Publications test

2020-09

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

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
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
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

2020-07

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 Michèle Finck
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
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
ICML 2020
(2020-07-12)
icml.cc
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
Inductive Relation Prediction by Subgraph Reasoning
Komal Teru, Etienne Denis and Will Hamilton
On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu, Jackie Chi Kit Cheung and Yanshuai Cao
Constrained Markov Decision Processes via Backward Value Functions
Harsh Satija, Philip Amortila and Joelle Pineau
ICML 2020
(2020-07-12)
icml.ccPDF
Invariant Causal Prediction for Block MDPs
Clare Lyle, Amy Zhang, Angelos Filos, Shagun Sodhani, Marta Kwiatkowska, Yarin Gal, Doina Precup and Joelle Pineau
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.cc
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, Waïss Azizian, Gauthier Gidel and Ioannis Mitliagkas
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal VincentSimon Lacoste-Julien and Ioannis Mitliagkas
ICML 2020
(2020-07-12)
icml.cc
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville and Olivier Pietquin
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim, Aaron CourvilleChristopher Pal and Chin-Wei Huang
Revisiting Fundamentals of Experience Replay
William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua BengioHugo Larochelle, Mark Rowland and Will Dabney
ICML 2020
(2020-07-12)
icml.cc
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
ICML 2020
(2020-07-12)
icml.cc
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
Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua BengioHugo Larochelle and Augustus Odena
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
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
Comparing Audience Appreciation to Fact-Checking Across Political Communities on Reddit.
Deven Parekh, Drew Margolin and Derek Ruths
WEBSCI 2020
(2020-07-06)
dblp.uni-trier.de
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
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, 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’DonnellYoshua Bengio and Yue Zhang
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
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)
dblp.uni-trier.de

