Chi Kit Cheung and Annie Louis
arXiv preprint arXiv:1901.03859
(2019-01-12)
ui.adsabs.harvard.eduPDF
The Benefits of Over-parameterization at Initialization in Deep ReLU Networks
Devansh Arpit and Yoshua Bengio
arXiv preprint arXiv:1901.03611
(2019-01-11)
dblp.uni-trier.dePDF
Wordnet-Based Criminal Networks Mining for Cybercrime Investigation
Farkhund Iqbal, Benjamin C. M. Fung, Mourad Debbabi, Rabia Batool and Andrew Marrington
IEEE Access
(2019-01-09)
doi.org
Cortical network mechanisms of anodal and cathodal transcranial direct current stimulation in awake primates
Andrew R. Bogaard, Guillaume Lajoie, Hayley Boyd, Andrew Morse, Stavros Zanos and Eberhard E. Fetz
bioRxiv
(2019-01-09)
www.biorxiv.orgPDF
EnviroNet: ImageNet analog for environment & global AI challenge
Gregory Dudek, Lucas Joppa, Valliappa Lakshmanan, Vipin Kumar and Surya Karthik Mukkavilli
99th American Meteorological Society Annual Meeting
(2019-01-08)
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal and Vijay Chandrasekhar
arXiv preprint arXiv:1901.02064
(2019-01-04)
ui.adsabs.harvard.eduPDF
Designing feedback information to encourage users' participation performances in citizen science projects
Jian Tang, Xinxue Zhou and Meihua Yu
ASIST 2019
(2019-01-01)
asistdl.onlinelibrary.wiley.com
Investigating the Influence of Task Complexity and Outcome Variety on User Performance in Crowdsourcing Projects
Mengxuan Bao, Jian Tang and Yanlin Ma
(venue unknown)
(2019-01-01)
aisel.aisnet.org
Examining the Effects of Feedback Type and Goal Orientation on User Participation Performance in Citizen Science Projects.
Xinxue Zhou, Jian Tang, Tianmei Wang and Tuotuo Qi
PACIS 2019
(2019-01-01)
aisel.aisnet.org
Examining the influential factors for continued social media use.
Qian Liu, Zhen Shao, Jian Tang and Weiguo Fan
Ind. Manag. Data Syst.
(2019-01-01)
dblp.uni-trier.de
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.
Raghav Mehta, Thomas Christinck, Tanya Nair, Paul Lemaître, Douglas L. Arnold and Tal Arbel
UNSURE/CLIP@MICCAI
(2019-01-01)
doi.org
Backgrounds of Searchable Storage
Yu Hua and Xue Liu
(venue unknown)
(2019-01-01)
link.springer.com
Semantic-Aware Metadata Organization for Exact-Matching Queries
Yu Hua and Xue Liu
(venue unknown)
(2019-01-01)
link.springer.com
Hashing Computation for Scalable Metadata
Yu Hua and Xue Liu
(venue unknown)
(2019-01-01)
link.springer.com
Near Real-Time Searchable Analytics for Images
Yu Hua and Xue Liu
(venue unknown)
(2019-01-01)
link.springer.com
The Component of Searchable Storage: Semantic-Aware Namespace
Yu Hua and Xue Liu
(venue unknown)
(2019-01-01)
link.springer.com
Semantic-Aware Data Cube for Cloud Networks
Yu Hua and Xue Liu
(venue unknown)
(2019-01-01)
link.springer.com
The AI Driving Olympics: An Accessible Robot Learning Benchmark
Andrea Censi, Liam Paull, Jacopo Tani and Matthew R. Walter
NEURIPS 2019
(2019-01-01)
www.research-collection.ethz.ch
The Option Keyboard: Combining Skills in Reinforcement Learning
André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver and Doina Precup
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan, Mingde Zhao, Xiao-Wen Chang and Doina Precup
Impulse Responses for Precomputing Light from Volumetric Media
Adrien Dubouchet, Peter-Pike Sloan, Wojciech Jarosz and Derek Nowrouzezahrai
EGSR (DL/I)
(2019-01-01)
diglib.eg.org
Graph-Based Compression for Distributed Particle Filters
Jun Ye Yu, Mark J. Coates and Michael G. Rabbat
SIPN 2019
(2019-01-01)
ieeexplore.ieee.org
Uncertainty Principle on Graphs
Bastien Pasdeloup, Vincent Gripon, Réda Alami and Michael G. Rabbat
(venue unknown)
(2019-01-01)
link.springer.com
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Alexander Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat and Frank Wood
NEURIPS 2019
(2019-01-01)
papers.nips.ccPDF
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow.
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh and Frank Wood
Learning Stylometric Representations for Authorship Analysis
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal and William K. Cheung
IEEE Transactions on Systems, Man, and Cybernetics
(2019-01-01)
europepmc.org
Evaluating systematicity in neural networks with natural language inference.
Emily Goodwin, Koustuv Sinha and Timothy J. O'Donnell
Cognitive Science
(2019-01-01)
dblp.uni-trier.de
On Robustness: An Undervalued Dimension of Human Rationality.
Ardavan Salehi Nobandegani, Kevin da Silva Castanheira, Timothy O'Donnell and Thomas R. Shultz
Cognitive Science
(2019-01-01)
dblp.uni-trier.de
HyperCo: Optimizing Network Performance in ARM-Based Mobile Virtualization
Jianguo Yao, Ting Deng, Xue Liu, Hans-Arno Jacobsen and Haibing Guan
IEEE Transactions on Services Computing
(2019-01-01)
ieeexplore.ieee.org
Indoor Localization Based on Channel State Information
Shabir Abdul Samadh, Qianyu Liu, Xue Liu, Negar Ghourchian and Michel Allegue
WISNET 2019
(2019-01-01)
ieeexplore.ieee.org
Bandwidth and Energy Efficient Image Sharing for Situation Awareness in Disasters
Pengfei Zuo, Yu Hua, Yuanyuan Sun, Xue Liu, Jie Wu, Yuncheng Guo, Wen Xia, Shunde Cao and Dan Feng
IEEE Transactions on Parallel and Distributed Systems
(2019-01-01)
doi.org
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links.
Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang and Patrick Mäder
SE/SWM
(2019-01-01)
doi.org
Bioinformatics Approaches to Gain Insights into cis-Regulatory Motifs Involved in mRNA Localization.
Louis Philip Benoit Bouvrette, Mathieu Blanchette and Eric Lécuyer
Advances in Experimental Medicine and Biology
(2019-01-01)
europepmc.org
A Decentralized Framework for the Optimal Coordination of Distributed Energy Resources
Miguel F. Anjos, Andrea Lodi and Mathieu Tanneau
IEEE Transactions on Power Systems
(2019-01-01)
ieeexplore.ieee.org
Towards modular and programmable architecture search
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon, Darshan Patil, Nghia Le and Daniel Ferreira
NEURIPS 2019
(2019-01-01)
papers.nips.ccPDF
Inherent Tradeoffs in Learning Fair Representations
Han Zhao and Geoffrey J. Gordon
Learning to evoke complex motor outputs with spatiotemporal neurostimulation using a hierarchical and adaptive optimization algorithm.
Samuel Laferriere, Guillaume Lajoie, Numa Dancause and Marco Bonizzato
2019 Conference on Cognitive Computational Neuroscience
(2019-01-01)
dx.doi.org
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun and Richard S. Zemel
NEURIPS 2019
(2019-01-01)
papers.nips.ccPDF
Community size effect in artificial learning systems.
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell and Doina Precup
ViGIL@NeurIPS
(2019-01-01)
dblp.uni-trier.de
Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
Hossein Aboutalebi, Doina Precup and Tibor Schuster
IJCAI 2019
(2019-01-01)
dblp.uni-trier.dePDF
Temporally Extended Metrics for Markov Decision Processes.
AAAI 2019
(2019-01-01)
dblp.uni-trier.dePDF
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
Hossein Aboutalebi, Doina Precup and Tibor Schuster
Leveraging exploration in off-policy algorithms via normalizing flows.
Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau and R. Devon Hjelm
Conference on Robot Learning
(2019-01-01)
proceedings.mlr.pressPDF
When AIs Outperform Doctors: Confronting the Challenges of a Tort-Induced Over-Reliance on Machine Learning
A. Michael Froomkin, Ian Kerr and Joelle Pineau
Online Continual Learning with Maximal Interfered Retrieval
Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin and Lucas Page-Caccia
NEURIPS 2019
(2019-01-01)
papers.nips.ccPDF
Reducing the variance in online optimization by transporting past gradients
Sébastien M. R. Arnold, Pierre-Antoine Manzagol, Reza Babanezhad, Ioannis Mitliagkas and Nicolas Le Roux
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret and Simon Lacoste-Julien
Probability Distillation: A Caveat and Alternatives.
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste and Aaron C. Courville
UAI 2019
(2019-01-01)
proceedings.mlr.pressPDF
Stochastic Neural Network with Kronecker Flow.
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste and Aaron C. Courville
InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio and Sergey Levine
(venue unknown)
(2019-01-01)
ai.google
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex M. Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio and Chris Pal
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Yoshua Bengio and Sergey Levine
ICLR 2019
(2019-01-01)
dblp.uni-trier.dePDF
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal, Philemon Brakel, Liam Fedus, Soumye Singhal, Timothy Lillicrap, Sergey Levine, Hugo Larochelle and Yoshua Bengio
Adversarial domain adaptation for stable brain-machine interfaces
Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller and Sara A. Solla
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio and Guillaume Lajoie
Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud and Yoshua Bengio
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine and Pierre Sermanet

