Publications

Mila is a research institute in artificial intelligence which rallies 500 researchers specializing in the field of deep learning. Here is a directory of their publications, from 2018 to 2020.

2020-11

NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding
K. Wang, R. Stevens, H. Alachram, Y. Li, L. Soldatova, R. King, S. Ananiadou, M. Li, F. Christopoulou, J. L. Ambite, S. Garg, U. Hermjakob, D. Marcu, E. Sheng, T. Beissbarth, E. Wingender, A. Galstyan, X. Gao, B. Chambers, B. B. Khomtchouk... (2 more)
bioRxiv
(2020-11-06)
www.biorxiv.orgPDF
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
(2020-11-05)
www.sciencedirect.com
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
Jingyi He, KC Tsiolis, Kian Kenyon-Dean and Jackie Chi Kit Cheung
arXiv preprint arXiv:2011.02944
(2020-11-05)
arxiv.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)
www.medrxiv.org
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
(2020-11-04)
www.sciencedirect.comPDF
Diversity-Enriched Option-Critic.
Anand Kamat and Doina Precup
arXiv preprint arXiv:2011.02565
(2020-11-04)
arxiv.orgPDF
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model.
Sophie-Camille Hogue, Flora Chen, GeneviÚve Brassard, Denis Lebel, Jean-François BussiÚres, Audrey Durand and Maxime Thibault
arXiv: Learning
(2020-11-03)
arxiv.orgPDF
A note on the Lasserre hierarchy for different formulations of the maximum independent set problem
M.F. Anjos, Y. Emine, A. Lodi and Z. Sun
Operations Research Letters
(2020-11-03)
www.sciencedirect.com
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)
arxiv.orgPDF

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)
arxiv.orgPDF
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne and Frank Wood
arXiv preprint arXiv:2010.15750
(2020-10-29)
arxiv.orgPDF
$\texttt{deep21}$: 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
arXiv preprint arXiv:2010.15843
(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)
journals.plos.org
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
(2020-10-28)
xplorestaging.ieee.org
Geometric Scattering Attention Networks
Yimeng Min, Frederik Wenkel and Guy Wolf
arXiv preprint arXiv:2010.15010
(2020-10-28)
arxiv.orgPDF
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)
ieeexplore.ieee.org
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
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu, Yue Dong and Laurent Charlin
arXiv preprint arXiv:2010.14235
(2020-10-27)
arxiv.orgPDF
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)
arxiv.orgPDF
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks.
David Bieber, Charles Sutton, Hugo Larochelle and Daniel Tarlow
arXiv: Learning
(2020-10-26)
arxiv.orgPDF
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation.
Han Zhao, Jianfeng Chi, Yuan Tian and Geoffrey J. Gordon
arXiv: Learning
(2020-10-26)
arxiv.orgPDF
Forethought and Hindsight in Credit Assignment.
Veronica Chelu, Doina Precup and Hado van Hasselt
arXiv: Learning
(2020-10-26)
arxiv.orgPDF
Efficient Learning in Non-Stationary Linear Markov Decision Processes.
Ahmed Touati and Pascal Vincent
arXiv: Learning
(2020-10-26)
arxiv.orgPDF
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, MĂ©lanie Drolet, Alexandra M Schmidt, Marc Brisson and Mathieu Maheu-Giroux
International Journal of Infectious Diseases
(2020-10-25)
pubmed.ncbi.nlm.nih.gov
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
bioRxiv
(2020-10-25)
www.biorxiv.orgPDF
XLVIN: eXecuted Latent Value Iteration Nets
Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang and Mladen Nikolić
arXiv preprint arXiv:2010.13146
(2020-10-25)
arxiv.orgPDF
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)
arxiv.orgPDF
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, Gåetan 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)
arxiv.orgPDF
Accelerating data filtering for database using FPGA
Xuan Sun, Chun Jason Xue, Jinghuan Yu, Tei-Wei Kuo and Xue Liu
Journal of Systems Architecture
(2020-10-22)
www.sciencedirect.com
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
(2020-10-22)
link.springer.com
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)
arxiv.orgPDF
Stronger Transformers for Neural Multi-Hop Question Generation
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan and William Hamilton
arXiv preprint arXiv:2010.11374
(2020-10-22)
arxiv.orgPDF
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
arXiv preprint arXiv:2010.11924
(2020-10-22)
arxiv.orgPDF
NU-GAN: High resolution neural upsampling with GAN
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio and Aaron Courville
arXiv preprint arXiv:2010.11362
(2020-10-22)
arxiv.orgPDF
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville and Yoshua Bengio
Communications of The ACM
(2020-10-22)
link.springer.com
Learning to Summarize Long Texts with Memory Compression and Transfer
Jaehong Park, Jonathan Pilault and Christopher Pal
arXiv preprint arXiv:2010.11322
(2020-10-21)
arxiv.orgPDF
DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries and Chris Pal
arXiv preprint arXiv:2010.11119
(2020-10-21)
arxiv.orgPDF
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)
arxiv.orgPDF
Cross-Modal Information Maximization for Medical Imaging: CMIM
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm and Yoshua Bengio
arXiv preprint arXiv:2010.10593
(2020-10-20)
arxiv.orgPDF
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)
arxiv.orgPDF
Neural Approximate Sufficient Statistics for Implicit Models.
Yanzhi Chen, Dinghuai Zhang, Michael Gutmann, Aaron Courville and Zhanxing Zhu
arXiv preprint arXiv:2010.10079
(2020-10-20)
arxiv.orgPDF
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
arXiv preprint arXiv:2010.10029
(2020-10-19)
arxiv.orgPDF
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.ncbi.nlm.nih.gov
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)
arxiv.orgPDF
Factual Error Correction for Abstractive Summarization Models
Meng Cao, Yue Dong, Jiapeng Wu and Jackie Chi Kit Cheung
arXiv preprint arXiv:2010.08712
(2020-10-17)
arxiv.orgPDF
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)
dblp.uni-trier.de
The nonsmooth landscape of phase retrieval
Damek Davis, Dmitriy Drusvyatskiy and Courtney Paquette
Ima Journal of Numerical Analysis
(2020-10-16)
PDF
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: Learning
(2020-10-15)
arxiv.orgPDF
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints
Philippe Olivier, Andrea Lodi and Gilles Pesant
Informs Journal on Computing
(2020-10-14)
pubsonline.informs.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)
www.ncbi.nlm.nih.gov
Uniform Priors for Data-Efficient Transfer.
Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Hugo Larochelle and Animesh Garg
arXiv: Learning
(2020-10-13)
arxiv.orgPDF
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
(2020-10-12)
www.ncbi.nlm.nih.gov
GraphMix: Improved Training of GNNs for Semi-Supervised Learning.
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv: Learning
(2020-10-11)
arxiv.orgPDF
An Empirical Investigation of Beam-Aware Training in Supertagging
Renato Negrinho, Matthew R. Gormley and Geoffrey J. Gordon
arXiv preprint arXiv:2010.04980
(2020-10-10)
arxiv.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)
arxiv.orgPDF
Uncertainty in Neural Processes
Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy and Frank Wood
arXiv: Learning
(2020-10-08)
arxiv.orgPDF
Inference and Prediction Diverge in Biomedicine
Danilo Bzdok, Denis Engemann and Bertrand Thirion
Patterns
(2020-10-08)
www.sciencedirect.com
A Fully Tensorized Recurrent Neural Network
Charles C. Onu, Jacob E. Miller and Doina Precup
arXiv preprint arXiv:2010.04196
(2020-10-08)
arxiv.orgPDF
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio and Jian Tang
arXiv preprint arXiv:2010.04029
(2020-10-08)
arxiv.orgPDF
Maximum Reward Formulation In Reinforcement Learning
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor and Sarath Chandar
arXiv preprint arXiv:2010.03744
(2020-10-08)
ui.adsabs.harvard.eduPDF
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 Lariviùre, Oualid Benkarim, Jessica Royer, Shahin Tavakol, Raul R. Cruces, Qiongling Li, Sofie L. Valk, Daniel S. Margulies, Bratislav Miơić, Danilo Bzdok, Jonathan Smallwood and Boris C. Bernhardt
NeuroImage
(2020-10-07)
www.sciencedirect.com
Regularized Inverse Reinforcement Learning
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai and Joelle Pineau
arXiv preprint arXiv:2010.03691
(2020-10-07)
ui.adsabs.harvard.eduPDF
SACSANN: identifying sequence-based determinants of chromosomal compartments
Julie A Prost, Christopher Jf Cameron and Mathieu Blanchette
bioRxiv
(2020-10-07)
www.biorxiv.orgPDF
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung and William L. Hamilton
arXiv preprint arXiv:2010.03526
(2020-10-07)
arxiv.orgPDF
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan, Mehdi Bennani, Bogdan Mazoure, Guillaume Rabusseau and Pierre Alquier
arXiv preprint arXiv:2010.04003
(2020-10-07)
ui.adsabs.harvard.eduPDF
Data-Driven Learning of Geometric Scattering Networks
Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy and Guy Wolf
arXiv preprint arXiv:2010.02415
(2020-10-06)
arxiv.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)
arxiv.orgPDF
Directional Graph Networks
Dominique Beaini, Saro Passaro, Vincent LĂ©tourneau, William L. Hamilton, Gabriele Corso and Pietro LiĂČ
arXiv preprint arXiv:2010.02863
(2020-10-06)
arxiv.orgPDF
Multi-Fact Correction in Abstractive Text Summarization.
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung and Jingjing Liu
arXiv preprint arXiv:2010.02443
(2020-10-06)
arxiv.orgPDF
Reward Propagation Using Graph Convolutional Networks
Martin Klissarov and Doina Precup
arXiv preprint arXiv:2010.02474
(2020-10-06)
arxiv.orgPDF
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
Supervised Seeded Iterated Learning for Interactive Language Learning.
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron Courville
arXiv preprint arXiv:2010.02975
(2020-10-06)
ui.adsabs.harvard.eduPDF
Adversarial Boot Camp: label free certified robustness in one epoch.
Ryan Campbell, Chris Finlay and Adam M Oberman
arXiv preprint arXiv:2010.02508
(2020-10-05)
arxiv.orgPDF
Assisting the Adversary to Improve GAN Training.
Andreas Munk, William Harvey and Frank Wood
arXiv: Learning
(2020-10-05)
arxiv.orgPDF
Integrating Categorical Semantics into Unsupervised Domain Translation.
Samuel Lavoie-Marchildon, Faruk Ahmed and Aaron Courville
arXiv: Learning
(2020-10-05)
arxiv.orgPDF
Incorporating Dynamic Flight Network in SEIR to Model Mobility between Populations
Xiaoye Ding, Shenyang Huang, Abby Leung and Reihaneh Rabbany
arXiv preprint arXiv:2010.01408
(2020-10-03)
arxiv.orgPDF
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
(2020-10-01)
bmjopen.bmj.com
Differentially Private Data Publishing for Arbitrarily Partitioned Data
Rong Wang, Benjamin C.M. Fung, Yan Zhu and Qiang Peng
Information Sciences
(2020-10-01)
api.elsevier.com
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)
api.elsevier.com
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)
xplorestaging.ieee.org
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)
xplorestaging.ieee.org
Towards Efficient On-Chip Learning using Equilibrium Propagation
Zhengyun Ji and Warren Gross
ISCAS 2020
(2020-10-01)
xplorestaging.ieee.org
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
High-Throughput VLSI Architecture for GRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan and Warren J. Gross
SIPS 2020
(2020-10-01)
dblp.uni-trier.de