2020-06

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
arXiv: Robotics
(2020-06-29)
dblp.uni-trier.de
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems.
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio and Michael Mozer
arXiv: Learning
(2020-06-29)
dblp.uni-trier.dePDF
Hybrid Models for Learning to Branch.
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi and Yoshua Bengio
arXiv: Learning
(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)
dblp.uni-trier.dePDF
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)
pubmed.ncbi.nlm.nih.gov
Advances in Asynchronous Parallel and Distributed Optimization.
Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson and Michael Rabbat
arXiv: Learning
(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 Côté, Zhiyuan Liu and Jian Tang
arXiv: Learning
(2020-06-24)
ui.adsabs.harvard.eduPDF
Tensor Networks for Probabilistic Sequence Modeling.
Jacob Miller, Guillaume Rabusseau and John Terilla
arXiv: Learning
(2020-06-24)
arxiv.orgPDF
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: Computer Vision and Pattern Recognition
(2020-06-24)
dblp.uni-trier.dePDF
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)
dx.doi.org
Design and implementation of a modular interior-point solver for linear optimization.
Miguel F. Anjos, Andrea Lodi and Mathieu Tanneau
arXiv: Optimization and Control
(2020-06-23)
arxiv.orgPDF
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde, Julien Roy, Wonseok Jeon, Joelle PineauChristopher J. Pal and Derek Nowrouzezahrai
arXiv: Learning
(2020-06-23)
ui.adsabs.harvard.eduPDF
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy and Yoshua Bengio
arXiv: Computer Vision and Pattern Recognition
(2020-06-23)
ui.adsabs.harvard.eduPDF
Improving Few-Shot Visual Classification with Unlabelled Examples.
Peyman Bateni, Jarred Barber, Jan-Willem van de Meent and Frank Wood
arXiv: Computer Vision and Pattern Recognition
(2020-06-22)
dblp.uni-trier.dePDF
An operator view of policy gradient methods.
Dibya Ghosh, Marlos C. Machado and Nicolas Le Roux
arXiv: Learning
(2020-06-22)
dblp.uni-trier.dePDF
Advantages of biologically-inspired adaptive neural activation in RNNs during learning.
Victor Geadah, Giancarlo Kerg, Stefan Horoi, Guy Wolf and Guillaume Lajoie
arXiv: Learning
(2020-06-22)
dblp.uni-trier.dePDF
Revisiting Loss Modelling for Unstructured Pruning.
César Laurent, Camille Ballas, Thomas George, Nicolas Ballas and Pascal Vincent
arXiv: Learning
(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
Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations.
Mahmoud Assran, Nicolas Ballas, Lluís Castrejón and Michael Rabbat
arXiv: Learning
(2020-06-21)
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: Learning
(2020-06-21)
dblp.uni-trier.dePDF
Contextual Bandit with Adaptive Feature Extraction.
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi and Irina Rish
arXiv: Artificial Intelligence
(2020-06-18)
arxiv.orgPDF
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)
doi.org
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings.
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf and Smita Krishnaswamy
arXiv: Learning
(2020-06-16)
dblp.uni-trier.dePDF
Untangling tradeoffs between recurrence and self-attention in neural networks
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio and Guillaume Lajoie
arXiv: Learning
(2020-06-16)
dblp.uni-trier.dePDF
Supervised Visualization for Data Exploration
Jake S. Rhodes, Adele Cutler, Guy Wolf and Kevin R. Moon
arXiv: Machine Learning
(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: Machine Learning
(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: Neurons and Cognition
(2020-06-14)
dblp.uni-trier.dePDF
A Brief Look at Generalization in Visual Meta-Reinforcement Learning.
Safa Alver and Doina Precup
arXiv: Learning
(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: Learning
(2020-06-14)
dblp.uni-trier.dePDF
Deep Reinforcement and InfoMax Learning.
Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman and R. Devon Hjelm
arXiv: Learning
(2020-06-12)
dblp.uni-trier.dePDF
Learning Causal Models Online.
Khurram Javed, Martha White and Yoshua Bengio
arXiv: Learning
(2020-06-12)
dblp.uni-trier.dePDF
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: Learning
(2020-06-11)
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: Learning
(2020-06-11)
ui.adsabs.harvard.eduPDF
Standardised convolutional filtering for radiomics.
Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières and Alex Zwanenburg
arXiv: Computer Vision and Pattern Recognition
(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
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
(2020-06-08)
hal.archives-ouvertes.fr
On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming
Benjamin Müller, 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
Adversarial Feature Desensitization.
Pouya Bashivan, Blake Richards and Irina Rish
arXiv: Learning
(2020-06-08)
128.84.21.199PDF
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: Neural and Evolutionary Computing
(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: Learning
(2020-06-05)
ui.adsabs.harvard.eduPDF
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
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: Learning
(2020-06-03)
dblp.uni-trier.dePDF
Surprisal-Triggered Conditional Computation with Neural Networks
Loren Lugosch, Derek Nowrouzezahrai and Brett H. Meyer
arXiv: Learning
(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: Neural and Evolutionary Computing
(2020-06-02)
dblp.uni-trier.dePDF
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
(2020-06-02)
www.thelancet.com
Machine and deep learning methods for radiomics.
Michele Avanzo, Lise Wei, Joseph Stancanello, Martin Vallières, Arvind Rao, Olivier Morin, Sarah A. Mattonen and Issam El Naqa
Medical Physics
(2020-06-01)
aapm.onlinelibrary.wiley.comPDF
Machine Learning for COVID-19 needs global collaboration and data-sharing
Nathan Peiffer-Smadja, Redwan Maatoug, François-Xavier Lescure, Eric D’Ortenzio, Joëlle Pineau and Jean-Rémi King
Nature Machine Intelligence
(2020-06-01)
www.nature.com