2018-12

Regularized Binary Network Training
Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux and Vahid Partovi Nia
arXiv: Learning
(2018-12-31)
ui.adsabs.harvard.eduPDF
Ethical Challenges in Data-Driven Dialogue Systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe and Joelle Pineau
AAAI 2018
(2018-12-27)
dl.acm.org
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks.
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia and Yoshua Bengio
arXiv preprint arXiv:1812.11337
(2018-12-25)
hal.archives-ouvertes.frPDF
Double-Stranded Biotinylated Donor Enhances Homology-Directed Repair in Combination with Cas9 Monoavidin in Mammalian Cells.
Philip J R Roche, Heidi Gytz, Faiz Hussain, Christopher J F Cameron, Denis Paquette, Mathieu Blanchette, Josée Dostie, Bhushan Nagar and Uri David Akavia
The CRISPR journal
(2018-12-20)
pubmed.ncbi.nlm.nih.gov
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare and Joelle Pineau
(venue unknown)
(2018-12-20)
nowpublishers.comPDF
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung and Doina Precup
arXiv: Learning
(2018-12-18)
ui.adsabs.harvard.eduPDF
Prediction of Progression in Multiple Sclerosis Patients
Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas Arnold and Tal Arbel
International Conference on Medical Imaging with Deep Learning -- Full Paper Track
(2018-12-13)
openreview.netPDF
Speech and Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli and Yoshua Bengio
arXiv preprint arXiv:1812.05920
(2018-12-13)
ui.adsabs.harvard.eduPDF
Deep Learning recognizes weather and climate patterns
K. Kashinath, M. Prabhat, M. Mudigonda, A. Mahesh, S. K. Kim, Y. Liu, S. Kahou, B. A. Toms, E. Racah, C. Beckham, C. Pal, T. Maharaj, J. Biard, K. Kunkel, D. N. Williams, T. A. O'Brien, M. F. Wehner and W. D. Collins
AGU Fall Meeting Abstracts
(2018-12-10)
ui.adsabs.harvard.edu
An Efficient UAV Hijacking Detection Method Using Onboard Inertial Measurement Unit
Zhiwei Feng, Nan Guan, Mingsong Lv, Weichen Liu, Qingxu Deng, Xue Liu and Wang Yi
ACM Transactions in Embedded Computing Systems
(2018-12-08)
www.diva-portal.org
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
Jackie Chi Kit Cheung, Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman and Fernando Diaz
Critiquing and Correcting Trends in Machine Learning NeurIPS 2018 Workshop
(2018-12-07)
Effectiveness of Alter Sampling in Social Networks.
Naghmeh Momeni and Michael G. Rabbat
arXiv: Social and Information Networks
(2018-12-07)
ui.adsabs.harvard.eduPDF
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier... (18 more)
Nature Communications
(2018-12-06)
econpapers.repec.orgPDF
The effects of negative adaptation in Model-Agnostic Meta-Learning
Tristan Deleu and Yoshua Bengio
arXiv preprint arXiv:1812.02159
(2018-12-05)
ui.adsabs.harvard.eduPDF
Scalable appearance filtering for complex lighting effects
Luis E. Gamboa, Jean-Philippe Guertin and Derek Nowrouzezahrai
ACM Transactions on Graphics
(2018-12-04)
dl.acm.org
Recurrent transition networks for character locomotion
Félix G. Harvey and Christopher Pal
Faithful Inversion of Generative Models for Effective Amortized Inference
Stefan Webb, Adam Golinski, Rob Zinkov, Siddharth Narayanaswamy, Tom Rainforth, Yee Whye Teh and Frank Wood
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Bayesian Distributed Stochastic Gradient Descent
Michael Teng and Frank Wood
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Edward Smith, Scott Fujimoto and David Meger
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Dual Policy Iteration
Wen Sun, Geoffrey Gordon, Byron Boots and J. Bagnell
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Learning Beam Search Policies via Imitation Learning
Renato Negrinho, Matthew Gormley and Geoffrey Gordon
Adversarial Multiple Source Domain Adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Joao P Costeira and Geoffrey Gordon
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Embedding Logical Queries on Knowledge Graphs
Will Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky and Jure Leskovec
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Hierarchical graph representation learning with differentiable pooling
Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton and Jure Leskovec
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio and Sungjin Ahn
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
MetaGAN: an adversarial approach to few-shot learning
Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio and Yangqiu Song
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio and Walter Senn
Scheduling M2M traffic over LTE uplink of a dense small cell network
Melchiorre Danilo Abrignani, Lorenza Giupponi, Andrea Lodi and Roberto Verdone
Eurasip Journal on Wireless Communications and Networking
(2018-12-01)
jwcn-eurasipjournals.springeropen.comPDF
Towards Text Generation with Adversarially Learned Neural Outlines
Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron C. Courville and Chris Pal
NEURIPS 2018
(2018-12-01)
papers.nips.ccPDF
Deep convolutional networks for quality assessment of protein folds.
Georgy Derevyanko, Sergei Grudinin, Yoshua Bengio and Guillaume Lamoureux
Bioinformatics
(2018-12-01)
academic.oup.comPDF