2020-09

Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier, Koustuv Sinha, Siva Reddy and Christopher Pal
arXiv: Learning
(2020-09-30)
arxiv.orgPDF
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.dePDF
Graph Adversarial Networks: Protecting Information against Adversarial Attacks.
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka and Ruslan Salakhutdinov
arXiv preprint arXiv:2009.13504
(2020-09-28)
arxiv.orgPDF
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer.
Yassine Yaakoubi, Simon Lacoste-Julien and François Soumis
arXiv: Learning
(2020-09-28)
arxiv.orgPDF
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions.
Shuang Gao and Aditya Mahajan
arxiv:eess.SY
(2020-09-27)
arxiv.orgPDF
Sex-specific lesion topographies explain outcomes after acute ischemic stroke
Anna K Bonkhoff, Markus D Schirmer, Martin Bretzner, Sungmin Hong, Robert Regenhardt, Mikael Brudfors, Kathleen Donahue, Marco Nardin, Adrian Dalca, Anne-Katrin Giese, Mark Etherton, Brandon Hancock, Steven Mocking, Elissa McIntosh, John Attia, Oscar Benavente, Stefan Bevan, John Cole, Amanda Donatti, Christoph Griessenauer... (37 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)
arxiv.orgPDF
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
Fast greedy $$\mathcal {C}$$ C -bound minimization with guarantees
Baptiste Bauvin, Cécile Capponi, Jean-Francis Roy and François Laviolette
Machine Learning
(2020-09-23)
link.springer.com
Structure Aware Negative Sampling in Knowledge Graphs
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton and Avishek Joey Bose
arXiv preprint arXiv:2009.11355
(2020-09-23)
ui.adsabs.harvard.eduPDF
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
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)
dx.doi.org
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data.
Jonathan Pilault, Amine Elhattami and Christopher Pal
arXiv preprint arXiv:2009.09139
(2020-09-19)
arxiv.orgPDF
Overfit Neural Networks as a Compact Shape Representation
Thomas Davies, Derek Nowrouzezahrai and Alec Jacobson
arXiv preprint arXiv:2009.09808
(2020-09-17)
ui.adsabs.harvard.edu
Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation
Furkan Ercan, Thibaud Tonnellier, Nghia Doan and Warren J. Gross
IEEE Transactions on Signal Processing
(2020-09-17)
ui.adsabs.harvard.eduPDF
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
bioRxiv
(2020-09-17)
www.biorxiv.orgPDF
Decoding Polar Codes with Reinforcement Learning
Nghia Doan, Seyyed Ali Hashemi and Warren Gross
arXiv preprint arXiv:2009.06796
(2020-09-15)
arxiv.orgPDF
The Importance of Pessimism in Fixed-Dataset Policy Optimization
Jacob Buckman, Carles Gelada and Marc G. Bellemare
arXiv preprint arXiv:2009.06799
(2020-09-15)
arxiv.orgPDF
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
Louis Clouatre, Philippe Trempe, Amal Zouaq and Sarath Chandar
arXiv preprint arXiv:2009.07058
(2020-09-15)
arxiv.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 Våzquez
arXiv e-prints
(2020-09-14)
ui.adsabs.harvard.eduPDF
Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting
LĂ©o Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban and Valentina Zantedeschi
ECML 2020
(2020-09-14)
hal.archives-ouvertes.fr
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Julien M. Hendrickx and Michael G. Rabbat
arXiv preprint arXiv:2009.05445
(2020-09-11)
export.arxiv.orgPDF
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)
aps.arxiv.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
(2020-09-10)
arxiv.orgPDF
Adversarial training approach for local data debiasing.
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu and Alain Tapp
arXiv: Learning
(2020-09-03)
arxiv.orgPDF
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
(2020-09-02)
www.ncbi.nlm.nih.govPDF
Change Point Detection by Cross-Entropy Maximization.
Aurélien Serre, Didier Chételat and Andrea Lodi
arXiv preprint arXiv:2009.01358
(2020-09-02)
arxiv.orgPDF
SCG: Spotting Coordinated Groups in Social Media.
Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha and Reihaneh Rabbany
arXiv: Social and Information Networks
(2020-09-02)
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
Learning General Transformations of Data for Out-of-Sample Extensions
Matthew Amodio, David van Dijk, Guy Wolf and Smita Krishnaswamy
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)
xplorestaging.ieee.org
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)
xplorestaging.ieee.org
On the Effectiveness of Two-Step Learning for Latent-Variable Models
Cem Subakan, Maxime Gasse and Laurent Charlin
MLSP 2020
(2020-09-01)
xplorestaging.ieee.org
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA.
Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton and Jerome Waldispuhl
arXiv preprint arXiv:2009.00664
(2020-09-01)
arxiv.orgPDF
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
Yassine Yaakoubi, François Soumis and Simon Lacoste-Julien
EURO Journal on Transportation and Logistics
(2020-09-01)
api.elsevier.com
Disentangling presentation and processing times in the brain
Laurent Caplette, Robin A.A. Ince, Karim Jerbi and Frédéric Gosselin
NeuroImage
(2020-09-01)
www.sciencedirect.com

2020-08

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 MĂŒller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider and Bennett A. Landman
(venue unknown)
(2020-08-31)
doi.orgPDF
Beyond variance reduction: Understanding the true impact of baselines on policy optimization
Wesley Chung, Valentin Thomas, Marlos C. Machado and Nicolas Le Roux
arXiv preprint arXiv:2008.13773
(2020-08-31)
arxiv.orgPDF
BDD-based optimization for the quadratic stable set problem
Jaime E. GonzĂĄlez, Andre A. Cire, Andrea Lodi and Louis-Martin Rousseau
Discrete Optimization
(2020-08-27)
www.sciencedirect.com
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
Beyond brain age: Empirically-derived proxy measures of mental health
Kamalaker Dadi, Gael Varoquaux, Josselin Houenou, Danilo Bzdok, Bertrand Thirion and Denis A Engemann
bioRxiv
(2020-08-25)
www.biorxiv.orgPDF
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
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
bioRxiv
(2020-08-24)
www.biorxiv.orgPDF
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)
arxiv.orgPDF
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu and Mark Coates
KDD 2020
(2020-08-23)
www.kdd.org
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 MĂŒller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider and Bennett A. Landman
Medical Image Analysis
(2020-08-21)
www.sciencedirect.com
Action-Based Representation Learning for Autonomous Driving
Yi Xiao, Felipe Codevilla, Christopher Pal and Antonio M. Lopez
arXiv preprint arXiv:2008.09417
(2020-08-21)
arxiv.orgPDF
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)
www.ncbi.nlm.nih.gov
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Devendra Singh Sachan, Yuhao Zhang, Peng Qi and William Hamilton
arXiv preprint arXiv:2008.09084
(2020-08-20)
arxiv.orgPDF
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)
arxiv.orgPDF
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)
arxiv.orgPDF
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)
arxiv.orgPDF
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
(2020-08-17)
syndication.highwire.org
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
Restless bandits: indexability and computation of Whittle index
Nima Akbarzadeh and Aditya Mahajan
arxiv:eess.SY
(2020-08-13)
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
Prediction, Not Association, Paves the Road to Precision Medicine
Danilo Bzdok, Gael Varoquaux and Ewout W. Steyerberg
JAMA Psychiatry
(2020-08-12)
jamanetwork.com
Adaptive Tensor Learning with Tensor Networks
Meraj Hashemizadeh, Michelle Liu, Jacob Miller and Guillaume Rabusseau
arXiv preprint arXiv:2008.05437
(2020-08-12)
arxiv.orgPDF
Meta-matching: a simple framework to translate phenotypic predictive models from big to small data
Tong He, Lijun An, Jiashi Feng, Danilo Bzdok, Avram J Holmes, Simon B Eickhoff and Boon Thye Thomas Yeo
bioRxiv
(2020-08-11)
www.biorxiv.orgPDF
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop.
Guillaume Alain, Maxime Chevalier-Boisvert, Frederic Osterrath and Remi Piche-Taillefer
arXiv preprint arXiv:2008.04391
(2020-08-10)
arxiv.orgPDF
When Are Search Completion Suggestions Problematic
Alexandra Olteanu, Fernando Diaz and Gabriella Kazai
(venue unknown)
(2020-08-10)
www.microsoft.com
Deep Generative Models for Galaxy Image Simulations
Francois Lanusse, Rachel Mandelbaum, Siamak Ravanbakhsh, Chun-Liang Li, Peter Freeman and Barnabas Poczos
arXiv preprint arXiv:2008.03833
(2020-08-09)
arxiv.orgPDF
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
Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon
Yoshua Bengio, Andrea Lodi and Antoine Prouvost
European Journal of Operational Research
(2020-08-08)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]
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)
pubmed.ncbi.nlm.nih.govPDF
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
(2020-08-04)
www.thelancet.com
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.net
Implicit Regularization via Neural Feature Alignment.
Aristide Baratin, Thomas George, CĂ©sar Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent and Simon Lacoste-Julien
arXiv: Learning
(2020-08-03)
arxiv.orgPDF
Implicit Regularization in Deep Learning: A View from Function Space
Aristide Baratin, Thomas George, CĂ©sar Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent and Simon Lacoste-Julien
arXiv preprint arXiv:2008.00938
(2020-08-03)
www.microsoft.comPDF
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)
xplorestaging.ieee.org
Towards Queryable and Traceable Domain Models
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Jorg Kienzle
RE 2020
(2020-08-01)
ieeexplore.ieee.org
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)
ieeexplore.ieee.org
Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity.
Jessica Royer, Casey Paquola, Sara LariviĂšre, 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)
www.sciencedirect.com
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)
ui.adsabs.harvard.eduPDF
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning
Jayakumar Subramanian and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-08-01)
ieeexplore.ieee.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.com
Leveraging cluster backbones for improving MAP inference in statistical relational models
Mohamed-Hamza Ibrahim, Christopher Pal and Gilles Pesant
Annals of Mathematics and Artificial Intelligence
(2020-08-01)
PDF