2020-05

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
bioRxiv
(2020-05-30)
www.biorxiv.orgPDF
Uncertainty Evaluation Metric for Brain Tumour Segmentation.
Raghav Mehta, Angelos Filos, Yarin Gal and Tal Arbel
arXiv: Image and Video Processing
(2020-05-28)
dblp.uni-trier.dePDF
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: Image and Video Processing
(2020-05-24)
dblp.uni-trier.dePDF
Self-supervised Robust Object Detectors from Partially Labelled datasets.
Mahdieh Abbasi, Denis Laurendeau and Christian Gagne
arXiv: Computer Vision and Pattern Recognition
(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: Formal Languages and Automata Theory
(2020-05-23)
dblp.uni-trier.dePDF
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
bioRxiv
(2020-05-22)
www.biorxiv.orgPDF
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
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis.
Aaron Carass, Snehashis Roy, Adrian Gherman, Jacob C. Reinhold, Andrew Jesson, Tal Arbel, Oskar Maier, Heinz Handels, Mohsen Ghafoorian, Bram Platel, Ariel Birenbaum, Hayit Greenspan, Dzung L. Pham, Ciprian M. Crainiceanu, Peter A. Calabresi, Jerry L. Prince, William R. Gray Roncal, Russell T. Shinohara and Ipek Oguz
Scientific Reports
(2020-05-19)
www.nature.com
An Analysis of the Adaptation Speed of Causal Models
Rémi Le Priol, Reza Babanezhad Harikandeh, Yoshua Bengio and Simon Lacoste-Julien
arXiv: Machine Learning
(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: Cryptography and Security
(2020-05-18)
dblp.uni-trier.de
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks.
Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba
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: Computer Vision and Pattern Recognition
(2020-05-17)
dblp.uni-trier.dePDF
Universal Dependencies 2.6
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Željko Agić, Lars Ahrenberg, Chika Kennedy Ajede, Gabrielė Aleksandravičiūtė, Lene Antonsen, Katya Aplonova, Angelina Aquino, Maria Jesus Aranzabe, Gashaw Arutie, Masayuki Asahara, Luma Ateyah, Furkan Atmaca, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus... (349 more)
(venue unknown)
(2020-05-15)
hdl.handle.net
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
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
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: Artificial Intelligence
(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
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
(2020-05-07)
PDF
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 PineauAaron C. CourvilleLaurent Charlin and Yoshua Bengio
arXiv: Computers and Society
(2020-05-06)
ui.adsabs.harvard.eduPDF
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
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
arXiv: Computation and Language
(2020-05-05)
dblp.uni-trier.dePDF
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Chakravarty R. Alla Chaitanya, Nikunj Raghuvanshi, Keith Godin, Zechen Zhang, Derek Nowrouzezahrai and John Snyder
SIGGRAPH 2020
(2020-05-04)
www.microsoft.com
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
Lookahead Converges to Stationary Points of Smooth Non-convex Functions
Jianyu Wang, Vinayak Tantia, Nicolas Ballas and Michael Rabbat
ICASSP 2020
(2020-05-01)
xplorestaging.ieee.org
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)
xplorestaging.ieee.org
Remote Estimation Over a Packet-Drop Channel With Markovian State
Jhelum Chakravorty and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-05-01)
ieeexplore.ieee.orgPDF
General Principles of Gene Dosage Effects on Brain Structure
Claudia Modenato, Kuldeep Kumar, Clara Moreau, Catherine Schramm, Guillaume Huguet, Sandra Martin-Brevet, Aurélie Pain, Anne Maillard, Sonia Richetin, Borja Rodriguez-Herreros, Lester Melie-Garcia, Ana Dos Santos Silva, Marianne Van Den Bree, David Linden, Carrie E. Bearden, Danilo Bzdok, Sarah Lippé, Mallar Chakravarty, Bogdan Draganski and Sébastien Jacquemont
Biological Psychiatry
(2020-05-01)
api.elsevier.com
What Can Machine Learning Do for Psychiatry
Daniel Barron, Danilo Bzdok, John H. Krystal and R. Todd Constable
Biological Psychiatry
(2020-05-01)
api.elsevier.com
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
Data-driven optimization model customization
Mike Hewitt and Emma Frejinger
European Journal of Operational Research
(2020-05-01)
api.elsevier.com
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: Computation and Language
(2020-05-01)
dblp.uni-trier.dePDF