2018-11

Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis
Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis and Joelle Pineau
Machine Learning for Healthcare Conference
(2018-11-29)
proceedings.mlr.pressPDF
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang and Michael Rabbat
arXiv preprint arXiv:1812.01711
(2018-11-28)
ui.adsabs.harvard.eduPDF
Understanding the impact of entropy in policy learning
Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi and Dale Schuurmans
(venue unknown)
(2018-11-27)
arxiv.org
Multi-task Learning over Graph Structures.
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu and Jackie Chi Kit Cheung
arXiv preprint arXiv:1811.10211
(2018-11-26)
ui.adsabs.harvard.eduPDF
Environments for Lifelong Reinforcement Learning.
Khimya Khetarpal, Shagun Sodhani, Sarath Chandar and Doina Precup
arXiv preprint arXiv:1811.10732
(2018-11-26)
dblp.uni-trier.dePDF
A Survey of Mobile Computing for the Visually Impaired.
Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal and Joseph Paul Cohen
arXiv preprint arXiv:1811.10120
(2018-11-25)
ui.adsabs.harvard.eduPDF
Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields
Johanna Hansen, Sandeep Manjanna, Alberto Quattrini Li, Ioannis Rekleitis and Gregory Dudek
OCEANS 2018
(2018-11-25)
ui.adsabs.harvard.eduPDF
Planning in Dynamic Environments with Conditional Autoregressive Models.
Johanna Hansen, Kyle Kastner, Aaron C. Courville and Gregory Dudek
arXiv preprint arXiv:1811.10097
(2018-11-25)
ui.adsabs.harvard.eduPDF
Keep Drawing It: Iterative language-based image generation and editing
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio and Graham W. Taylor
NEURIPS 2018
(2018-11-24)
[LATEST on None (2018-11-24)]
Interpretable Convolutional Filters with SincNet
Mirco Ravanelli and Yoshua Bengio
arXiv preprint arXiv:1811.09725
(2018-11-23)
ui.adsabs.harvard.eduPDF
A natural history of song [working paper]
Samuel Mehr, Manvir Singh, Dean Knox, Christopher Lucas, Daniel Ketter, Daniel Pickens-Jones, Nori Jacoby, Timothy J. O'Donnell, Steven Pinker and Max Krasnow
(venue unknown)
(2018-11-22)
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick... (3 more)
arXiv preprint arXiv:1811.08839
(2018-11-21)
ui.adsabs.harvard.eduPDF
Harmonic Recomposition using Conditional Autoregressive Modeling.
Kyle Kastner, Rithesh Kumar, Tim Cooijmans and Aaron C. Courville
arXiv preprint arXiv:1811.07426
(2018-11-18)
dblp.uni-trier.dePDF
Signatures and mechanisms of low-dimensional neural predictive manifolds
Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti and Eric Shea-Brown
bioRxiv
(2018-11-17)
www.biorxiv.orgPDF
The Barbados 2018 List of Open Issues in Continual Learning.
Tom Schaul, Hado van Hasselt, Joseph Modayil, Martha White, Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad, Marc G. Bellemare and Doina Precup
arXiv preprint arXiv:1811.07004
(2018-11-16)
ui.adsabs.harvard.eduPDF
On Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:1811.07017
(2018-11-16)
arxiv.orgPDF
Verification of Recurrent Neural Networks Through Rule Extraction.
Qinglong Wang, Kaixuan Zhang, Xue Liu and C. Lee Giles
arXiv preprint arXiv:1811.06029
(2018-11-14)
ui.adsabs.harvard.eduPDF
Natural Environment Benchmarks for Reinforcement Learning
Amy Zhang, Yuxin Wu and Joelle Pineau
arXiv preprint arXiv:1811.06032
(2018-11-14)
dblp.uni-trier.dePDF
Arabic Authorship Attribution: An Extensive Study on Twitter Posts
Malik H. Altakrori, Farkhund Iqbal, Benjamin C. M. Fung, Steven H. H. Ding and Abdallah Tubaishat
ALRLIP 2018
(2018-11-12)
dl.acm.org
Blindfold Baselines for Embodied QA.
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle and Aaron C. Courville
arXiv: Computer Vision and Pattern Recognition
(2018-11-12)
ui.adsabs.harvard.eduPDF
Compositional Language Understanding with Text-based Relational Reasoning.
Koustuv Sinha, Shagun Sodhani, William L. Hamilton and Joelle Pineau
arXiv preprint arXiv:1811.02959
(2018-11-07)
ui.adsabs.harvard.eduPDF
The RLLChatbot: a solution to the ConvAI challenge.
Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi and Joelle Pineau
arXiv preprint arXiv:1811.02714
(2018-11-07)
dblp.uni-trier.dePDF
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipkova, John Freymann, Justin Kirby, Michel Bilello, Hassan Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler... (403 more)
Unknown Journal
(2018-11-05)
hal.inria.frPDF
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipkova, John Freymann, Justin Kirby, Michel Bilello, Hassan Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler... (403 more)
arXiv: Computer Vision and Pattern Recognition
(2018-11-05)
spiral.imperial.ac.ukPDF
Navigation in the Service of Enhanced Pose Estimation
Travis Manderson, Ran Cheng, David Meger and Gregory Dudek
ISER 2018
(2018-11-05)
doi.org
Policy Search on Aggregated State Space for Active Sampling
Sandeep Manjanna, Herke Van Hoof and Gregory Dudek
ISER 2018
(2018-11-05)
link.springer.com
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.
Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman and Fernando Diaz
arXiv: Learning
(2018-11-05)
www.microsoft.comPDF
Adversarial Gain
Peter Henderson, Koustuv Sinha, Rosemary Nan Ke and Joelle Pineau
arXiv: Learning
(2018-11-04)
arxiv.orgPDF
Defending Against Adversarial Samples Without Security through Obscurity
Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin and Xinyu Xing
ICDM 2018
(2018-11-01)
www.computer.org
Temporal Regularization in Markov Decision Process
arXiv: Learning
(2018-11-01)
ui.adsabs.harvard.eduPDF
Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin and Chris Pal