2020-07

Beyond $\mathcal{H}$-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)
arxiv.orgPDF
Pharmacokinetics trumps pharmacodynamics during cocaine choice: a reconciliation with the dopamine hypothesis of addiction.
Ludivine Canchy, Paul Girardeau, Audrey Durand, Caroline Vouillac-Mendoza and Serge H. Ahmed
Neuropsychopharmacology
(2020-07-30)
www.nature.com[Also on bioRxiv (2020-05-22)]
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.com
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.com
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 preprint arXiv:2007.15139
(2020-07-29)
arxiv.orgPDF
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, Tim Duong, Cohen J, Dao L, Roth K, Morrison P, Bengio Y, Abbasi A F, Shen B, Mahsa H, Ghassemi M... (2 more)
Cureus
(2020-07-28)
www.cureus.comPDF
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta, Karmesh Yadav and Liam Paull
arXiv preprint arXiv:2007.13904
(2020-07-27)
arxiv.orgPDF
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time.
arXiv: Learning
(2020-07-27)
Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul Bennett, Nick Craswell and Susan Dumais
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé, Fernando Diaz and MichÚle Finck
BabyAI 1.1.
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv preprint arXiv:2007.12770
(2020-07-24)
dblp.uni-trier.dePDF
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, MĂ©lanie 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.org
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference.
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf
arXiv preprint arXiv:2007.11167
(2020-07-22)
ui.adsabs.harvard.eduPDF
HInet: Generating neutral hydrogen from dark matter with neural networks
Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho and Laurence Perreault-Levasseur
arXiv preprint arXiv:2007.10340
(2020-07-20)
ui.adsabs.harvard.eduPDF
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)]
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 LiĂČ 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
High-Throughput VLSI Architecture for GRAND.
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan and Warren J. Gross
arXiv preprint arXiv:2007.07328
(2020-07-14)
dblp.uni-trier.dePDF
Extendable and invertible manifold learning with geometry regularized autoencoders.
Andrés F. Duque, Sacha Morin, Guy Wolf and Kevin R. Moon
arXiv preprint arXiv:2007.07142
(2020-07-14)
dblp.uni-trier.dePDF
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
Amy Zhang, Shagun Sodhani, Khimya Khetarpal and Joelle Pineau
arXiv preprint arXiv:2007.07206
(2020-07-14)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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
FDG-PET/CT Radiomics Models for The Early Prediction of Loco-regional Recurrence in Head and Neck Cancer
Hu Cong, Wang Peng, Zhou Tian, Martin ValliĂšres, Xu Chuanpei, Zhu Aijun and Zhang Benxin
Current Medical Imaging Formerly Current Medical Imaging Reviews
(2020-07-12)
www.ncbi.nlm.nih.gov
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)
ui.adsabs.harvard.eduPDF
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
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay.
Scott Fujimoto, David Meger and Doina Precup
arXiv preprint arXiv:2007.06049
(2020-07-12)
ui.adsabs.harvard.eduPDF
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)
icml.cc
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)
icml.cc
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim, WaĂŻss 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
Data-Efficient Reinforcement Learning with Momentum Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville and Philip Bachman
arXiv preprint arXiv:2007.05929
(2020-07-12)
dblp.uni-trier.dePDF
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville and Olivier Pietquin
ICML 2020
(2020-07-12)
icml.cc
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)
icml.cc
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
Feature Statistics Guided Efficient Filter Pruning
Hang Li, Chen Ma, Wei Xu and Xue Liu
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 JĂ©rĂŽme WaldispĂŒhl
Nucleic Acids Research
(2020-07-11)
academic.oup.com
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Maxime Wabartha, Audrey Durand, Vincent François-Lavet and Joelle Pineau
IJCAI 2020
(2020-07-11)
static.ijcai.org
SVRG for Policy Evaluation with Fewer Gradient Evaluations
Zilun Peng, Ahmed Touati, Pascal Vincent and Doina Precup
Generative Graph Perturbations for Scene Graph Prediction.
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville and Eugene Belilovsky
arXiv preprint arXiv:2007.05756
(2020-07-11)
ui.adsabs.harvard.eduPDF
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)
www.microsoft.comPDF
Learning Graph Structure With A Finite-State Automaton Layer.
Daniel D. Johnson, Hugo Larochelle and Daniel Tarlow
arXiv: Learning
(2020-07-09)
dblp.uni-trier.dePDF
Robust motion in-betweening
FĂ©lix G. Harvey, Mike Yurick, Derek Nowrouzezahrai and Christopher Pal
ACM Transactions on Graphics
(2020-07-08)
dx.doi.org
Using Deep Learning to Accelerate Knee MRI at 3T: 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 Lin, Yvonne W. Lui, Matthew Muckley, Zhengnan Huang, Patricia Johnson... (2 more)
American Journal of Roentgenology
(2020-07-08)
www.ajronline.org
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.com
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)
www.microsoft.com
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.
Issam H. Laradji, Pau RodrĂ­guez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David VĂĄzquez 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
arXiv preprint arXiv:2007.03778
(2020-07-07)
dblp.uni-trier.dePDF
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning.
Harm van Seijen, Hadi Nekoei, Evan Racah and Sarath Chandar
arXiv preprint arXiv:2007.03158
(2020-07-07)
dblp.uni-trier.dePDF
Sharp Analysis of Smoothed Bellman Error Embedding.
Ahmed Touati and Pascal Vincent
arXiv preprint arXiv:2007.03749
(2020-07-07)
dblp.uni-trier.dePDF
Comparing Audience Appreciation to Fact-Checking Across Political Communities on Reddit.
Deven Parekh, Drew Margolin and Derek Ruths
WEBSCI 2020
(2020-07-06)
dx.doi.org
TimelyRep: Timing deterministic replay for Android web applications
Yanqiang Liu, Fangge Yan, Mingyuan Xia, Zhengwei Qi and Xue Liu
Software Testing, Verification & Reliability
(2020-07-06)
onlinelibrary.wiley.com
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)
dblp.uni-trier.dePDF
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
Probing Linguistic Systematicity
Emily Goodwin, Koustuv Sinha and Timothy J. O’Donnell
Words aren’t enough, their order matters: On the Robustness of Grounding Visual Referring Expressions
Arjun Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu and Siva Reddy
Learning an Unreferenced Metric for Online Dialogue Evaluation
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton and Joelle Pineau
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
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre CÎté, Yi Tay, Chris 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
(2020-07-05)
acl2020.org
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
ACL 2020
(2020-07-05)
acl2020.org
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images.
Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Våzquez and Derek Nowrouzezahrai
arXiv preprint arXiv:2007.02180
(2020-07-04)
dblp.uni-trier.dePDF
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, SĂ©bastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien and Alexandre Drouin
arXiv preprint arXiv:2007.01754
(2020-07-03)
dblp.uni-trier.dePDF
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 J Fonseca, Simon Milette, 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)
dblp.uni-trier.dePDF
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.org
Laplacian Change Point Detection for Dynamic Graphs.
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau and Reihaneh Rabbany
arXiv preprint arXiv:2007.01229
(2020-07-02)
dblp.uni-trier.dePDF
Survey on Applications of Multi-Armed and Contextual Bandits
Djallel Bouneffouf, Irina Rish and Charu Aggarwal
CEC 2020
(2020-07-01)
xplorestaging.ieee.org
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg and Aram Galstyan
arXiv preprint arXiv:2007.00642
(2020-07-01)
dblp.uni-trier.dePDF
Counterexamples on the Monotonicity of Delay Optimal Strategies for Energy Harvesting Transmitters
Borna Sayedana and Aditya Mahajan
IEEE Wireless Communications Letters
(2020-07-01)
ui.adsabs.harvard.eduPDF
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)
hal.inria.fr
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.com
Legends: Folklore on Reddit.
Caitrin Armstrong and Derek Ruths
arXiv preprint arXiv:2007.00750
(2020-07-01)
dblp.uni-trier.dePDF
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)
doi.org
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
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions.
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
(2020-07-01)
dblp.uni-trier.de
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)
dblp.uni-trier.dePDF
Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition.
Assya Trofimov, Joseph Paul Cohen, Yoshua Bengio, Claude Perreault and SĂ©bastien Lemieux
Bioinformatics
(2020-07-01)
www.ncbi.nlm.nih.govPDF
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
arXiv preprint arXiv:2007.00155
(2020-06-30)
dblp.uni-trier.dePDF
Leveraging Subword Embeddings for Multinational Address Parsing
Marouane Yassine, David Beauchemin, François Laviolette and Luc Lamontagne
arXiv preprint arXiv:2006.16152
(2020-06-29)
ui.adsabs.harvard.edu
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 preprint arXiv:2006.16225
(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
ICSE 2020
(2020-06-27)
dblp.uni-trier.dePDF
Machine learning analysis identifies genes differentiating triple negative breast cancers.
Charu Kothari, Mazid Abiodoun Osseni, Lynda Agbo, GeneviÚve Ouellette, Maxime Déraspe, François Laviolette, Jacques Corbeil, Jean-Philippe Lambert, Caroline Diorio and Francine Durocher
Scientific Reports
(2020-06-26)
www.nature.com
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)
dblp.uni-trier.dePDF
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools
Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman and Guillaume Lajoie
arXiv: Learning
(2020-06-25)
ui.adsabs.harvard.eduPDF
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
(2020-06-25)
www.ncbi.nlm.nih.gov
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.orgPDF
Advances in Asynchronous Parallel and Distributed Optimization
Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson and Michael Rabbat
arXiv preprint arXiv:2006.13838
(2020-06-24)
dblp.uni-trier.dePDF
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre CÎté, 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)
dblp.uni-trier.de
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal and Derek Nowrouzezahrai
arXiv preprint arXiv:2006.13258
(2020-06-23)
ui.adsabs.harvard.eduPDF
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)
dblp.uni-trier.dePDF
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)
scinapse.ioPDF
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)
dblp.uni-trier.dePDF
Revisiting Loss Modelling for Unstructured Pruning.
CĂ©sar Laurent, Camille Ballas, Thomas George, Nicolas Ballas and Pascal Vincent
arXiv preprint arXiv:2006.12279
(2020-06-22)
dblp.uni-trier.dePDF
HNHN: Hypergraph Networks with Hyperedge Neurons.
Yihe Dong, Will Sawin and Yoshua Bengio
arXiv: Learning
(2020-06-22)
dblp.uni-trier.dePDF
A Universal Representation Transformer Layer for Few-Shot Image Classification.
Lu Liu, William Hamilton, Guodong Long, Jing Jiang and Hugo Larochelle
arXiv preprint arXiv:2006.11702
(2020-06-21)
dblp.uni-trier.dePDF
Learning to Prove from Synthetic Theorems.
Eser AygĂŒn, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup and Shibl Mourad
arXiv preprint arXiv:2006.11259
(2020-06-19)
dblp.uni-trier.dePDF
An operator view of policy gradient methods.
Dibya Ghosh, Marlos C. Machado and Nicolas Le Roux
arXiv: Learning
(2020-06-19)
dblp.uni-trier.dePDF
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)
misinforeview.hks.harvard.eduPDF
Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations.
Mahmoud Assran, Nicolas Ballas, LluĂ­s CastrejĂłn and Michael Rabbat
arXiv preprint arXiv:2006.10803
(2020-06-18)
dblp.uni-trier.dePDF
Improving Few-Shot Visual Classification with Unlabelled Examples.
Peyman Bateni, Jarred Barber, Jan-Willem van de Meent and Frank Wood
arXiv preprint arXiv:2006.12245
(2020-06-17)
dblp.uni-trier.dePDF
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)
transacl.orgPDF
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)
dblp.uni-trier.dePDF
Cross-layer communication over fading channels with adaptive decision feedback
Borna Sayedana, Aditya Mahajan and Edmund Yeh
WIOPT 2020
(2020-06-15)
ieeexplore.ieee.org
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)
aps.arxiv.orgPDF
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
arXiv preprint arXiv:2006.08063
(2020-06-15)
dblp.uni-trier.dePDF
Improved Few-Shot Visual Classification
Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood and Leonid Sigal
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
arXiv preprint arXiv:2006.07882
(2020-06-14)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Deep Reinforcement and InfoMax Learning.
Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman and R. Devon Hjelm
arXiv preprint arXiv:2006.07217
(2020-06-12)
dblp.uni-trier.dePDF
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Safa Alver and Doina Precup
arXiv preprint arXiv:2006.07262
(2020-06-12)
dblp.uni-trier.dePDF
Learning Causal Models Online.
Khurram Javed, Martha White and Yoshua Bengio
arXiv preprint arXiv:2006.07461
(2020-06-12)
dblp.uni-trier.dePDF
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
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search).
Sharan Vaswani, Frederik Kunstner, Issam H. Laradji, Si Yi Meng, Mark Schmidt and Simon Lacoste-Julien
arXiv preprint arXiv:2006.06835
(2020-06-11)
dblp.uni-trier.dePDF
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 MĂŒller, Roger Schaer, Martin ValliĂšres and Alex Zwanenburg
arXiv preprint arXiv:2006.05470
(2020-06-09)
dblp.uni-trier.dePDF
Delayed Rejection Metropolis Light Transport
Damien Rioux-Lavoie, Joey Litalien, Adrien Gruson, Toshiya Hachisuka and Derek Nowrouzezahrai
ACM Transactions on Graphics
(2020-06-09)
dblp.uni-trier.de
On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming
Benjamin MĂŒller, Gonzalo Muñoz, Maxime Gasse, Ambros M. Gleixner, Andrea Lodi and Felipe Serrano
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.eduPDF
Dissociating memory accessibility and precision in forgetting.
Sam C Berens, Blake A Richards and Aidan J Horner
Nature Human Behaviour
(2020-06-08)
www.nature.com
Adversarial Feature Desensitization.
Pouya Bashivan, Blake Richards and Irina Rish
arXiv preprint arXiv:2006.04621
(2020-06-08)
ui.adsabs.harvard.eduPDF
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 Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick and Michael P. Recht
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
NeuroImage
(2020-06-06)
www.sciencedirect.com
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
Dark control: The default mode network as a reinforcement learning agent.
Elvis Dohmatob, Guillaume Dumas and Danilo Bzdok
Human Brain Mapping
(2020-06-05)
www.ncbi.nlm.nih.gov
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
SantĂ© publique de prĂ©cision : RĂȘve ou rĂ©alitĂ©?
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
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
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 Fƕenoy... (33 more)
Artificial Life
(2020-06-03)
hal.inria.frPDF
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.com
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
arXiv preprint arXiv:2006.02243
(2020-06-03)
dblp.uni-trier.dePDF
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation.
Si Yi Meng, Sharan Vaswani, Issam Hadj Laradji, Mark Schmidt and Simon Lacoste-Julien
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
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
(2020-06-02)
www.sciencedirect.com
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
Restless bandits: Indexability and computation of Whittle index
Aditya Mahajan and Nima Akbarzadeh
Les Cahiers du GERAD
(2020-06-01)
www.gerad.ca
Machine and deep learning methods for radiomics.
Michele Avanzo, Lise Wei, Joseph Stancanello, Martin ValliĂšres, Arvind Rao, Olivier Morin, Sarah A. Mattonen and Issam El Naqa
Medical Physics
(2020-06-01)
aapm.onlinelibrary.wiley.comPDF
Fast Thresholded SC-Flip Decoding of Polar Codes
Furkan Ercan and Warren J. Gross
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)
openaccess.thecvf.comPDF
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, JoĂ«lle Pineau and Jean RĂ©mi 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 Pal
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks
Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira E. Kahou and Yoshua Bengio
CVPR 2020
(2020-06-01)
openaccess.thecvf.comPDF

2020-05

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
Minimisation in Logical Form.
Nick Bezhanishvili, Marcello M. Bonsangue, Helle Hvid Hansen, Dexter Kozen, Clemens Kupke, Prakash Panangaden and Alexandra Silva
arXiv preprint arXiv:2005.11551
(2020-05-23)
dblp.uni-trier.dePDF
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)
www.nature.com
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 SĂžrensen-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)
www.nature.com
An Analysis of the Adaptation Speed of Causal Models
RĂ©mi Le Priol, Reza Babanezhad Harikandeh, Yoshua Bengio and Simon Lacoste-Julien
arXiv preprint arXiv:2005.09136
(2020-05-18)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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
arXiv preprint arXiv:2005.08230
(2020-05-17)
dblp.uni-trier.dePDF
De-Aliasing States In Dialogue Modelling With Inverse Reinforcement Learning
Layla El Asri, Adam Trischler and Geoff Gordon
(venue unknown)
(2020-05-15)
www.microsoft.com
Universal Dependencies 2.6
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, NoĂ«mi Aepli, Ćœeljko Agić, Lars Ahrenberg, Chika Kennedy Ajede, Gabrielė AleksandravičiĆ«tė, 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
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.com
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
Stefan Horoi, Victor Geadah, Guy Wolf and Guillaume Lajoie
Canadian Conference on AI
(2020-05-13)
link.springer.com
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
(2020-05-12)
www.sciencedirect.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
arXiv preprint arXiv:2005.05864
(2020-05-12)
aps.arxiv.orgPDF
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
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna Reinen and Irina Rish
arXiv preprint arXiv:2005.04544
(2020-05-10)
dblp.uni-trier.dePDF
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:eess.SY
(2020-05-08)
dblp.uni-trier.dePDF
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)
www.mdpi.comPDF
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)
aip.scitation.org
TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST X-RAYS: INITIAL ACCURACY TESTING
Simon Duchesne, Daniel Gourdeau, Patrick Archambault, Carl Chartrand-Lefebvre, Louis Dieumegarde, Reza Forghani, Christian Gagne, Alexandre Hains, David Hornstein, Huy Le, Simon Lemieux, Marie-Helene Levesque, Diego Martin, Lorne Rosenbloom, An Tang, Fabrizio Vecchio and Nathalie Duchesne
medRxiv
(2020-05-05)
www.medrxiv.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
Deep Geometric Knowledge Distillation with Graphs
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega
View-Invariant Loop Closure with Oriented Semantic Landmarks
Jimmy Li, Karim Koreitem, David Meger and Gregory Dudek
ICRA 2020
(2020-05-01)
ieeexplore.ieee.org
∇SLAM: Dense SLAM meets Automatic Differentiation
Krishna Murthy Jatavallabhula, Ganesh Iyer and Liam Paull
ICRA 2020
(2020-05-01)
dblp.uni-trier.de
RISC-V Barrel Processor for Accelerator Control
MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria and Jean-Pierre David
FCCM 2020
(2020-05-01)
ieeexplore.ieee.org
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)
dblp.uni-trier.de
Simplified Dynamic SC-Flip Polar Decoding
Furkan Ercan, Thibaud Tonnellier, Nghia Doan and Warren J. Gross
ICASSP 2020
(2020-05-01)
dblp.uni-trier.de
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
Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models
Loren Lugosch, Brett H. Meyer, Derek Nowrouzezahrai and Mirco Ravanelli
$${\textsf {SecDM}}$$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
Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation
Andrew Holliday and Gregory Dudek
CRV 2020
(2020-05-01)
ieeexplore.ieee.org
Depth Prediction for Monocular Direct Visual Odometry
Ran Cheng, Christopher Agia, David Meger and Gregory Dudek
CRV 2020
(2020-05-01)
ieeexplore.ieee.org
Machine-learning-based column selection for column generation
Guy Desaulniers, Andrea Lodi and Mouad Morabit
Les Cahiers du GERAD
(2020-05-01)
www.gerad.ca
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.com
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 preprint arXiv:2005.00513
(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)
ui.adsabs.harvard.eduPDF
Autism spectrum heterogeneity: fact or artifact?
Laurent Mottron and Danilo Bzdok
Molecular Psychiatry
(2020-04-30)
www.nature.com
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
SĂ©bastien 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
ICLR 2020
(2020-04-30)
iclr.ccPDF
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.cc
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
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
bioRxiv
(2020-04-29)
biorxiv.orgPDF
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
arXiv preprint arXiv:2004.13458
(2020-04-28)
128.84.21.199PDF
Evaluating Stochastic Rankings with Expected Exposure
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega and Ben Carterette
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
(2020-04-27)
www.sciencedirect.com
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)
link.springer.comPDF
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)
aps.arxiv.orgPDF
General Cops and Robbers Games with randomness.
Frédéric Simard, Josée Desharnais and François Laviolette
arXiv preprint arXiv:2004.11503
(2020-04-24)
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, SĂ©bastien Le Digabel and Andrea Lodi
Infor
(2020-04-24)
www.tandfonline.com
Prediction intervals for travel time on transportation networks
Mohamad Elmasri, Aurelie Labbe, Denis Larocque and Laurent Charlin
(venue unknown)
(2020-04-23)
aps.arxiv.orgPDF
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 preprint arXiv:2004.11292
(2020-04-23)
aps.arxiv.orgPDF
Meta-analytic evidence for a joint neural mechanism underlying response inhibition and state anger.
Andrei A. Puiu, Olga Wudarczyk, Gregor Kohls, Danilo Bzdok, Beate Herpertz‐Dahlmann and Kerstin Konrad
Human Brain Mapping
(2020-04-21)
www.scilit.net
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models.
Wenting Wang, Deeksha Arya, Nicole Novielli, Jinghui Cheng and Jin L. C. Guo
CHI 2020
(2020-04-21)
ui.adsabs.harvard.eduPDF
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
arXiv preprint arXiv:2004.11837
(2020-04-21)
aps.arxiv.orgPDF
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
arXiv preprint arXiv:2004.10151
(2020-04-21)
ui.adsabs.harvard.eduPDF
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke and Siva Reddy
arXiv preprint arXiv:2004.09456
(2020-04-20)
ui.adsabs.harvard.eduPDF
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
Tensorpac : an open-source Python toolbox for tensor-based Phase-Amplitude Coupling measurement in electrophysiological brain signals
Etienne Combrisson, Timoth Nest, Andrea Brovelli, Robin A. A. Ince, Juan Lp Soto, Aymeric Guillot and Karim Jerbi
bioRxiv
(2020-04-18)
www.biorxiv.orgPDF
Neuropsychiatric copy number variants exert shared effects on human brain structure
Claudia Modenato, Kuldeep Kumar, Clara Moreau, Sandra Martin-Brevet, Guillaume Huguet, Catherine Schramm, Jean-Louis Martineau, Charles-Olivier Martin, Nadine Younis, Petra Tamer, Elise Alix Douard, Fanny Thebault-Dagher, Valerie Cote, Audrey-Rose Charlebois, Florence Deguire, Anne M. Maillard, Borja Rodriguez-Herreros, Aurelie Pain, Sonia Richetin, Leila Kushan... (11 more)
medRxiv
(2020-04-17)
www.medrxiv.org
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
(2020-04-16)
doi.org
Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc and Pascal Vincent
arXiv preprint arXiv:2004.07683
(2020-04-16)
dblp.uni-trier.dePDF
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
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)
hal.archives-ouvertes.frPDF
Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
Samuel Laferriere, Marco Bonizzato, Sandrine L. Cote, Numa Dancause and Guillaume Lajoie
IEEE Transactions on Neural Systems and Rehabilitation Engineering
(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
ICRA 2020
(2020-04-09)
dblp.uni-trier.dePDF
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
arXiv preprint arXiv:2004.04697
(2020-04-09)
dblp.uni-trier.dePDF
Establishing an evaluation metric to quantify climate change image realism
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein and Yoshua Bengio
Machine Learning: Science and Technology
(2020-04-09)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1910.10143 (2019-10-22)]
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)
www.sciencedirect.comPDF
Can EEG and MEG detect signals from the human cerebellum
Lau M. Andersen, Karim Jerbi and Sarang S. Dalal
NeuroImage
(2020-04-08)
www.sciencedirect.com
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
Gifting in Multi-Agent Reinforcement Learning (Student Abstract).
Andrei Lupu and Doina Precup
AAAI 2020
(2020-04-03)
aaai.org
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
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
Konrad Ć»oƂna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
AAAI 2020
(2020-04-03)
aaai.org
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
PLOS Biology
(2020-04-03)
journals.plos.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
Learning to cooperate: Emergent communication in multi-agent navigation.
Ivana Kajic, Eser AygĂŒn and Doina Precup
arXiv preprint arXiv:2004.01097
(2020-04-02)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case
Daniel Aloise, Luca G. Gianoli, Andrea Lodi and Leandro R. Costa
Les Cahiers du GERAD
(2020-04-01)
ui.adsabs.harvard.edu
Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem
Jaime E. Gonzålez, 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
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
(2020-04-01)
europepmc.orgPDF

2020-03

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
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
Alexandre Payeur, Jordan Guerguiev, Friedemann Zenke, Blake A. Richards and Richard Naud
bioRxiv
(2020-03-31)
www.biorxiv.orgPDF
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)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Coping With Simulators That Don't Always Return
Andrew Warrington, Saeid Naderiparizi and Frank Wood
arXiv preprint arXiv:2003.12908
(2020-03-28)
ui.adsabs.harvard.eduPDF
Countering Language Drift with Seeded Iterated Learning.
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron Courville
arXiv preprint arXiv:2003.12694
(2020-03-28)
arxiv.orgPDF
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent LariviÚre, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox and Hugo Larochelle
arXiv preprint arXiv:2003.12206
(2020-03-27)
dblp.uni-trier.dePDF
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)
www.scilit.netPDF
On-the-Fly Adaptation of Source Code Models using Meta-Learning
Disha Shrivastava, Hugo Larochelle and Daniel Tarlow
arXiv preprint arXiv:2003.11768
(2020-03-26)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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
arXiv preprint arXiv:2003.10010
(2020-03-22)
dblp.uni-trier.dePDF
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
Sai Rajeswar, Fahim Mannan, Florian Golemo, JĂ©rĂŽme Parent-LĂ©vesque, David VĂĄzquez, Derek Nowrouzezahrai and Aaron C. Courville
International Journal of Computer Vision
(2020-03-20)
link.springer.comPDF
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks.
Yimeng Min, Frederik Wenkel and Guy Wolf
arXiv preprint arXiv:2003.08414
(2020-03-18)
dblp.uni-trier.dePDF
Object-Centric Image Generation from Layouts.
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm and Shikhar Sharma
arXiv preprint arXiv:2003.07449
(2020-03-16)
dblp.uni-trier.dePDF
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 Mohler and Daniel A. ColĂłn-Ramos
bioRxiv
(2020-03-15)
www.biorxiv.orgPDF
Evaluating Logical Generalization in Graph Neural Networks.
Koustuv Sinha, Shagun Sodhani, Joelle Pineau and William L. Hamilton
arXiv preprint arXiv:2003.06560
(2020-03-14)
dblp.uni-trier.dePDF
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)
arxiv.orgPDF
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
Massimo Caccia, Pau RodrĂ­guez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David VĂĄzquez and Laurent Charlin
arXiv preprint arXiv:2003.05856
(2020-03-12)
ui.adsabs.harvard.eduPDF
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
arXiv preprint arXiv:2003.06060
(2020-03-12)
dblp.uni-trier.dePDF
Inter-dependent Centrosomal Co-localization of the cen and ik2 cis-Natural Antisense mRNAs in Drosophila
Julie Bergalet, Dhara Patel, FĂ©lix Legendre, Catherine Lapointe, Louis Philip Benoit Bouvrette, Ashley Chin, Mathieu Blanchette, Eunjeong Kwon and Eric LĂ©cuyer
Cell Reports
(2020-03-10)
www.sciencedirect.com
DIBS: 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)
dblp.uni-trier.dePDF
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift.
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang and Geoffrey J. Gordon
arXiv preprint arXiv:2003.04475
(2020-03-10)
www.microsoft.comPDF
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
Stable Policy Optimization via Off-Policy Divergence Regularization.
Ahmed Touati, Amy Zhang, Joelle Pineau and Pascal Vincent
arXiv preprint arXiv:2003.04108
(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
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
François-Xavier Devailly, Denis Larocque and Laurent Charlin
arXiv preprint arXiv:2003.05738
(2020-03-06)
ui.adsabs.harvard.eduPDF
Not one model ïŹts 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 CÎté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin and Erik Scheme
Frontiers in Bioengineering and Biotechnology
(2020-03-03)
www.frontiersin.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)
e-space.mmu.ac.uk
Curriculum By Smoothing
Samarth Sinha, Animesh Garg and Hugo Larochelle
arXiv preprint arXiv:2003.01367
(2020-03-03)
arxiv.orgPDF
Curriculum By Texture.
Samarth Sinha, Animesh Garg and Hugo Larochelle
(venue unknown)
(2020-03-03)
dblp.uni-trier.dePDF
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.dePDF
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)
dblp.uni-trier.dePDF
Tensor Networks for Probabilistic Sequence Modeling
Jacob Miller, Guillaume Rabusseau and John Terilla
arXiv preprint arXiv:2003.01039
(2020-03-02)
export.arxiv.orgPDF
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Rémi Le Priol and Aaron C. Courville
arXiv preprint arXiv:2003.00688
(2020-03-02)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Probabilistic Sequential Multi-Objective Optimization of Convolutional Neural Networks
Zixuan Yin, Warren Gross and Brett H. Meyer
DATE 2020
(2020-03-01)
dblp.uni-trier.de
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)
advances.sciencemag.orgPDF
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)
dblp.uni-trier.de

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)
arxiv.orgPDF
PAC-Bayes and Domain Adaptation
Pascal Germain, Amaury Habrard, François Laviolette and Emilie Morvant
Neurocomputing
(2020-02-28)
www.sciencedirect.comPDF
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
(2020-02-28)
ui.adsabs.harvard.eduPDF
Policy Evaluation Networks.
Jean Harb, Tom Schaul, Doina Precup and Pierre-Luc Bacon
arXiv preprint arXiv:2002.11833
(2020-02-26)
dblp.uni-trier.dePDF
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
Fasting alters the gut microbiome with sustained blood pressure and body weight reduction in metabolic syndrome patients
Andras Balogh, Hendrik Bartolomaeus, Ulrike Loeber, Ellen G. Avery, Nico Steckhan, Lajos Marko, Nicola Wilck, Ibrahim Hamad, Ursa Susnjar, Anja Maehler, Christoph Hohmann, Holger Cramer, Gustav Dobos, Till Robin Lesker, Till Strowig, Ralf Dechend, Danilo Bzdok, Markus Kleinewietfeld, Andreas Michalsen, Dominik N. Mueller... (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 LuginbĂŒhl, Riccardo Cazzoli, Saumya Agrawal, Nicholas M. Luscombe... (9 more)
Nature Communications
(2020-02-24)
www.nature.com
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
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence.
Nicolas Loizou, Sharan Vaswani, Issam H. Laradji and Simon Lacoste-Julien
arXiv preprint arXiv:2002.10542
(2020-02-24)
dblp.uni-trier.dePDF
Automatic Generation of Specialized Direct Convolutions for Mobile GPUs
Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael F. P. O'Boyle and Christophe Dubach
PPOPP 2020
(2020-02-23)
www.research.ed.ac.ukPDF
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
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
(2020-02-22)
www.scilit.netPDF
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre CÎté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
(venue unknown)
(2020-02-21)
www.microsoft.comPDF
Learning Dynamic Belief Graphs to Generalize on Text-Based Games.
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre CÎté, Mikulåƥ Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
arXiv preprint arXiv:2002.09127
(2020-02-21)
arxiv.orgPDF
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)
doi.org
The Geometry of Sign Gradient Descent
Lukas Balles, Fabian Pedregosa and Nicolas Le Roux
arXiv preprint arXiv:2002.08056
(2020-02-19)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Binary Ostensibly‐Implicit Trees for Fast Collision Detection
Floyd M. Chitalu, Christophe Dubach and Taku Komura
EUROGRAPHICS 2020
(2020-02-17)
www.research.ed.ac.uk
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)
dblp.uni-trier.dePDF
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)
ieeexplore.ieee.org
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon, Jason Jo, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:2002.05120
(2020-02-12)
ui.adsabs.harvard.eduPDF
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
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
Input Dropout for Spatially Aligned Modalities
Sébastien de Blois, Mathieu Garon, Christian Gagné and Jean-François Lalonde
ICIP 2020
(2020-02-07)
ui.adsabs.harvard.edu
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
Sahil Garg, Irina Rish, Guillermo Cecchi, Palash Goyal, Shuyang Gao, Sarik Ghazarian, Greg Ver Steeg and Aram Galstyan
AAAI 2020
(2020-02-07)
aaai.orgPDF
Input Dropout for Spatially Aligned Modalities
Sébastien de Blois, Mathieu Garon, Christian Gagné and Jean-François Lalonde
arXiv preprint arXiv:2002.02852
(2020-02-07)
ui.adsabs.harvard.eduPDF
Improved PAC-Bayesian Bounds for Linear Regression
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain and Mihaly Petreczky
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
(2020-02-07)
aaai.orgPDF
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
Borui Wang and Geoffrey Gordon
AAAI 2020
(2020-02-07)
aaai.orgPDF
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction
Vishal Jain, Liam Fedus, Hugo Larochelle, Doina Precup and Marc G. Bellemare
AAAI 2020
(2020-02-07)
aaai.orgPDF
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
Provably efficient reconstruction of policy networks.
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
Detecting semantic anomalies
Faruk Ahmed and Aaron Courville
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
Exploring Structural Inductive Biases in Emergent Communication.
Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden and Christopher J. Pal
arXiv preprint arXiv:2002.01335
(2020-02-04)
ui.adsabs.harvard.eduPDF
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
Kamrul Hasan and Christopher J. Pal
ACM Transactions on Knowledge Discovery From Data
(2020-02-04)
dl.acm.org
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)
onlinelibrary.wiley.com
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
Combating False Negatives in Adversarial Imitation Learning.
Konrad Zolna, Chitwan Saharia, LĂ©onard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv preprint arXiv:2002.00412
(2020-02-02)
dblp.uni-trier.dePDF
Machine learning in airline crew pairing to construct initial clusters for dynamic constraint aggregation
François Soumis, Yassine Yaakoubi and Simon Lacoste-Julien
Les Cahiers du GERAD
(2020-02-01)
www.gerad.ca
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)
www.sciencedirect.com
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)
jamanetwork.comPDF