2018-10

Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Florian Golemo, Adrien Ali Taïga, Aaron C. Courville and Pierre-Yves Oudeyer
Conference on Robot Learning (CoRL) 2018
(2018-10-23)
proceedings.mlr.pressPDF
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal, Sarthak Mittal, Aristide Baratin, Vinayak Tantia, Matthew Scicluna, Simon Lacoste-Julien and Ioannis Mitliagkas
arXiv preprint arXiv:1810.08591
(2018-10-19)
ui.adsabs.harvard.eduPDF
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop.
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen and Yoshua Bengio
(venue unknown)
(2018-10-18)
dblp.uni-trier.dePDF
Hierarchical Methods of Moments
Matteo Ruffini, Guillaume Rabusseau and Borja Balle
arXiv preprint arXiv:1810.07468
(2018-10-17)
ui.adsabs.harvard.eduPDF
Deep Learning. Das umfassende Handbuch
Ian Goodfellow, Yoshua Bengio and Aaron Courville
(venue unknown)
(2018-10-10)
content-select.com
CoinExpress: A Fast Payment Routing Mechanism in Blockchain-Based Payment Channel Networks
Ruozhou Yu, Guoliang Xue, Vishnu Teja Kilari, Dejun Yang and Jian Tang
ICCCN 2018
(2018-10-09)
asu.pure.elsevier.com
SpecWatch: A framework for adversarial spectrum monitoring with unknown statistics
Ming Li, Dejun Yang, Jian Lin and Jian Tang
Computer Networks
(2018-10-09)
www.sciencedirect.com
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods.
Peter Henderson, Joshua Romoff and Joelle Pineau
arXiv preprint arXiv:1810.02525
(2018-10-05)
ui.adsabs.harvard.eduPDF
Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio
Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio and Amos J. Storkey
ICANN 2018
(2018-10-04)
doi.orgPDF
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman and Jackie Chi Kit Cheung
Automatic differentiation in ML: Where we are and where we should be going
Bart van Merriënboer, Olivier Breuleux, Arnaud Bergeron and Pascal Lamblin
Computing Nash equilibria for integer programming games
Margarida Carvalho, Andrea Lodi and João Pedro Pedroso
Recurrent semi-supervised classification and constrained adversarial generation with motion capture data
Félix G. Harvey, Julien Roy, David Kanaa and Christopher Joseph Pal
Image and Vision Computing
(2018-10-01)
www.sciencedirect.com
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
Kirill Struminsky, Simon Lacoste-Julien and Anton Osokin

2018-09

Progressive Weight Pruning Of Deep Neural Networks Using ADMM
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin and Yanzhi Wang
arXiv preprint arXiv:1810.07378
(2018-09-27)
ui.adsabs.harvard.eduPDF
EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models
Rithesh Kumar, Anirudh Goyal, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
On Difficulties of Probability Distillation
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.netPDF
RNNs with Private and Shared Representations for Semi-Supervised Sequence Learning
Ge Ya Luo, Jie Fu, Pengfei Liu, Zhi Hao Luo and Chris Pal
(venue unknown)
(2018-09-27)
openreview.netPDF
Hiding Objects from Detectors: Exploring Transferrable Adversarial Patterns
Shangbang Long, Jie Fu and Chris Pal
(venue unknown)
(2018-09-27)
openreview.netPDF
BNN+: Improved Binary Network Training
Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux and Vahid Partovi Nia
(venue unknown)
(2018-09-27)
dblp.uni-trier.dePDF
Revisiting Reweighted Wake-Sleep
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh and Frank Wood
arXiv: Machine Learning
(2018-09-27)
dblp.uni-trier.dePDF
An Introduction to Probabilistic Programming
Jan-Willem van de Meent, Brooks Paige, Hongseok Yang and Frank Wood
arXiv preprint arXiv:1809.10756
(2018-09-27)
publications.eng.cam.ac.ukPDF
Where Off-Policy Deep Reinforcement Learning Fails
Scott Fujimoto, David Meger and Doina Precup
(venue unknown)
(2018-09-27)
openreview.netPDF
Shaping representations through communication
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell and Doina Precup
(venue unknown)
(2018-09-27)
openreview.netPDF
Learning powerful policies and better dynamics models by encouraging consistency
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio and Jian Tang
(venue unknown)
(2018-09-27)
openreview.netPDF
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen and Dawn Song
arXiv preprint arXiv:1810.12881
(2018-09-27)
ui.adsabs.harvard.eduPDF
Visualizing and Discovering Behavioural Weaknesses in Deep Reinforcement Learning
Christian Rupprecht, Cyril Ibrahim and Chris Pal
(venue unknown)
(2018-09-27)
openreview.netPDF
Visual Imitation Learning with Recurrent Siamese Networks.
Glen Berseth and Christopher J. Pal
arXiv preprint arXiv:1901.07186
(2018-09-27)
ui.adsabs.harvard.eduPDF
W2GAN: RECOVERING AN OPTIMAL TRANSPORT MAP WITH A GAN
Leygonie Jacob, Jennifer She, Amjad Almahairi, Sai Rajeswar and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.netPDF
Pix2Scene: Learning Implicit 3D Representations from Images
Sai Rajeswar, Fahim Mannan, Florian Golemo, David Vazquez, Derek Nowrouzezahrai and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.net
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen, Shawn Tan, Alessandro Sordoni and Aaron C. Courville
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries and Aaron C. Courville
Towards the Latent Transcriptome
Assya Trofimov, Francis Dutil, Claude Perreault, Sebastien Lemieux, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1810.03442
(2018-09-27)
dblp.uni-trier.dePDF
Unsupervised one-to-many image translation
Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikołaj Bińkowski, Aaron Courville, Yoshua Bengio and R Devon Hjelm
(venue unknown)
(2018-09-27)
openreview.netPDF
Convergence Properties of Deep Neural Networks on Separable Data
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation
Rim Assouel, Mohamed Ahmed, Marwin H. S. Segler, Amir Saffari and Yoshua Bengio
arXiv preprint arXiv:1811.09766
(2018-09-27)
dblp.uni-trier.dePDF
Universal Successor Features for Transfer Reinforcement Learning
Chen Ma, Dylan R. Ashley, Junfeng Wen and Yoshua Bengio
arXiv preprint arXiv:2001.04025
(2018-09-27)
dblp.uni-trier.dePDF
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas and Yoshua Bengio
arXiv preprint arXiv:1804.02485
(2018-09-27)
ui.adsabs.harvard.eduPDF
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Devansh Arpit, Bhargav Kanuparthi, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas and Yoshua Bengio
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Aaron Courville, Ioannis Mitliagkas and Yoshua Bengio
arXiv Machine Learning (Statistics)
(2018-09-27)
openreview.netPDF
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori and Yoshua Bengio
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio and Chris Pal
ICLR 2018
(2018-09-27)
dblp.uni-trier.dePDF
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen and Yoshua Bengio
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio and Geoffrey J. Gordon
Deep Graph Infomax
Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio and R. Devon Hjelm
How can deep learning advance computational modeling of sensory information processing
Jessica A. F. Thompson, Yoshua Bengio, Elia Formisano and Marc Schönwiesner
arXiv preprint arXiv:1810.08651
(2018-09-25)
ui.adsabs.harvard.eduPDF
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov and Christopher D. Manning
On the Learning Dynamics of Deep Neural Networks.
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1809.06848
(2018-09-18)
ui.adsabs.harvard.eduPDF
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Joseph Paul Cohen, Margaux Luck and Sina Honari
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1809.03702
(2018-09-11)
ui.adsabs.harvard.eduPDF
Social-Affiliation Networks: Patterns and the SOAR Model
Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski and Christos Faloutsos
PKDD 2018
(2018-09-10)
link.springer.com
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad and Yanzhi Wang
ECCV 2018
(2018-09-08)
ui.adsabs.harvard.eduPDF
Visual Reasoning with Multi-hop Feature Modulation
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville and Olivier Pietquin
Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman and Daniela Rus
IEEE Transactions on Intelligent Transportation Systems
(2018-09-01)
doi.orgPDF
Learning from Narrated Instruction Videos
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev and Simon Lacoste-Julien
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2018-09-01)
europepmc.org
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste and Aaron C. Courville