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
arXiv preprint arXiv:2002.05651
(2020-01-31)
dblp.uni-trier.dePDF
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
The Indian Chefs Process.
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut GĂŒĂ§lĂŒ, Max Hinne, Philippe GiguĂšre, Brahim Chaib-draa, Marcel van Gerven and François Laviolette
arXiv preprint arXiv:2001.10657
(2020-01-29)
dblp.uni-trier.dePDF
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)
pubs.rsna.org
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)
www.nature.com
Using Simulated Data to Generate Images of Climate Change
Gautier Cosne, Adrien Juraver, MĂ©lisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni and Yoshua Bengio
arXiv preprint arXiv:2001.09531
(2020-01-26)
ui.adsabs.harvard.eduPDF
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 SƂowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik and Sean B. Holden
arXiv preprint arXiv:2001.09063
(2020-01-24)
ui.adsabs.harvard.eduPDF
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
(2020-01-22)
doi.org
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 ÎČ 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.com
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)
www.nature.com
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
(2020-01-10)
www.research.ed.ac.ukPDF
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 preprint arXiv:2001.03255
(2020-01-09)
dblp.uni-trier.dePDF
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
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
(2020-01-02)
www.nature.com
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
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-FernĂĄndez, Derek K. Jones, Carl-Fredrik Westin, Yogesh Rathi... (10 more)
(venue unknown)
(2020-01-01)
link.springer.com
Double-Linear Thompson Sampling for Context-Attentive Bandits.
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni and Irina Rish
(venue unknown)
(2020-01-01)
dblp.uni-trier.de
Semi-supervised Sequential Generative Models.
Michael Teng, Tuan Anh Le, Adam Scibior and Frank Wood
UAI 2020
(2020-01-01)
dblp.uni-trier.de
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition.
Ulysse CÎté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette and Benoit Gosselin
IEEE Access
(2020-01-01)
ui.adsabs.harvard.eduPDF
The Indian Chefs Process.
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut GĂŒĂ§lĂŒ, Max Hinne, Philippe GiguĂšre, Brahim Chaib-draa, Marcel van Gerven and François Laviolette
UAI 2020
(2020-01-01)
www.auai.org
Stable Policy Optimization via Off-Policy Divergence Regularization.
Ahmed Touati, Amy Zhang, Joelle Pineau and Pascal Vincent
UAI 2020
(2020-01-01)
dblp.uni-trier.dePDF
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
(2020-01-01)
xplorestaging.ieee.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)
(2020-01-01)
apo.org.au
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)
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
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation.
Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang and Doina Precup
Autonomous Agents and Multi-Agent Systems
(2020-01-01)
dblp.uni-trier.de[LATEST on arXiv: Learning (2020-05-18)]
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
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.
Christian Weilbach, Boyan Beronov, Frank Wood and William Harvey
AISTATS 2020
(2020-01-01)
proceedings.mlr.press
Coping With Simulators That Don't Always Return.
Andrew Warrington, Frank Wood and Saeid Naderiparizi
AISTATS 2020
(2020-01-01)
proceedings.mlr.pressPDF
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
(2020-01-01)
xplorestaging.ieee.org
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Tanya Nair, Doina Precup, Douglas L. Arnold and Tal Arbel
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
(2020-01-01)
xplorestaging.ieee.org
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
(2020-01-01)
xplorestaging.ieee.org
Givs: Fine-Grained Gesture Control for Mobile Devices in Driving Environments
Landu Jiang, Mingyuan Xia, Xue Liu and Fan Bai
IEEE Access
(2020-01-01)
jglobal.jst.go.jp
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)
doi.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
Mycorrhiza: Genotype Assignment using Phylogenetic Networks.
Jeremy Georges-Filteau, Richard C Hamelin and Mathieu Blanchette
Bioinformatics
(2020-01-01)
academic.oup.com
Activation Adaptation in Neural Networks.
Farnoush Farhadi, Vahid Partovi Nia and Andrea Lodi
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 G. Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi and Liam Paull
Few-Shot Learning
(venue unknown)
(2020-01-01)
PDF
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.
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
(2020-01-01)
www.aclweb.org
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
Gifting in Multi-Agent Reinforcement Learning.
Andrei Lupu and Doina Precup
Autonomous Agents and Multi-Agent Systems
(2020-01-01)
dblp.uni-trier.de
Value Preserving State-Action Abstractions.
David Abel, Nate Umbanhowar, Khimya Khetarpal, Dilip Arumugam, Doina Precup and Michael L. Littman
AISTATS 2020
(2020-01-01)
proceedings.mlr.press
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna Reinen and Irina Rish
Autonomous Agents and Multi-Agent Systems
(2020-01-01)
dblp.uni-trier.de
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
(2020-01-01)
dblp.uni-trier.de
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
AISTATS 2020
(2020-01-01)
proceedings.mlr.press
Accelerating Smooth Games by Manipulating Spectral Shapes.
WaĂŻss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien and Gauthier Gidel
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
(2020-01-01)
proceedings.mlr.press
Toward Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
Neural Computation
(2020-01-01)
ui.adsabs.harvard.eduPDF
Compositional Generalization by Factorizing Alignment and Translation.
Jacob Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
ACL 2020
(2020-01-01)
www.aclweb.org

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
On the Morality of Artificial Intelligence.
Alexandra Luccioni and Yoshua Bengio
arXiv preprint arXiv:1912.11945
(2019-12-26)
dblp.uni-trier.dePDF
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition.
Ulysse CÎté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette and Benoit Gosselin
arXiv preprint arXiv:1912.11037
(2019-12-21)
ui.adsabs.harvard.eduPDF
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)
dblp.uni-trier.dePDF
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
CPAIOR 2019
(2019-12-17)
dblp.uni-trier.dePDF
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
arXiv preprint arXiv:1912.08112
(2019-12-17)
dblp.uni-trier.dePDF
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition
Ulysse CÎté-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
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)
dblp.uni-trier.dePDF
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
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
ECCV 2019
(2019-12-11)
dblp.uni-trier.de
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
arXiv preprint arXiv:1912.05094
(2019-12-11)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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
Automated segmentation of cortical layers in BigBrain reveals divergent cortical and laminar thickness gradients 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 Dicksheid, Paul C Fletcher, Adriana Romero, Karl Zilles, Katrin Amunts, Yoshua Bengio and Alan C. Evans
bioRxiv
(2019-12-10)
www.biorxiv.orgPDF
Inherent Tradeoffs in Learning Fair Representation
Han Zhao and Geoff Gordon
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
The Option Keyboard: Combining Skills in Reinforcement Learning
Andre Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygun, Philippe Hamel, Daniel Toyama, Jonathan J Hunt, Shibl Mourad, David Silver and Doina Precup
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan, Mingde Zhao, Xiao-Wen Chang and Doina Precup
Hindsight Credit Assignment
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Gregory Wayne, Satinder Singh, Doina Precup and Remi Munos
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley J Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat and Frank Wood
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
The Thermodynamic Variational Objective
Vaden Masrani, Tuan Anh Le and Frank Wood
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
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc Bellemare, Will Dabney, Robert Dadashi-Tazehozi, Adrien Ali Taiga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore and Clare Lyle
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm and William Buchwalter
Learning Neural Networks with Adaptive Regularization
Han Zhao, Yao-Hung Tsai, Ruslan Salakhutdinov and Geoffrey Gordon
Towards modular and programmable architecture search
Renato Negrinho, Matthew Gormley, Geoffrey Gordon, Darshan Patil, Nghia Le and Daniel Ferreira
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David Duvenaud, Raquel Urtasun and Richard Zemel
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau and Mike Rabbat
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
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
(2019-12-08)
papers.nips.ccPDF
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse, Didier Chetelat, Nicola Ferroni, Laurent Charlin and Andrea Lodi
Real-Time Reinforcement Learning
Simon Ramstedt and Chris Pal
Neural Multisensory Scene Inference
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal and Sungjin Ahn
Reducing the variance in online optimization by transporting past gradients
SĂ©bastien Arnold, Pierre-Antoine Manzagol, Reza Harikandeh, Ioannis Mitliagkas and Nicolas Le Roux
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani, Aaron Mishkin, Issam Laradji, Mark Schmidt, Gauthier Gidel and Simon Lacoste-Julien
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret and Simon Lacoste-Julien
Ordered Memory
Yikang Shen, Shawn Tan, SeyedArian Hosseini, Zhouhan Lin, Alessandro Sordoni and Aaron Courville
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
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 Courville
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Alex Lamb, vikas verma, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio and Chris Pal
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Damien Querlioz and Julie Grollier
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit, VĂ­ctor Campos and Yoshua Bengio
Variational Temporal Abstraction
Taesup Kim, Sungjin Ahn and Yoshua Bengio
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
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre CÎté and R Devon Hjelm
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine and Pierre Sermanet
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 Courville
Disjunctive cuts for Mixed-Integer Conic Optimization.
Andrea Lodi, Mathieu Tanneau and Juan Pablo Vielma
arXiv preprint arXiv:1912.03166
(2019-12-06)
arxiv.orgPDF
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
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
(2019-12-03)
www.nature.com
Detecting GAN generated errors.
Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger and Gregory Dudek
arXiv preprint arXiv:1912.00527
(2019-12-02)
dblp.uni-trier.dePDF
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
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 MĂ€rz, 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)
ieeexplore.ieee.org
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)
www.sciencedirect.comPDF
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)
dblp.uni-trier.dePDF

2019-11

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 preprint arXiv:1904.00976 (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)
export.arxiv.orgPDF
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction
Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup and Marc G. Bellemare
arXiv preprint arXiv:1911.12511
(2019-11-28)
arxiv.orgPDF
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)
dblp.uni-trier.dePDF
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.eduPDF
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)
hraf.yale.eduPDF
JANOS: An Integrated Predictive and Prescriptive Modeling Framework.
David Bergman, Teng Huang, Philip Brooks, Andrea Lodi and Arvind U. Raghunathan
arXiv preprint arXiv:1911.09461
(2019-11-21)
dblp.uni-trier.dePDF
Game theoretical analysis of Kidney Exchange Programs.
Margarida Carvalho and Andrea Lodi
arXiv preprint arXiv:1911.09207
(2019-11-20)
dblp.uni-trier.dePDF
Online Learned Continual Compression with Stacked Quantization Module.
Lucas Caccia, Eugene Belilovsky, Massimo Caccia and Joelle Pineau
arXiv preprint arXiv:1911.08019
(2019-11-19)
dblp.uni-trier.dePDF
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 GĂŒneƟ 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.netPDF
Etalumis: bringing probabilistic programming to scientific simulators at scale
Atilim GĂŒneƟ 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
arXiv preprint arXiv:1911.06962
(2019-11-16)
dblp.uni-trier.dePDF
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, NoĂ«mi Aepli, Ćœeljko Agić, Lars Ahrenberg, Gabrielė AleksandravičiĆ«tė, 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)
dblp.uni-trier.de
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 LĂ©cuyer
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)
dblp.uni-trier.dePDF
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
(2019-11-13)
dblp.uni-trier.dePDF
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
arXiv: Learning
(2019-11-13)
research.googlePDF
What Do Compressed Deep Neural Networks Forget
Sara Hooker, Aaron Courville, Gregory Clark, Yann Dauphin and Andrea Frome
arXiv preprint arXiv:1911.05248
(2019-11-13)
il.arxiv.org
Myeloarchitecture gradients in the human insula serve as blueprints for its diverse connectivity and function
Jessica Royer, Casey Paquola, Sara LariviĂšre, Reinder Vos de Wael, Shahin Tavakol, Alexander J. Lowe, Oualid Benkarim, Alan C. Evans, Danilo Bzdok, Jonathan Smallwood, Birgit Frauscher and Boris C. Bernhardt
bioRxiv
(2019-11-12)
www.biorxiv.orgPDF
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.
Qinglong Wang, Kaixuan Zhang, Xue Liu and C. Lee Giles
arXiv preprint arXiv:1911.04644
(2019-11-12)
dblp.uni-trier.dePDF
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)]
Preventing Posterior Collapse in Sequence VAEs with Pooling
Teng Long, Yanshuai Cao and Jackie Chi Kit Cheung
arXiv preprint arXiv:1911.03976
(2019-11-10)
dblp.uni-trier.dePDF
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 Kƙivánek and Wojciech Jarosz
ACM Transactions on Graphics
(2019-11-08)
doi.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
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
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
arXiv preprint arXiv:1911.01205
(2019-11-04)
dblp.uni-trier.dePDF
Referring Expression Generation Using Entity Profiles
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
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
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau and William L. Hamilton
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, JoĂŁo Monteiro, Mohammad Darvishi, Tiago H. Falk and Ioannis Mitliagkas
arXiv: Learning
(2019-11-03)
arxiv.orgPDF
Adversarial target-invariant representation learning for domain generalization
Isabela Albuquerque, JoĂŁo Monteiro, Mohammad Darvishi, Tiago H. Falk and Ioannis Mitliagkas
arXiv preprint arXiv:1911.00804
(2019-11-03)
ui.adsabs.harvard.edu
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre CÎté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio and Adam Trischler
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
Option-critic in cooperative multi-agent systems
Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu and Doina Precup
Autonomous Agents and Multi-Agent Systems
(2019-11-01)
dl.acm.org
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
Tianyu Li, Bogdan Mazoure, Doina Precup and Guillaume Rabusseau
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
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni and Aaron Courville
arXiv: Learning
(2019-10-29)
arxiv.orgPDF
Attention for Inference Compilation.
William Harvey, Andreas Munk, Atilim GĂŒnes Baydin, Alexander Bergholm and Frank Wood
arXiv preprint arXiv:1910.11961
(2019-10-25)
dblp.uni-trier.dePDF
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.
Andreas Munk, Adam Scibior, Atilim GĂŒnes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip and Frank Wood
arXiv preprint arXiv:1910.11950
(2019-10-25)
dblp.uni-trier.dePDF
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
Sanjay Thakur, Herke Van Hoof, Gunshi Gupta and David Meger
arXiv preprint arXiv:1910.10367
(2019-10-23)
ui.adsabs.harvard.eduPDF
gradSLAM: Dense SLAM meets Automatic Differentiation.
Krishna Murthy Jatavallabhula, Ganesh Iyer and Liam Paull
arXiv preprint arXiv:1910.10672
(2019-10-23)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Amortized Rejection Sampling in Universal Probabilistic Programming.
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim GĂŒnes 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
Toward Metrics for Differentiating Out-of-Distribution Sets
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba
ECAI 2019
(2019-10-18)
dblp.uni-trier.de
Toward Metrics for Differentiating Out-of-Distribution Sets.
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné and Rakesh Bobba
arXiv preprint arXiv:1910.08650
(2019-10-18)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
Raghav Mehta, Thomas Christinck, Tanya Nair, Paul LemaĂźtre, Douglas L. Arnold and Tal Arbel
UNSURE/CLIP@MICCAI
(2019-10-17)
doi.org
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 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
Learning chordal extensions.
Defeng Liu, Andrea Lodi and Mathieu Tanneau
arXiv preprint arXiv:1910.07600
(2019-10-16)
arxiv.org
SGP: Spotting Groups Polluting the Online Political Discourse.
Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha and Reihaneh Rabbany
arXiv preprint arXiv:1910.07130
(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 LaverdiĂšre, Daniel Sinnett, Pierre Jolicoeur and Sarah LippĂ©
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: Computer Science and Game Theory
(2019-10-14)
ui.adsabs.harvard.eduPDF
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 LemaĂźtre, 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
Visualizing High Dimensional Dynamical Processes
Andres F. Duque, Guy Wolf and Kevin R. Moon
MLSP 2019
(2019-10-12)
sigport.orgPDF
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain and Benjamin Guedj
UAI 2019
(2019-10-10)
www.auai.orgPDF
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain and Benjamin Guedj
arXiv preprint arXiv:1910.04464
(2019-10-10)
hal.inria.frPDF
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 MĂŒller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider and Bennett Landman
arXiv preprint arXiv:1910.04071
(2019-10-09)
ui.adsabs.harvard.eduPDF
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions.
Viswanath Sivakumar, Tim RocktĂ€schel, Alexander H. Miller, Heinrich KĂŒttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau and Sebastian Riedel
arXiv preprint arXiv:1910.04054
(2019-10-09)
dblp.uni-trier.dePDF
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
Benchmarking Batch Deep Reinforcement Learning Algorithms.
Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh and Joelle Pineau
arXiv preprint arXiv:1910.01708
(2019-10-03)
dblp.uni-trier.dePDF
NeuroPycon: A free 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
bioRxiv
(2019-10-02)
www.biorxiv.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 preprint arXiv:1910.00760
(2019-10-02)
export.arxiv.orgPDF
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
(2019-10-02)
www.nature.com
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)
export.arxiv.orgPDF
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
Learning chordal extensions
Andrea Lodi, Mathieu Tanneau and Defeng Liu
Les Cahiers du GERAD
(2019-10-01)
www.gerad.caPDF
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 preprint arXiv:1910.00528
(2019-10-01)
ui.adsabs.harvard.eduPDF
Continual Learning of New Sound Classes Using Generative Replay
Zhepei Wang, Cem Subakan, Efthymios Tzinis, Paris Smaragdis and Laurent Charlin
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
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