2018-08

Approximate Exploration through State Abstraction.
Adrien Ali Taïga, Aaron C. Courville and Marc G. Bellemare
arXiv preprint arXiv:1808.09819
(2018-08-29)
dblp.uni-trier.dePDF
A Semi-Markov Chain Approach to Modeling Respiratory Patterns Prior to Extubation in Preterm Infants.
Charles C. Onu, Lara J. Kanbar, Wissam Shalish, Karen A. Brown, Guilherme M. Sant'Anna, Robert E. Kearney and Doina Precup
arXiv: Signal Processing
(2018-08-24)
arxiv.orgPDF
Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing
Charles C. Onu, Lara J. Kanbar, Wissam Shalish, Karen A. Brown, Guilherme M. Sant'Anna, Robert E. Kearney and Doina Precup
arXiv preprint arXiv:1808.07991
(2018-08-24)
ui.adsabs.harvard.eduPDF
Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants
Lara J. Kanbar, Charles C. Onu, Wissam Shalish, Karen A. Brown, Guilherme M. Sant'Anna, Robert E. Kearney and Doina Precup
arXiv preprint arXiv:1808.07992
(2018-08-24)
ui.adsabs.harvard.eduPDF
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler and Yoshua Bengio
Generalization of Equilibrium Propagation to Vector Field Dynamics.
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard and Yoshua Bengio
arXiv preprint arXiv:1808.04873
(2018-08-14)
dblp.uni-trier.dePDF
Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields
Rémi Le Priol, Alexandre Piché and Simon Lacoste-Julien
UAI 2018
(2018-08-06)
auai.orgPDF
A PCA-based approximation scheme for combinatorial optimization with uncertain and correlated data
Borzou Rostami, Guy Desaulniers, Fausto Errico and Andrea Lodi
Les Cahiers du GERAD
(2018-08-01)
espace2.etsmtl.ca

2018-07

Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning.
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
(venue unknown)
(2018-07-31)
dblp.uni-trier.de
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli and Yoshua Bengio
Attend Before you Act: Leveraging human visual attention for continual learning.
Khimya Khetarpal and Doina Precup
arXiv preprint arXiv:1807.09664
(2018-07-25)
ui.adsabs.harvard.eduPDF
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atılım Güneş Baydin, Lukas Heinrich, Wahid Bhimji, Lei Shao, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip Torr, Victor Lee, Prabhat, Kyle Cranmer and Frank Wood
arXiv: Learning
(2018-07-20)
ui.adsabs.harvard.eduPDF
Active Search of Connections for Case Building and Combating Human Trafficking
Reihaneh Rabbany, David Bayani and Artur Dubrawski
KDD 2018
(2018-07-19)
doi.orgPDF
DNN's Sharpest Directions Along the SGD Trajectory.
Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio and Amos J. Storkey
(venue unknown)
(2018-07-13)
dblp.uni-trier.dePDF
Negative Momentum for Improved Game Dynamics
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Remi Lepriol, Gabriel Huang, Simon Lacoste-Julien and Ioannis Mitliagkas
arXiv preprint arXiv:1807.04740
(2018-07-12)
ui.adsabs.harvard.eduPDF
Leveraging Observational Learning for Exploration in Bandits
Andrei Lupu, Audrey Durand and Doina Precup
AAMAS 2018
(2018-07-09)
dblp.uni-trier.de
Eligibility Traces for Options
Ayush Jain and Doina Precup
AAMAS 2018
(2018-07-09)
dblp.uni-trier.de
Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville and Yoshua Bengio
Distill
(2018-07-09)
distill.pub
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
Konstantinos Drossos, Stylianos Ioannis Mimilakis, Dmitriy Serdyuk, Gerald Schuller, Tuomas Virtanen and Yoshua Bengio
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
On Nesting Monte Carlo Estimators
Tom Rainforth, Robert Cornish, Hongseok Yang, Andrew Warrington and Frank Wood
ICML 2018
(2018-07-03)
proceedings.mlr.pressPDF
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood and Yee Whye Teh
ICML 2018
(2018-07-03)
proceedings.mlr.pressPDF
Convergent Tree Backup and Retrace with Function Approximation
ICML 2018
(2018-07-03)
proceedings.mlr.pressPDF
Neural Autoregressive Flows
Chin-Wei Huang, David Krueger, Alexandre Lacoste and Aaron C. Courville
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman and Aaron C. Courville
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin and Christopher J. Pal
Mutual Information Neural Estimation.
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville and Devon Hjelm
ICML 2018
(2018-07-03)
proceedings.mlr.pressPDF
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
Andre Cianflone, Yulan Feng, Jad Kabbara and Jackie Chi Kit Cheung
Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants
Lara J. Kanbar, Charles C. Onu, Wissam Shalish, Karen A. Brown, Guilherme M. SantrAnna, Doina Precup and Robert E. Kearney
EMBC 2018
(2018-07-01)
doi.orgPDF
Neural models for key phrase detection and question generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler and Yoshua Bengio
ACL 2018
(2018-07-01)
ui.adsabs.harvard.eduPDF