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)
arxiv.orgPDF
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 preprint arXiv:1906.11786
(2019-09-25)
dblp.uni-trier.dePDF
Adversarial Privacy Preservation under Attribute Inference Attack
Han Zhao, Jianfeng Chi, Yuan Tian and Geoffrey J. Gordon
arXiv preprint arXiv:1906.07902
(2019-09-25)
ui.adsabs.harvard.eduPDF
Equivariant Entity-Relationship Networks
Devon Graham and Siamak Ravanbakhsh
arXiv preprint arXiv:1903.09033
(2019-09-25)
openreview.netPDF
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)
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
arXiv preprint arXiv:2002.08329
(2019-09-25)
dblp.uni-trier.dePDF
Assessing Generalization in TD methods for Deep Reinforcement Learning
Emmanuel Bengio, Doina Precup and Joelle Pineau
(venue unknown)
(2019-09-25)
openreview.netPDF
Novelty Search in representational space for sample efficient exploration
Ruo Yu Tao, Vincent François-Lavet 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)
dblp.uni-trier.dePDF
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel and Roberto Calandra
arXiv preprint arXiv:2005.03648
(2019-09-25)
dblp.uni-trier.dePDF
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau and Rob Fergus
arXiv preprint arXiv:1910.01741
(2019-09-25)
dblp.uni-trier.dePDF
Transfer Active Learning For Graph Neural Networks
Shengding Hu, Meng Qu, Zhiyuan Liu and Jian Tang
(venue unknown)
(2019-09-25)
openreview.netPDF
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
Glen Berseth and Christopher Pal
(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
Paul Barde, Julien Roy, FĂ©lix G. Harvey, Derek Nowrouzezahrai and Christopher J. Pal
arXiv preprint arXiv:1908.02269
(2019-09-25)
ui.adsabs.harvard.eduPDF
Towards Understanding Generalization in Gradient-Based Meta-Learning
Simon Guiroy, Vikas Verma and Christopher J. Pal
arXiv preprint arXiv:1907.07287
(2019-09-25)
dblp.uni-trier.dePDF
Are Few-shot Learning Benchmarks Too Simple ?
arXiv: Learning
(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
Recurrent Independent Mechanisms.
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio and Bernhard Schölkopf
arXiv preprint arXiv:1909.10893
(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)
www.ncbi.nlm.nih.govPDF
Revisit Policy Optimization in Matrix Form.
Sitao Luan, Xiao-Wen Chang and Doina Precup
arXiv preprint arXiv:1909.09186
(2019-09-19)
dblp.uni-trier.dePDF
Learning Sparse Mixture of Experts for Visual Question Answering
Vardaan Pahuja, Jie Fu and Christopher J. Pal
arXiv preprint arXiv:1909.09192
(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.com
Kotlin∇: A shape-safe DSL for differentiable programming
Breandan Considine, Michalis Famelis and Liam Paull
(venue unknown)
(2019-09-17)
openreview.netPDF
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 preprint arXiv:1909.06865
(2019-09-15)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Torchmeta: A Meta-Learning library for PyTorch
Tristan Deleu, Tobias WĂŒrfl, Mandana Samiei, Joseph Paul Cohen and Yoshua Bengio
arXiv preprint arXiv:1909.06576
(2019-09-14)
ui.adsabs.harvard.eduPDF
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
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
Inferring hierarchies of latent features in calcium imaging data
Luke Y. Prince and Blake A. Richards
(venue unknown)
(2019-09-11)
openreview.net
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)
dl.acm.orgPDF
Geometric wavelet scattering on graphs and manifolds
Feng Gao, Matthew Hirn, Michael Perlmutter and Guy Wolf
Wavelets and Sparsity XVIII
(2019-09-09)
www.spiedigitallibrary.org
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian, Raymond Li, Jonathan Pilault and Christopher J. Pal
arXiv preprint arXiv:1909.03186
(2019-09-07)
dblp.uni-trier.dePDF
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)
arxiv.orgPDF
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
Teaching Modelling Literacy: An Artificial Intelligence Approach
Rijul Saini, Gunter Mussbacher, Jin L.C. Guo and Joerg Kienzle
MODELS 2019
(2019-09-01)
doi.org
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)
dblp.uni-trier.de
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
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.
David MacĂȘdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp and Teresa Bernarda Ludermir
arXiv preprint arXiv:1908.05569
(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 MacĂȘdo, 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)
arxiv.org
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)
www.ijcai.org
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.au
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
Adrien Ali TaĂŻga, William Fedus, Marlos C. Machado, Aaron C. Courville and Marc G. Bellemare
arXiv preprint arXiv:1908.02388
(2019-08-06)
ui.adsabs.harvard.eduPDF
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)
link.springer.com
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)
ui.adsabs.harvard.edu
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
Interpolation Consistency Training for Semi-supervised Learning
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio and David Lopez-Paz

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 preprint arXiv:1908.00061
(2019-07-31)
dblp.uni-trier.dePDF
Morphological Irregularity Correlates with Frequency
Shijie Wu, Ryan Cotterell and Timothy O'Donnell
Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar and Alain Tapp
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
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
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh and Jackie Chi Kit Cheung
On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault, Jaehong Park and Christopher Pal
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar and Yoshua Bengio
Subspace neural physics: fast data-driven interactive simulation
Daniel Holden, Bang Chi Duong, Sayantan Datta and Derek Nowrouzezahrai
SCA 2019
(2019-07-26)
dblp.uni-trier.de
Hierarchical Gating Networks for Sequential Recommendation
Chen Ma, Peng Kang and Xue Liu
ER-AE: Differentially-private Text Generation for Authorship Anonymization
Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung and Farkhund Iqbal
arXiv preprint arXiv:1907.08736
(2019-07-20)
ui.adsabs.harvard.eduPDF
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.org
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
Improved Knowledge Graph Embedding Using Background Taxonomic Information.
Bahare Fatemi, Siamak Ravanbakhsh and David Poole
AAAI 2019
(2019-07-17)
aaai.org
Learning Options with Interest Functions
Khimya Khetarpal and Doina Precup
AAAI 2019
(2019-07-17)
www.aaai.orgPDF
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 LĂ©cuyer 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
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
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
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location.
Andrea Lodi, Luca Mossina and Emmanuel Rachelson
arXiv preprint arXiv:1907.05765
(2019-07-12)
dblp.uni-trier.dePDF
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz and Emre Kiciman
Social Science Research Network
(2019-07-11)
www.frontiersin.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
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)
ieeexplore.ieee.org
Smoother: A Smooth Renewable Power-Aware Middleware
Xinxin Liu, Yu Hua, Xue Liu, Ling Yang and Yuanyuan Sun
ICDCS 2019
(2019-07-07)
doi.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.eg.org

2019-06

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 Jf Cameron, Matthew Valentine, Yulia A Medvedeva, Shuhei Noguchi, Eneritz Agirre, Kaori Kashi, Samudyata, Joachim Luginbuehl, Riccardo Cazzoli, Saumya Agrawal, Nicholas M Luscombe... (9 more)
bioRxiv
(2019-06-27)
www.biorxiv.orgPDF
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah and Christopher J. Pal
arXiv preprint arXiv:1906.11951
(2019-06-27)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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 preprint arXiv:1906.09691
(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
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.eduPDF
Adversarial Task-Specific Privacy Preservation under Attribute Attack.
Han Zhao, Jianfeng Chi, Yuan Tian and Geoffrey J. Gordon
arXiv: Learning
(2019-06-19)
dblp.uni-trier.dePDF
Inherent Tradeoffs in Learning Fair Representations
Han Zhao and Geoffrey J. Gordon
arXiv preprint arXiv:1906.08386
(2019-06-19)
arxiv.orgPDF
GEAR: Geometry-Aware RĂ©nyi Information.
Jose Gallego-Posada, Ankit Vani, Max Schwarzer and Simon Lacoste-Julien
arXiv: Learning
(2019-06-19)
dblp.uni-trier.dePDF
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)
arxiv.org
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)
arxiv.org
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)
research.googlePDF
Heterogeneous Robot Teams for Informative Sampling.
Travis Manderson, Sandeep Manjanna and Gregory Dudek
arXiv preprint arXiv:1906.07208
(2019-06-17)
dblp.uni-trier.dePDF
Lower Bounds and Conditioning of Differentiable Games.
Adam Ibrahim, WaĂŻss Azizian, Gauthier Gidel and Ioannis Mitliagkas
arXiv preprint arXiv:1906.07300
(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)
dblp.uni-trier.dePDF
Conditional Computation for Continual Learning
Min Lin, Jie Fu and Yoshua Bengio
arXiv preprint arXiv:1906.06635
(2019-06-16)
ui.adsabs.harvard.eduPDF
Volume Path Guiding Based on Zero-Variance Random Walk Theory
Sebastian Herholz, Yangyang Zhao, Oskar Elek, Derek Nowrouzezahrai, Hendrik P. A. Lensch and Jaroslav Kƙivánek
ACM Transactions on Graphics
(2019-06-15)
dl.acm.org
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
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces.
Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan and Daniel Tarlow
arXiv preprint arXiv:1906.06062
(2019-06-14)
dblp.uni-trier.dePDF
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
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)
dblp.uni-trier.dePDF
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
arXiv preprint arXiv:1906.05945
(2019-06-13)
aps.arxiv.org
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.
arXiv: Learning
(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
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. Kording, Carla 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
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 Rabbat
Amortized Monte Carlo Integration
Adam Golinski, Frank Wood and Tom Rainforth
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward Smith, Adriana Romero, Scott Fujimoto and David Meger
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
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, SĂ©bastien Gambs, Satoshi Hara and Alain Tapp
The Value Function Polytope in Reinforcement Learning
Robert Dadashi, Marc Bellemare, Adrien Ali Taiga, Nicolas Le Roux and Dale Schuurmans
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland, Robert Dadashi, Saurabh Kumar, Remi Munos, Marc Bellemare and Will Dabney
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
On Learning Invariant Representation for Domain Adaptation
Han Zhao, Remi Tachet des Combes, Kun Zhang and Geoff Gordon
Compositional Invariance Constraints for Graph Embeddings
Avishek Bose and William Hamilton
ICML 2019
(2019-06-09)
icml.cc
Per-Decision Option Discounting
Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Nowe and Doina Precup
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Separable value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau and Emma Brunskill
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
TarMAC: Targeted Multi-Agent Communication
Abhishek Das, Theophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael Rabbat and Joelle Pineau
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque, Joao Monteiro, Thang Doan, Breandan Considine, Tiago Falk and Ioannis Mitliagkas
Unreproducible research is reproducible
Xavier Bouthillier, CĂ©sar Laurent and Pascal Vincent
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Note on the bias and variance of variational inference.
Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1906.03708
(2019-06-09)
dblp.uni-trier.dePDF
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste and Aaron Courville
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
(2019-06-09)
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
(2019-06-09)
proceedings.mlr.pressPDF
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio and Aaron Courville
Reducing the variance in online optimization by transporting past gradients
SĂ©bastien M. R. Arnold, Pierre-Antoine Manzagol, Reza Babanezhad, Ioannis Mitliagkas and Nicolas Le Roux
arXiv preprint arXiv:1906.03532
(2019-06-08)
arxiv.orgPDF
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)
link.springer.com
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 Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
arXiv preprint arXiv:1906.00410
(2019-06-02)
arxiv.org
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 preprint arXiv:1906.00443
(2019-06-02)
ui.adsabs.harvard.eduPDF
Understanding the Behaviour of Neural Abstractive Summarizers Using Contrastive Examples
Krtin Kumar and Jackie Chi Kit Cheung
NAACL 2019
(2019-06-02)
naacl2019.org
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
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
(2019-06-01)
dl.acm.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

2019-05

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
arXiv preprint arXiv:1905.13633
(2019-05-31)
arxiv.orgPDF
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)
doi.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
Structure Learning for Neural Module Networks.
Vardaan Pahuja, Jie Fu, Sarath Chandar and Christopher Joseph Pal
EMNLP 2019
(2019-05-27)
doi.orgPDF
Attention Based Pruning for Shift Networks
Ghouthi Boukli Hacene, Carlos Eduardo Rosar KĂłs Lassance, Vincent Gripon, Matthieu Courbariaux and Yoshua Bengio
arXiv preprint arXiv:1905.12300
(2019-05-27)
hal.archives-ouvertes.frPDF
Bit-Slicing FPGA Accelerator for Quantized Neural Networks
Olexa Bilaniuk, Sean Wagner, Yvon Savaria and Jean-Pierre David
ISCAS 2019
(2019-05-26)
doi.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)
arxiv.orgPDF
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)
arxiv.orgPDF
Analysis and detection of information types of open source software issue discussions
Deeksha Arya, Wenting Wang, Jin L. C. Guo and Jinghui Cheng
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)
www.frontiersin.org
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum and Marc G. Bellemare
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose and William L. Hamilton
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
Adrian Tousignant, Paul LemaĂźtre, Doina Precup, Douglas L. Arnold and Tal Arbel
International Conference on Medical Imaging with Deep Learning
(2019-05-24)
proceedings.mlr.pressPDF
Recurrent Value Functions.
Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup and Joelle Pineau
arXiv preprint arXiv:1905.09562
(2019-05-23)
dblp.uni-trier.dePDF
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)
doi.org
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
(2019-05-20)
www.computer.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
In Support of Over-Parametrization in Deep Reinforcement Learning: an Empirical Study
Brady Neal and Ioannis Mitliagkas
(venue unknown)
(2019-05-17)
openreview.net
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
Provably Accelerated Randomized Gossip Algorithms
Nicolas Loizou, Michael Rabbat and Peter Richtarik
ICASSP 2019
(2019-05-12)
ieeexplore.ieee.orgPDF
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
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
Deep Generative and Discriminative Domain Adaptation
Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates and Geoff Gordon
AAMAS 2019
(2019-05-08)
dl.acm.org
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.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
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent and Simon Lacoste-Julien
ICLR 2019
(2019-05-06)
iclr.ccPDF
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni and Aaron Courville
(venue unknown)
(2019-05-06)
www.microsoft.com
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen, Shawn Tan, Alessandro Sordoni and Aaron Courville
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Mikhail Noukhovitch, Thien H Nguyen, Harm de Vries and Aaron Courville
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
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.ccPDF
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
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanellu, Mohamed Morchid, Georges LinarÚs, Chiheb Trabelsi, Renato De Mori and Yoshua Bengio
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, GeneviÚve Boucher, Rayid Ghani, Yoshua Bengio and Kentaro Toyama
ICLR 2019
(2019-05-06)
iclr.cc
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio and Christopher Pal
ICLR 2019
(2019-05-06)
iclr.ccPDF
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal Alias Parth Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.ccPDF
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal Alias Parth Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy Lillicrap, Sergey Levine, Hugo Larochelle and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.ccPDF
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
Ali Farshchian, Juan Álvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E Miller and Sara A Solla
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
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien H Nguyen and Yoshua Bengio
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Combes, Adam Trischler, Yoshua Bengio and Geoffrey Gordon
Deep Graph Infomax
Petar Veličković, William Fedus, William L Hamilton, Pietro LiĂČ, Yoshua Bengio and R Devon Hjelm
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
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)
doi.orgPDF
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Veličković, Pietro LiĂČ 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
CHI 2019
(2019-05-02)
dblp.uni-trier.dePDF
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
Semantic Mapping for View-Invariant Relocalization
ICRA 2019
(2019-05-01)
dblp.uni-trier.de
Generating Adversarial Driving Scenarios in High-Fidelity Simulators
Yasasa Abeysirigoonawardena, Florian Shkurti and Gregory Dudek
ICRA 2019
(2019-05-01)
dblp.uni-trier.de
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
Moving beyond reward prediction errors
Nature Machine Intelligence
(2019-05-01)
www.nature.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
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
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio and Liam Paull

2019-04

Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks.
arXiv preprint arXiv:1904.13262
(2019-04-30)
arxiv.orgPDF
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 preprint arXiv:1904.11439
(2019-04-25)
ui.adsabs.harvard.eduPDF
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)
ui.adsabs.harvard.edu
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
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
(venue unknown)
(2019-04-12)
www.ssrn.com
Spatio-Temporal Deep Graph Infomax.
Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro LiĂČ and R. Devon Hjelm
arXiv preprint arXiv:1904.06316
(2019-04-12)
dblp.uni-trier.dePDF
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, RĂ©mi 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 SerrĂ , Antonio Bonafonte and Yoshua Bengio
Flight-connection prediction for airline crew scheduling to construct initial clusters for OR optimizer
François Soumis, Yassine Yaakoubi and Simon Lacoste-Julien
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

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
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)
doi.org
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
(2019-03-21)
dblp.uni-trier.de
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
Counterpoint by Convolution.
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville and Douglas Eck
arXiv preprint arXiv:1903.07227
(2019-03-18)
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 RĂ©gnier, Lisa Di Jorio, Christopher J. Pal, RĂ©al Lapointe, Franck Vandenbroucke-Menu, Simon Turcotte, Samuel Kadoury and An Tang
Radiology: Artificial Intelligence
(2019-03-13)
pubs.rsna.org
Imitation Learning of Factored Multi-agent Reactive Models
Michael Teng, Tuan Anh Le, Adam Scibior and Frank Wood
arXiv preprint arXiv:1903.04714
(2019-03-12)
arxiv.orgPDF
Adversarial Mixup Resynthesizers
Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm and Christopher J. Pal
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio and Christopher Pal
arXiv preprint arXiv:1903.02709
(2019-03-07)
aps.arxiv.org
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)
doi.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)
export.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
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.com
Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification.
arXiv preprint arXiv:1902.08605
(2019-02-22)
dblp.uni-trier.dePDF
When AIs Outperform Doctors: Confronting the Challenges of a Tort-Induced Over-Reliance on Machine Learning
A. Michael Froomkin, Ian R. Kerr and Joelle Pineau
Ariz. L. Rev.
(2019-02-20)
repository.law.miami.eduPDF
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)
www.microsoft.comPDF
Anytime Tail Averaging.
arXiv preprint arXiv:1902.05083
(2019-02-13)
dblp.uni-trier.dePDF
Searchable Storage in Cloud Computing
Xue Liu and Yu Hua
(venue unknown)
(2019-02-08)
www.amazon.com
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang and Michal Drozdzal
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)
export.arxiv.orgPDF
Separating value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati, Emma Brunskill, Joelle Pineau and Yann Ollivier
arXiv preprint arXiv:1902.01883
(2019-02-05)
arxiv.orgPDF
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
arXiv preprint arXiv:1901.11461
(2019-01-31)
arxiv.orgPDF
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)
dblp.uni-trier.dePDF
The Value Function Polytope in Reinforcement Learning
Robert Dadashi, Adrien Ali TaĂŻga, Nicolas Le Roux, Dale Schuurmans and Marc G. Bellemare
arXiv preprint arXiv:1901.11524
(2019-01-31)
arxiv.orgPDF
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taiga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore and Clare Lyle
arXiv preprint arXiv:1901.11530
(2019-01-31)
export.arxiv.orgPDF
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 Burtsev and Jason Weston
arXiv preprint arXiv:1902.00098
(2019-01-31)
link.springer.comPDF
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 MĂ€rz, Oskar Maier... (18 more)
Nature Communications
(2019-01-30)
www.nature.com
Gated Attentive-Autoencoder for Content-Aware Recommendation
Chen Ma, Peng Kang, Bin Wu, Qinglong Wang and Xue Liu
Session-Based Social Recommendation via Dynamic Graph Attention Networks
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang and Jian Tang
WSDM 2019
(2019-01-30)
doi.orgPDF
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)
arxiv.orgPDF
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, SĂ©bastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
arXiv preprint arXiv:1901.10912
(2019-01-30)
export.arxiv.orgPDF
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-negative Tensor Factorization
Kejing Yin, Dong Qian, William Cheung, Benjamin C. M. Fung and Jonathan A Poon
AAAI 2019
(2019-01-27)
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 Mb Lyle, Pablo Samuel Castro and Marc G. Bellemare
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey, William 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
(2019-01-27)
aaai.orgPDF
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
(2019-01-27)
aaai.orgPDF
Contextualized Non-local Neural Networks for Sequence Learning
Pengfei Liu, Shuaichen Chang, Jian Tang and Jackie Chi Kit Cheung
AAAI 2019
(2019-01-27)
aaai.orgPDF
Leveraging observations in bandits: Between risks and benefits
Andrei Lupu, Audrey Durand and Doina Precup
AAAI 2019
(2019-01-27)
www.aaai.orgPDF
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Eric Crawford and Joelle Pineau
AAAI 2019
(2019-01-27)
www.aaai.orgPDF
On-line Adaptative Curriculum Learning for GANs
Thang Doan, Joao B Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau and Devon Hjelm
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou and Yoshua Bengio
Combined Reinforcement Learning via Abstract Representations
vincent francois-lavet, Yoshua Bengio, Doina Precup and Joelle Pineau
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)
dblp.uni-trier.dePDF
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)
ieeexplore.ieee.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.org
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, JĂŒrgen Hesser, Samuel Kadoury, Tomasz Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana LipkovĂ , 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)
dblp.uni-trier.dePDF
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
Scalable appearance filtering for complex lighting effects
Luis E. Gamboa, Jean-Philippe Guertin and Derek Nowrouzezahrai
ACM Transactions on Graphics
(2019-01-10)
jglobal.jst.go.jp
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
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
(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
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 2019
(2019-01-08)
dblp.uni-trier.de
The AI Driving Olympics: An Accessible Robot Learning Benchmark
Andrea Censi, Liam Paull, Jacopo Tani and Matthew R. Walter
NEURIPS 2019
(2019-01-01)
ttic.edu
Impulse Responses for Precomputing Light from Volumetric Media.
Renaud Adrien Dubouchet, Peter-Pike Sloan, Wojciech Jarosz and Derek Nowrouzezahrai
EGSR (DL/I)
(2019-01-01)
dblp.uni-trier.de
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, RĂ©da Alami and Michael G. Rabbat
(venue unknown)
(2019-01-01)
link.springer.com
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow.
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh and Frank Wood
View-dependent Radiance Caching.
Yangyang Zhao, Laurent Belcour and Derek Nowrouzezahrai
GI 2019
(2019-01-01)
dblp.uni-trier.de
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)
doi.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
Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony.
Daniel Harasim, Timothy J. O'Donnell and Martin Rohrmeier
ISMIR 2019
(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)
doi.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 MĂ€der
SE/SWM
(2019-01-01)
dblp.uni-trier.de
Bioinformatics Approaches to Gain Insights into cis-Regulatory Motifs Involved in mRNA Localization.
Louis Philip Benoit Bouvrette, Mathieu Blanchette and Eric LĂ©cuyer
Advances in Experimental Medicine and Biology
(2019-01-01)
link.springer.com
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
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
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.dePDF
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
Seeded self-play for language learning.
Abhinav Gupta, Ryan Lowe, Jakob N. Foerster, Douwe Kiela and Joelle Pineau
EMNLP 2019
(2019-01-01)
dblp.uni-trier.de
Leveraging exploration in off-policy algorithms via normalizing flows.
Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm and Joelle Pineau
Attending Over Triads for Learning Signed Network Embedding
Shagun Sodhani, Meng Qu and Jian Tang
Frontiers in Big Data
(2019-01-01)
www.frontiersin.org
Probability Distillation: A Caveat and Alternatives.
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste and Aaron C. Courville
UAI 2019
(2019-01-01)
dblp.uni-trier.dePDF
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering.
Catalina Cangea, Eugene Belilovsky, Pietro LiĂČ and Aaron C. Courville
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)
research.google