2018-06

A Comparison of Optimization Methods for Multi-objective Constrained Bin Packing Problems
Philippe Olivier, Andrea Lodi and Gilles Pesant
CPAIOR 2018
(2018-06-26)
link.springer.com
Learning a classification of mixed-integer quadratic programming problems
Pierre Bonami, Andrea Lodi and Giulia Zarpellon
CPAIOR 2018
(2018-06-26)
link.springer.com
Inference Trees: Adaptive Inference with Exploration
Tom Rainforth, Yuan Zhou, Xiaoyu Lu, Yee Whye Teh, Frank Wood, Hongseok Yang and Jan-Willem van de Meent
arXiv preprint arXiv:1806.09550
(2018-06-25)
ui.adsabs.harvard.eduPDF
On the Spectral Bias of Deep Neural Networks
Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio and Aaron C. Courville
(venue unknown)
(2018-06-22)
dblp.uni-trier.dePDF
Local Positioning System Using UWB Range Measurements for an Unmanned Blimp
Vincent Mai, Mina Kamel, Matthias Krebs, Andreas Schaffner, Daniel Meier, Liam Paull and Roland Siegwart
ICRA 2018
(2018-06-21)
doi.org
Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin and Chris Pal
arXiv preprint arXiv:1806.08317
(2018-06-21)
ui.adsabs.harvard.eduPDF
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
Amy Zhang, Nicolas Ballas and Joelle Pineau
arXiv preprint arXiv:1806.07937
(2018-06-20)
ui.adsabs.harvard.eduPDF
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition.
Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges Linarès, Renato de Mori and Yoshua Bengio
Learning Distributed Representations from Reviews for Collaborative Filtering
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho and Aaron Courville
arXiv preprint arXiv:1806.06875
(2018-06-18)
ui.adsabs.harvard.eduPDF
Modularity Matters: Learning Invariant Relational Reasoning Tasks
Jason Jo, Vikas Verma and Yoshua Bengio
arXiv preprint arXiv:1806.06765
(2018-06-18)
ui.adsabs.harvard.eduPDF
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko and Yoshua Bengio
arXiv preprint arXiv:1806.06975
(2018-06-18)
dblp.uni-trier.dePDF
Diffusion-Based Approximate Value Functions
Martin Klissarov and Doina Precup
(venue unknown)
(2018-06-15)
openreview.netPDF
Manifold Mixup: Better Representations by Interpolating Hidden States.
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, Aaron Courville, David Lopez-Paz and Yoshua Bengio
arXiv: Machine Learning
(2018-06-13)
arxiv.orgPDF
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-06-13)
dblp.uni-trier.dePDF
Oríon : Experiment Version Control for Efficient Hyperparameter Optimization
Christos Tsirigotis, Xavier Bouthillier, François Corneau-Tremblay, Peter Henderson, Reyhane Askari, Samuel Lavoie-Marchildon, Tristan Deleu, Dendi Suhubdy, Michael Noukhovitch, Frédéric Bastien and Pascal Lamblin
(venue unknown)
(2018-06-11)
openreview.netPDF
Bayesian Model-Agnostic Meta-Learning
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio and Sungjin Ahn
arXiv preprint arXiv:1806.03836
(2018-06-11)
arxiv.orgPDF
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville and Yoshua Bengio
RE-EVALUATE: Reproducibility in Evaluating Reinforcement Learning Algorithms
Khimya Khetarpal, Zafarali Ahmed, Andre Cianflone, Riashat Islam and Joelle Pineau
(venue unknown)
(2018-06-10)
openreview.netPDF
Mine: mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville and Devon Hjelm
ICML 2018
(2018-06-07)
www.microsoft.com
Deep Variational Reinforcement Learning for POMDPs
Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood and Shimon Whiteson
Randomized Value Functions via Multiplicative Normalizing Flows
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau and Pascal Vincent
Learning to rank for censored survival data.
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Heloise Cardinal, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:1806.01984
(2018-06-06)
ui.adsabs.harvard.eduPDF
Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model
Laura Kallmeyer, Behrang QasemiZadeh and Jackie Chi Kit Cheung
JCLCS 2018
(2018-06-01)
aclanthology.org
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge
Ali Emami, Adam Trischler, Kaheer Suleman and Jackie Chi Kit Cheung
NAACL 2018
(2018-06-01)
aclanthology.org
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization.
Kian Kenyon-Dean, Jackie Chi Kit Cheung and Doina Precup
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version
Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin and Joelle Pineau
Dialogue & Discourse
(2018-06-01)
dad.uni-bielefeld.de
Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal and Jan Kautz
CVPR 2018
(2018-06-01)
www.computer.orgPDF
Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio and Jackie Chi Kit Cheung
Proceedings of the Workshop on Generalization in the Age of Deep Learning
(2018-06-01)
www.aclweb.org[Also on arXiv preprint arXiv:1804.09259 (2018-04-24)]
On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation
Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero and Yoshua Bengio

2018-05

Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia, Joost van de Weijer and Yoshua Bengio
Dyna Planning using a Feature Based Generative Model.
Ryan Faulkner and Doina Precup
arXiv preprint arXiv:1805.10129
(2018-05-23)
ui.adsabs.harvard.eduPDF
Learning Safe Policies with Expert Guidance
Jessie Huang, Fa Wu, Doina Precup and Yang Cai
Learning Steering Bounds for Parallel Autonomous Systems
Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman and Daniela Rus
ICRA 2018
(2018-05-21)
dspace.mit.edu
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps
Teddy Ort, Liam Paull and Daniela Rus
ICRA 2018
(2018-05-21)
dspace.mit.edu
Convolutional networks for kidney segmentation in contrast-enhanced CT scans
William E. Thong, Samuel Kadoury, Nicolas Piché and Christopher J. Pal
Computer methods in biomechanics and biomedical engineering. Imaging & visualization
(2018-05-04)
www.tandfonline.com
Constructing a Lexicon of Relational Nouns
Edward Newell and Jackie Chi Kit Cheung
LREC 2018
(2018-05-01)
www.lrec-conf.org
Generalization in Deep Learning
Kenji Kawaguchi, Leslie Pack Kaelbling and Yoshua Bengio
Mathematics of Deep Learning, Cambridge University Press. Prepint avaliable as: MIT-CSAIL-TR-2018-014, Massachusetts Institute of Technology
(2018-05-01)
lis.csail.mit.eduPDF

2018-04

Low-memory convolutional neural networks through incremental depth-first processing.
Jonathan Binas and Yoshua Bengio
arXiv preprint arXiv:1804.10727
(2018-04-28)
dblp.uni-trier.dePDF
Twin Regularization for online speech recognition
Mirco Ravanelli, Dmitriy Serdyuk and Yoshua Bengio
Towards End-to-end Spoken Language Understanding
Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu and Yoshua Bengio
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Joao F. Santos, Gerald Schuller, Tuomas Virtanen and Yoshua Bengio
ICASSP 2018
(2018-04-13)
doi.orgPDF
How to Cure Cancer (in images) with Unpaired Image Translation
Joseph Paul Cohen, Margaux Luck and Sina Honari
(venue unknown)
(2018-04-11)
openreview.netPDF
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna and Liam Paull
Iteratively unveiling new regions of interest in Deep Learning models
Florian Bordes, Tess Berthier, Lisa Di Jorio, Pascal Vincent and Yoshua Bengio
(venue unknown)
(2018-04-11)
openreview.netPDF
Convolutional neural networks for mesh-based parcellation of the cerebral cortex
Guillem Cucurull, Konrad Wagstyl, Arantxa Casanova, Petar Veličković, Estrid Jakobsen, Michal Drozdzal, Adriana Romero, Alan Evans and Yoshua Bengio
(venue unknown)
(2018-04-11)
openreview.netPDF
Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs.
Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn, Hongseok Yang and Frank D. Wood
(venue unknown)
(2018-04-07)
dblp.uni-trier.dePDF
Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities
Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn, Tom Rainforth, Hongseok Yang and Frank Wood
arXiv preprint arXiv:1804.03523
(2018-04-07)
ui.adsabs.harvard.eduPDF
Fine-grained attention mechanism for neural machine translation
Heeyoul Choi, Kyunghyun Cho and Yoshua Bengio
Liver lesion segmentation informed by joint liver segmentation
Eugene Vorontsov, An Tang, Chris Pal and Samuel Kadoury
ISBI 2018
(2018-04-04)
ieeexplore.ieee.orgPDF
Experiments on virtual private network design with concave capacity costs
Andrea Lodi and Ahmad Moradi
Optimization Letters
(2018-04-02)
link.springer.com
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu and Yoshua Bengio
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2018-04-01)
europepmc.org

2018-03

Accelerated Stochastic Power Iteration
Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas and Christopher Ré
AISTATS 2018
(2018-03-31)
proceedings.mlr.pressPDF
Nonlinear Weighted Finite Automata
AISTATS 2018
(2018-03-31)
dblp.uni-trier.dePDF
Frank-Wolfe Splitting via Augmented Lagrangian Method
Gauthier Gidel, Fabian Pedregosa and Simon Lacoste-Julien
Constructing Temporal Abstractions Autonomously in Reinforcement Learning
Ai Magazine
(2018-03-27)
doi.org
Learning Anonymized Representations with Adversarial Neural Networks
Clément Feutry, Pablo Piantanida, Yoshua Bengio and Pierre Duhamel
arXiv preprint arXiv:1802.09386
(2018-03-24)
hal-centralesupelec.archives-ouvertes.frPDF
Light Gated Recurrent Units for Speech Recognition
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo and Yoshua Bengio
arXiv preprint arXiv:1803.10225
(2018-03-23)
ui.adsabs.harvard.eduPDF
Generating Contradictory, Neutral, and Entailing Sentences
Yikang Shen, Shawn Tan, Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1803.02710
(2018-03-07)
ui.adsabs.harvard.eduPDF
A polynomial algorithm for a continuous bilevel knapsack problem
Margarida Carvalho, Andrea Lodi and Patrice Marcotte
Operations Research Letters
(2018-03-01)
www.sciencedirect.com
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari and Christopher J. Pal

2018-02

A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent and Simon Lacoste-Julien
Disentangling the independently controllable factors of variation by interacting with the world
Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup and Yoshua Bengio
arXiv preprint arXiv:1802.09484
(2018-02-26)
ui.adsabs.harvard.eduPDF
A Walk with SGD.
Chen Xing, Devansh Arpit, Christos Tsirigotis and Yoshua Bengio
arXiv preprint arXiv:1802.08770
(2018-02-24)
dblp.uni-trier.dePDF
Generalization in Machine Learning via Analytical Learning Theory
Kenji Kawaguchi and Yoshua Bengio
arXiv preprint arXiv:1802.07426
(2018-02-21)
ui.adsabs.harvard.eduPDF
Sequential Coordination of Deep Models for Learning Visual Arithmetic
arXiv preprint arXiv:1809.04988
(2018-02-15)
dblp.uni-trier.dePDF
An inference-based policy gradient method for learning options
Matthew J. A. Smith, Herke van Hoof and Joelle Pineau
ICML 2018
(2018-02-15)
proceedings.mlr.pressPDF
YellowFin and the Art of Momentum Tuning
Jian Zhang, Ioannis Mitliagkas and Christopher Re
MLSys
(2018-02-15)
proceedings.mlsys.orgPDF
SeaRNN: Training RNNs with Global-Local Losses
Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin and Simon Lacoste-Julien
ICLR 2018
(2018-02-15)
hal.archives-ouvertes.frPDF
Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic and Aaron Courville
arXiv preprint arXiv:1802.01071
(2018-02-15)
dblp.uni-trier.dePDF
Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste and Aaron Courville
arXiv: Machine Learning
(2018-02-15)
openreview.netPDF
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Yikang Shen, Zhouhan Lin, Chin-Wei Huang and Aaron C. Courville
ICLR 2018
(2018-02-15)
dblp.uni-trier.dePDF
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1711.02326
(2018-02-15)
ui.adsabs.harvard.eduPDF
Extending the Framework of Equilibrium Propagation to General Dynamics
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard and Yoshua Bengio
ICLR 2018
(2018-02-15)
dblp.uni-trier.dePDF
Image Segmentation by Iterative Inference from Conditional Score Estimation
Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou and Yoshua Bengio
arXiv preprint arXiv:1705.07450
(2018-02-15)
dblp.uni-trier.dePDF
Learning Generative Models with Locally Disentangled Latent Factors
Brady Neal, Alex Lamb, Sherjil Ozair, Devon Hjelm, Aaron Courville, Yoshua Bengio and Ioannis Mitliagkas
(venue unknown)
(2018-02-15)
openreview.netPDF
Boundary Seeking GANs
R Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.microsoft.comPDF
Variance Regularizing Adversarial Learning
Karan Grewal, R Devon Hjelm and Yoshua Bengio
arXiv preprint arXiv:1707.00309
(2018-02-15)
128.84.21.199PDF
Combining Model-based and Model-free RL via Multi-step Control Variates
Tong Che, Yuchen Lu, George Tucker, Surya Bhupatiraju, Shane Gu, Sergey Levine and Yoshua Bengio
(venue unknown)
(2018-02-15)
openreview.netPDF
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel and Yoshua Bengio
arXiv preprint arXiv:1710.05050
(2018-02-15)
openreview.netPDF
Fraternal Dropout
Konrad Zolna, Devansh Arpit, Dendi Suhubdy and Yoshua Bengio
ICLR 2018
(2018-02-15)
openreview.netPDF
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.microsoft.comPDF
Three factors influencing minima in SGD
Stanisław Jastrzębski, Zac Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Amos Storkey and Yoshua Bengio
arXiv preprint arXiv:1711.04623
(2018-02-15)
128.84.21.199PDF
Residual Connections Encourage Iterative Inference
Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio and Christopher J. Pal
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.repository.cam.ac.ukPDF
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet and Joelle Pineau
Decoupling Dynamics and Reward for Transfer Learning.
Amy Zhang, Harsh Satija and Joelle Pineau
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent
ICLR 2018
(2018-02-12)
dblp.uni-trier.dePDF
Inferring Identity Factors for Grouped Examples
(venue unknown)
(2018-02-12)
openreview.netPDF
Graph Priors for Deep Neural Networks
Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko and Yoshua Bengio
(venue unknown)
(2018-02-12)
openreview.netPDF
Finding Flatter Minima with SGD
Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio and Amos J. Storkey
ICLR 2018
(2018-02-12)
dblp.uni-trier.dePDF
Universal Successor Representations for Transfer Reinforcement Learning
Chen Ma, Junfeng Wen and Yoshua Bengio
ChatPainter: Improving Text to Image Generation using Dialogue
Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou and Yoshua Bengio
Learning with Options that Terminate Off-Policy
Anna Harutyunyan, Peter Vrancx, Pierre-luc Bacon, Doina Precup and Ann Nowe
AAAI 2018
(2018-02-07)
ui.adsabs.harvard.eduPDF
When Waiting is not an Option : Learning Options with a Deliberation Cost
Jean Harb, Pierre-luc Bacon, Martin Klissarov and Doina Precup
AAAI 2018
(2018-02-07)
dblp.uni-trier.dePDF
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson, Wei-Di Chang, Pierre-luc Bacon, David Meger, Joelle Pineau and Doina Precup
AAAI 2018
(2018-02-07)
ui.adsabs.harvard.eduPDF
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Joelle Pineau, David Meger, Doina Precup and Philip Bachman
AAAI 2018
(2018-02-07)
ui.adsabs.harvard.eduPDF
FiLM: Visual Reasoning with a General Conditioning Layer.
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin and Aaron C. Courville
AAAI 2018
(2018-02-02)
hal.archives-ouvertes.fr
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling
Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent and Simon Lacoste-Julien
ICLR 2018
(2018-02-01)
ui.adsabs.harvard.eduPDF
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal and Samuel Kadoury
Medical Image Analysis
(2018-02-01)
europepmc.org