2018-12

Regularized Binary Network Training
Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux and Vahid Partovi Nia
arXiv: Learning
(2018-12-31)
arxiv.org
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)
dblp.uni-trier.de
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)
www.liebertpub.com
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 preprint arXiv:1812.07627
(2018-12-18)
ui.adsabs.harvard.eduPDF
Prediction of Progression in Multiple Sclerosis Patients
Adrian Tousignant, Paul LemaĂźtre, 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
Effectiveness of Alter Sampling in Social Networks.
Naghmeh Momeni and Michael G. Rabbat
arXiv preprint arXiv:1812.03096
(2018-12-07)
dblp.uni-trier.dePDF
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 MĂ€rz, Oskar Maier... (18 more)
Nature Communications
(2018-12-06)
www.nature.comPDF
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
Recurrent transition networks for character locomotion
FĂ©lix G. Harvey and Christopher Pal
Learning safe policies with expert guidance
Jessie Huang, Fa Wu, Doina Precup and Yang Cai
Automatic differentiation in ML: Where we are and where we should be going
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, Will Hamilton and Jure Leskovec
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Temporal Regularization for Markov Decision Process
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Moniz, Christopher Beckham, Simon Rajotte, Sina Honari and Chris Pal
Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin and Chris Pal
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
Kirill Struminsky, Simon Lacoste-Julien and Anton Osokin
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
Thomas George, CĂ©sar Laurent, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste and Aaron Courville
Towards Text Generation with Adversarially Learned Neural Outlines
Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron Courville and Chris Pal
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Nan Ke, Anirudh Goyal Alias Parth Goyal, Olexa Bilaniuk, Jonathan Binas, Michael Mozer, Chris Pal and Yoshua Bengio
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
JoĂŁo Sacramento, Rui Ponte Costa, Yoshua Bengio and Walter Senn
Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia, Joost van de Weijer and Yoshua Bengio
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
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
AGUFM
(2018-12-01)
ui.adsabs.harvard.edu
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)
arxiv.orgPDF
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
arXiv preprint arXiv:1811.10103
(2018-11-25)
export.arxiv.orgPDF
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, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio and Graham W. Taylor
(venue unknown)
(2018-11-24)
www.microsoft.comPDF
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)
osf.io
Contextualized Non-local Neural Networks for Sequence Learning
Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang and Jackie Chi Kit Cheung
arXiv preprint arXiv:1811.08600
(2018-11-21)
arxiv.orgPDF
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell, Zhengnan Huang, Matthew J. Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael Rabbat, Pascal Vincent, Nafissa Yakubova... (7 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)
dblp.uni-trier.dePDF
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
An Introduction to Probabilistic Programming.
J-W van de Meent, B Paige, H Yang and F Wood
arXiv preprint arXiv:1809.10756
(2018-11-14)
publications.eng.cam.ac.ukPDF
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)
dblp.uni-trier.dePDF
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
Blindfold Baselines for Embodied QA.
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle and Aaron C. Courville
arXiv preprint arXiv:1811.05013
(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)
dblp.uni-trier.dePDF
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)
arXiv preprint arXiv:1811.02629
(2018-11-05)
hal.inria.frPDF
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 preprint arXiv:1811.01778
(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)
doi.org
Temporal Regularization in Markov Decision Process
arXiv preprint arXiv:1811.00429
(2018-11-01)
ui.adsabs.harvard.eduPDF

2018-10

A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami, Adam Trischler, Kaheer Suleman, Noelia De La Cruz and Jackie Chi Kit Cheung
EMNLP 2018
(2018-10-31)
ui.adsabs.harvard.edu
A Hierarchical Neural Attention-based Text Classifier
Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung and Derek Ruths
EMNLP 2018
(2018-10-31)
emnlp2018.org
BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof and Jackie Chi Kit Cheung
Extending Neural Generative Conversational Model using External Knowledge Sources
Prasanna Parthasarathi and Joelle Pineau
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc and Pascal Vincent
EMNLP 2018
(2018-10-31)
emnlp2018.org
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov and Christopher D. Manning
Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Florian Golemo, Adrien Ali TaĂŻga, Aaron C. Courville and Pierre-Yves Oudeyer
Conference on Robot Learning (CoRL) 2018
(2018-10-23)
proceedings.mlr.pressPDF
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
arXiv: Artificial Intelligence
(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)
arxiv.orgPDF
Deep Learning. Das umfassende Handbuch
Ian Goodfellow, Yoshua Bengio and Aaron Courville
(venue unknown)
(2018-10-10)
content-select.com
h-detach: Modifying the LSTM Gradient Towards Better Optimization.
Devansh Arpit, Bhargav Kanuparthi, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas and Yoshua Bengio
arXiv preprint arXiv:1810.03023
(2018-10-06)
arxiv.org
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)
dblp.uni-trier.dePDF
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
arXiv preprint arXiv:1810.01375
(2018-10-02)
export.arxiv.orgPDF
Computing Nash equilibria for integer programming games
Andrea Lodi, Margarida Carvalho and JoĂŁo Pedro Pedroso
Les Cahiers du GERAD
(2018-10-01)
www.gerad.ca
Recurrent semi-supervised classification and constrained adversarial generation with motion capture data
FĂ©lix G. Harvey, Julien Roy, David Kanaa and Christopher Joseph Pal
Image and Vision Computing
(2018-10-01)
www.sciencedirect.com

2018-09

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
arXiv preprint arXiv:1812.11800
(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 preprint arXiv:1805.10469
(2018-09-27)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
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
(2018-09-27)
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
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, MikoƂaj BiƄkowski, 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)
dblp.uni-trier.dePDF
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Aaron Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-09-27)
arxiv.org
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
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)
dblp.uni-trier.dePDF
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 Mt Greenwood and J Brent Richards
bioRxiv
(2018-09-11)
www.biorxiv.orgPDF
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)
arxiv.orgPDF
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
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.org
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)
hal.archives-ouvertes.frPDF

2018-08

Approximate Exploration through State Abstraction.
Adrien Ali TaĂŻga, 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 preprint arXiv:1808.07989
(2018-08-24)
export.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)
export.arxiv.orgPDF
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)
arxiv.orgPDF
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
Guy Desaulniers, Fausto Errico, Andrea Lodi and Borzou Rostami
Les Cahiers du GERAD
(2018-08-01)
espace2.etsmtl.ca

2018-07

Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
Eric Larsen, SĂ©bastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
arXiv preprint arXiv:1901.07935
(2018-07-31)
aps.arxiv.orgPDF
Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning.
Eric Larsen, SĂ©bastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
arXiv: Learning
(2018-07-31)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
Arushi Jain, Khimya Khetarpal and Doina Precup
arXiv preprint arXiv:1807.08060
(2018-07-21)
ui.adsabs.harvard.eduPDF
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atılım GĂŒneƟ 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 preprint arXiv:1807.07706
(2018-07-20)
export.arxiv.orgPDF
Active Search of Connections for Case Building and Combating Human Trafficking
Reihaneh Rabbany, David Bayani and Artur Dubrawski
KDD 2018
(2018-07-19)
www.kdd.orgPDF
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
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron Courville and Yoshua Bengio
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)
export.arxiv.orgPDF
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach.
Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau and Yoshua Bengio
arXiv preprint arXiv:1807.04723
(2018-07-12)
ui.adsabs.harvard.eduPDF
On Nesting Monte Carlo Estimators
Tom Rainforth, Rob Cornish, Hongseok Yang, andrew warrington and Frank Wood
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Deep Variational Reinforcement Learning for POMDPs
Maximilian Igl, Luisa Zintgraf, Tuan Anh Le, Frank Wood and Shimon Whiteson
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth, Adam Kosiorek, Tuan Anh Le, Chris Maddison, Maximilian Igl, Frank Wood and Yee Whye Teh
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Convergent Tree-Backup and Retrace with Function Approximation
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Neural Autoregressive Flows
David Krueger, Chin-Wei Huang, Alexandre Lacoste and Aaron Courville
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman and Aaron Courville
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Ke, Konrad Zolna, Alessandro Sordoni, Mila Zhouhan Lin, Yoshua Bengio, Joelle Pineau, Laurent Charlin and Christopher Pal
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Mutual Information Neural Estimator
Mohamed Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R Devon Hjelm and Aaron Courville
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Leveraging Observational Learning for Exploration in Bandits
Andrei Lupu, Audrey Durand and Doina Precup
AAMAS 2018
(2018-07-09)
celweb.vuse.vanderbilt.edu
Eligibility Traces for Options
Ayush Jain and Doina Precup
AAMAS 2018
(2018-07-09)
celweb.vuse.vanderbilt.edu
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
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)
www.ncbi.nlm.nih.govPDF

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)
doi.org
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)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.dePDF
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition.
Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges LinarĂšs, Renato de Mori and Yoshua Bengio
Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal and Jan Kautz
CVPR 2018
(2018-06-18)
openaccess.thecvf.comPDF
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 preprint arXiv:1806.05236
(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
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges LinarĂšs, Chiheb Trabelsi, Renato De Mori and Yoshua Bengio
arXiv preprint arXiv:1806.04418
(2018-06-12)
ui.adsabs.harvard.eduPDF
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 Chris Pal
arXiv preprint arXiv:1806.04342
(2018-06-12)
aps.arxiv.orgPDF
OrĂ­on : 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
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
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
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.dePDF
Randomized Value Functions via Multiplicative Normalizing Flows
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau and Pascal Vincent
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

Dyna Planning using a Feature Based Generative Model.
Ryan Faulkner and Doina Precup
arXiv preprint arXiv:1805.10129
(2018-05-23)
dblp.uni-trier.dePDF
Learning Steering Bounds for Parallel Autonomous Systems
Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman and Daniela Rus
ICRA 2018
(2018-05-21)
doi.org
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps
Teddy Ort, Liam Paull and Daniela Rus
ICRA 2018
(2018-05-21)
doi.org
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)
doi.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
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
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)
doi.orgPDF
Neural Autoregressive Flows
Chin-Wei Huang, David Krueger, Alexandre Lacoste and Aaron Courville
arXiv preprint arXiv:1804.00779
(2018-04-03)
export.arxiv.orgPDF
Experiments on virtual private network design with concave capacity costs
Andrea Lodi and Ahmad Moradi
Optimization Letters
(2018-04-02)
link.springer.com
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal, Philemon Brakel, William Fedus, Timothy Lillicrap, Sergey Levine, Hugo Larochelle and Yoshua Bengio
arXiv preprint arXiv:1804.00379
(2018-04-02)
export.arxiv.orgPDF
Commonsense mining as knowledge base completion? A study on the impact of novelty
StanisƂaw Jastrzębski, 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
(2018-04-01)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1804.09259 (2018-04-24)]
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 RĂ©
AISTATS 2018
(2018-03-31)
proceedings.mlr.pressPDF
Nonlinear Weighted Finite Automata
AISTATS 2018
(2018-03-31)
proceedings.mlr.pressPDF
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)
dblp.uni-trier.de
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

2018-02

A Variational Inequality Perspective on Generative Adversarial Nets
arXiv preprint arXiv:1802.10551
(2018-02-28)
export.arxiv.orgPDF
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
Towards End-to-end Spoken Language Understanding
Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu and Yoshua Bengio
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
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas and Leonidas Guibas
SEARNN: Training RNNs with global-local losses
RĂ©mi Leblond, Jean-Baptiste Alayrac, Anton Osokin and Simon Lacoste-Julien
ICLR 2018
(2018-02-15)
hal.inria.frPDF
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
(2018-02-15)
ui.adsabs.harvard.eduPDF
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 Courville
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, Devon Hjelm and Aaron Courville
arXiv preprint arXiv:1801.04062
(2018-02-15)
ui.adsabs.harvard.eduPDF
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 JĂ©gou 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 to Compute Word Embeddings On the Fly
Dzmitry Bahdanau, Tom Bosc, StanisƂaw Jastrzębski, Edward Grefenstette, Pascal Vincent and Yoshua Bengio
arXiv preprint arXiv:1706.00286
(2018-02-15)
ui.adsabs.harvard.eduPDF
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 Kådår, Adam Trischler and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.microsoft.comPDF
Three factors influencing minima in SGD
StanisƂaw 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
StanisƂaw 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
Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joao Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio and Christopher J Pal
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro LiĂČ and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet and Joelle Pineau
Conference on Robot Learning
(2018-02-12)
proceedings.mlr.pressPDF
Decoupling Dynamics and Reward for Transfer Learning.
Amy Zhang, Harsh Satija and Joelle Pineau
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
CĂ©sar Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent
ICLR 2018
(2018-02-12)
dblp.uni-trier.de
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 Robust Options
Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup and Shie Mannor
arXiv preprint arXiv:1802.03236
(2018-02-09)
arxiv.orgPDF
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
Learning Predictive State Representations from Non-uniform Sampling
Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle and Doina Precup
AAAI 2018
(2018-02-07)
dblp.uni-trier.dePDF
Learning Robust Options
Daniel Mankowitz, Timothy Mann, Shie Mannor, Doina Precup and Pierre-luc Bacon
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 Courville
AAAI 2018
(2018-02-07)
hal.inria.frPDF
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
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
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
Improved asynchronous parallel optimization analysis for stochastic incremental methods
RĂ©mi Leblond, Fabian Pederegosa and Simon Lacoste-Julien
arXiv preprint arXiv:1801.03749
(2018-01-11)
arxiv.orgPDF
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.orgPDF
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
(2018-01-01)
www.aclweb.org
Constructing a Lexicon of Relational Nouns.
Edward Newell and Jackie Chi Kit Cheung
LREC 2018
(2018-01-01)
www.lrec-conf.org
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge
Ali Emami, Adam Trischler, Kaheer Suleman and Jackie Chi Kit Cheung
NAACL 2018
(2018-01-01)
www.aclweb.org
Imitation Upper Confidence Bound for Bandits on a Graph.
Andrei Lupu and Doina Precup
AAAI 2018
(2018-01-01)
dblp.uni-trier.de
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization.
Kian Kenyon-Dean, Jackie Chi Kit Cheung and Doina Precup
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
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)
link.springer.com
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)
dl.acm.orgPDF
Reward Estimation for Variance Reduction in Deep Reinforcement Learning.
Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet and Joelle Pineau
Improved asynchronous parallel optimization analysis for stochastic incremental methods
RĂ©mi Leblond, Fabian Pedregosa and Simon Lacoste-Julien
Journal of Machine Learning Research
(2018-01-01)
jmlr.orgPDF
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
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, Ɓukasz KidziƄski, Sharada Prasanna Mohanty, Carmichael F. Ong, Jennifer L. Hicks, Sergey Levine, Marcel SalathĂ©, Scott Delp, Iker Huerga, Alexander Grigorenko... (19 more)
(venue unknown)
(2018-01-01)
link.springer.com
Neural Models for Key Phrase Extraction and Question Generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler and Yoshua Bengio
ACL 2018
(2018-01-01)
aclanthology.info
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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