2018-01

Patterns of reintubation in extremely preterm infants: a longitudinal cohort study
Wissam Shalish, Lara Kanbar, Martin Keszler, Sanjay Chawla, Lajos Kovacs, Smita Rao, Bogdan A Panaitescu, Alyse Laliberte, Doina Precup, Karen Brown, Robert E Kearney and Guilherme M Sant'Anna
Pediatric Research
(2018-01-31)
www.nature.com
Correction to: Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm.
Margaux Luck, Caroline Schmitt, Neila Talbi, Laurent Gouya, Cédric Caradeuc, Hervé Puy, Gildas Bertho and Nicolas Pallet
Metabolomics
(2018-01-30)
link.springer.comPDF
Neural Models for Key Phrase Detection and Question Generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler and Yoshua Bengio
Neural and Evolutionary Computing
(2018-01-23)
www.microsoft.com
Variational Bi-LSTMs
Samira Shabanian, Devansh Arpit, Adam Trischler and Yoshua Bengio
A Deep Reinforcement Learning Chatbot (Short Version)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau and Yoshua Bengio
arXiv preprint arXiv:1801.06700
(2018-01-20)
ui.adsabs.harvard.eduPDF
MINE: Mutual Information Neural Estimation.
Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, R. Devon Hjelm and Aaron C. Courville
arXiv preprint arXiv:1801.04062
(2018-01-12)
ui.adsabs.harvard.eduPDF
A3T: Adversarially Augmented Adversarial Training.
Akram Erraqabi, Aristide Baratin, Yoshua Bengio and Simon Lacoste-Julien
arXiv preprint arXiv:1801.04055
(2018-01-12)
ui.adsabs.harvard.eduPDF
Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm
Margaux Luck, Caroline Schmitt, Neila Talbi, Laurent Gouya, Cédric Caradeuc, Hervé Puy, Gildas Bertho and Nicolas Pallet
Metabolomics
(2018-01-01)
europepmc.orgPDF
Exact and approximate solution methods for the vehicle routingproblem with stochastic and correlated travel times
Fausto Errico, Guy Desaulniers, Andrea Lodi and Borzou Rostam
(venue unknown)
(2018-01-01)
espace2.etsmtl.ca
Navigation for Underwater Vehicles
Liam Paull, Mae Seto, Sajad Saeedi and John J. Leonard
(venue unknown)
(2018-01-01)
link-springer-com-443.webvpn.jmu.edu.cn
A convex reformulation and an outer approximation for a class of binary quadratic program
Borzou Rostami, Fausto Errico and Andrea Lodi
(venue unknown)
(2018-01-01)
espace2.etsmtl.ca
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping
Liam Paull, Mae Seto, John J. Leonard and Howard Li
The International Journal of Robotics Research
(2018-01-01)
dl.acm.org
A Hierarchical Neural Attention-based Text Classifier
Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung and Derek Ruths
EMNLP 2018
(2018-01-01)
aclanthology.org
BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof and Jackie Chi Kit Cheung
Learning Predictive State Representations From Non-Uniform Sampling.
Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle and Doina Precup
AAAI 2018
(2018-01-01)
dblp.uni-trier.de
Imitation Upper Confidence Bound for Bandits on a Graph.
Andrei Lupu and Doina Precup
AAAI 2018
(2018-01-01)
dblp.uni-trier.de
Learning Robust Options.
Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup and Shie Mannor
Genomic Prediction of Osteoporosis Using 426,000 Individuals from UK Biobank
Vincenzo Forgetta, Julyan Keller-Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John Kemp, John Morris, John Kanis, Douglas Kiel, Eugene Mccloskey, Helena Johansson, Nicholas Harvey, Dave Evans, Joelle Pineau, William Leslie, Celia M. T. Greenwood and J. Brent Richards
Journal of Bone and Mineral Research
(2018-01-01)
espace.library.uq.edu.au
Temporal Regularization for Markov Decision Process
NEURIPS 2018
(2018-01-01)
papers.nips.ccPDF
A Decision-Theoretic Approach for the Collaborative Control of a Smart Wheelchair
Mahmoud Ghorbel, Joelle Pineau, Richard Gourdeau, Shervin Javdani and Siddhartha S. Srinivasa
International Journal of Social Robotics
(2018-01-01)
europepmc.org
Streaming kernel regression with provably adaptive mean, variance, and regularization
Audrey Durand, Odalric-Ambrym Maillard and Joelle Pineau
Journal of Machine Learning Research
(2018-01-01)
ui.adsabs.harvard.eduPDF
Reward Estimation for Variance Reduction in Deep Reinforcement Learning.
Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet and Joelle Pineau
ICLR 2018
(2018-01-01)
dblp.uni-trier.de
Extending Neural Generative Conversational Model using External Knowledge Sources
Prasanna Parthasarathi and Joelle Pineau
Learning Representations and Generative Models for 3D Point Clouds.
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas and Leonidas J. Guibas
Improved asynchronous parallel optimization analysis for stochastic incremental methods
Rémi Leblond, Fabian Pedregosa and Simon Lacoste-Julien
Journal of Machine Learning Research
(2018-01-01)
jmlr.orgPDF[LATEST on arXiv preprint arXiv:1801.03749 (2018-01-11)]
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc and Pascal Vincent
EMNLP 2018
(2018-01-01)
aclanthology.orgPDF
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent
HoME: a Household Multimodal Environment.
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle and Aaron C. Courville
ICLR 2018
(2018-01-01)
dblp.uni-trier.dePDF
BigBrain: 1D convolutional neural networks for automated sementation of cortical layers
K. Wagstyl, C. Lepage, Karl Zilles, Sebastian Bludau, G. Cucurul, A. C. Evans, P. Fletcher, A. Romero, J. Cohen, S. Larocque, T. Funck, Katrin Amunts and Y. Bengio
2018 Annual Meeting of the Organization of Human Brain Mapping (OHBM)
(2018-01-01)
juser.fz-juelich.de
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences.
Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni and Yoshua Bengio
ACL 2018
(2018-01-01)
www.aclweb.org
The First Conversational Intelligence Challenge
Mikhail Burtsev, Varvara Logacheva, Valentin Malykh, Iulian Vlad Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander Rudnicky and Yoshua Bengio
(venue unknown)
(2018-01-01)
link.springer.com
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal Alias Parth Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
NEURIPS 2018
(2018-01-01)
papers.nips.ccPDF
Introduction to NIPS 2017 Competition Track
Sergio Escalera, Markus Weimer, Mikhail Burtsev, Valentin Malykh, Varvara Logacheva, Ryan Lowe, Iulian Vlad Serban, Yoshua Bengio, Alexander Rudnicky, Alan W. Black, Shrimai Prabhumoye, Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael F. Ong, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott Delp, Iker Huerga, Alexander Grigorenko... (19 more)
(venue unknown)
(2018-01-01)
link.springer.com
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks
Thomas Mesnard, Gaëtan Vignoud, João Sacramento, Walter Senn and Yoshua Bengio
2018 Conference on Cognitive Computational Neuroscience
(2018-01-01)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:1911.08585 (2019-11-15)]

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