2020-04

SloMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas and Michael Rabbat
ICLR 2020
(2020-04-30)
dblp.uni-trier.dePDF
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
Locality and Compositionality in Zero-Shot Learning
Tristan Sylvain, Linda Petrini and Devon Hjelm
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
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 LarochelleJoelle Pineau and Laurent Charlin
Reinforced active learning for image segmentation
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh and Christopher J. Pal
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Christian Rupprecht, Cyril Ibrahim and Christopher J. Pal
Gradient-Based Neural DAG Learning
Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu and Simon Lacoste-Julien
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent and Simon Lacoste-Julien
On Bonus Based Exploration Methods In The Arcade Learning Environment
Adrien Ali Taiga, William Fedus, Marlos C. Machado, Aaron Courville and Marc G. Bellemare
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
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine and Yoshua Bengio
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Anirudh Goyal, Yoshua Bengio, Matthew Botvinick and Sergey Levine
Deep feature extraction of single-cell transcriptomes by generative adversarial network
Mojtaba Bahrami, Malosree Maitra, Corina Nagy, Gustavo Turecki, Hamid 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: Neural and Evolutionary Computing
(2020-04-29)
ui.adsabs.harvard.eduPDF
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: Computer Vision and Pattern Recognition
(2020-04-28)
128.84.21.199PDF
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)
doi.org
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 TangSarath Chandar and Yoshua Bengio
arXiv: Learning
(2020-04-26)
arxiv.orgPDF
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Mohammad Afshari and Aditya Mahajan
arxiv:eess.SY
(2020-04-24)
ui.adsabs.harvard.eduPDF
Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”
Miguel F. Anjos, Fabian Bastin, Sébastien Le Digabel and Andrea Lodi
Infor
(2020-04-24)
www.tandfonline.com
Inference for travel time on transportation networks
Mohamad Elmasri, Aurelie Labbe, Denis Larocque and Laurent Charlin
arXiv: Methodology
(2020-04-23)
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
Daniel Aloise, Luca G. Gianoli, Andrea Lodi and Leandro R. Costa
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: Computation and Language
(2020-04-21)
ui.adsabs.harvard.eduPDF
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke and Siva Reddy
arXiv: Computation and Language
(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: Learning
(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
Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc and Pascal Vincent
arXiv: Computation and Language
(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: Computers and Society
(2020-04-15)
dblp.uni-trier.dePDF
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)
royalsocietypublishing.org
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
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stephane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Fŕenoy... (33 more)
Artificial Life
(2020-04-09)
hal.inria.fr
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: Robotics
(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: Learning (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.com
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
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
Konrad Żołna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
AAAI 2020
(2020-04-03)
aaai.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
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
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
(2020-04-01)
dblp.uni-trier.de
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: Software Engineering
(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
Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem
Jaime E. González, André Augusto Ciré, Andrea Lodi and Louis-Martin Rousseau
Constraints - An International Journal
(2020-04-01)
link.springer.com
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull and Daniela Rus
ICRA 2020
(2020-04-01)
ieeexplore.ieee.org
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)
www.scilit.netPDF

2020-03

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: Computer Vision and Pattern Recognition
(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: Populations and Evolution
(2020-03-30)
dblp.uni-trier.dePDF
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox and Hugo Larochelle
arXiv: Learning
(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: Learning
(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: Learning
(2020-03-24)
dblp.uni-trier.dePDF
Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment
Anna Bonkhoff, Thomas M.H. Hope, Danilo Bzdok, Adrian Guggisberg, Rachel Hawe, Sean Dukelow, Anne Rehme, Gereon Fink, Christian Grefkes and Howard Bowman
(venue unknown)
(2020-03-23)
kar.kent.ac.uk
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: Robotics
(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, Jérôme Parent-Lévesque, David Vázquez, 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: Learning
(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: Computer Vision and Pattern Recognition
(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. Colón-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: Learning
(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
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez and Laurent Charlin
arXiv: Artificial Intelligence
(2020-03-12)
dblp.uni-trier.dePDF
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo LarochelleLiam Paull, Yuan Cao and Yoshua Bengio
arXiv: Learning
(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, Félix Legendre, Catherine Lapointe, Louis Philip Benoit Bouvrette, Ashley Chin, Mathieu Blanchette, Eunjeong Kwon and Eric Lécuyer
Cell Reports
(2020-03-10)
www.sciencedirect.com
DIBS: Diversity inducing Information Bottleneck in Model Ensembles.
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg and Florian Shkurti
arXiv: Learning
(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: Learning
(2020-03-10)
www.microsoft.comPDF
The Residence History Inference Problem.
Derek Ruths and Caitrin Armstrong
arXiv: Computers and Society
(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: Learning
(2020-03-09)
ui.adsabs.harvard.eduPDF
A Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games.
Waïss Azizian, Ioannis MitliagkasSimon Lacoste-Julien and Gauthier Gidel
arXiv: Learning
(2020-03-09)
arxiv.orgPDF
Stable Policy Optimization via Off-Policy Divergence Regularization.
Ahmed Touati, Amy Zhang, Joelle Pineau and Pascal Vincent
arXiv: Learning
(2020-03-09)
dblp.uni-trier.dePDF
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao, Xiang Jiang, Mohammad Havaei and Yoshua Bengio
arXiv: Learning
(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: Learning
(2020-03-06)
ui.adsabs.harvard.eduPDF
Not one model fits all: unfairness in RSFC-based prediction of behavioral data in African American
Jingwei Li, Danilo Bzdok, Avram Holmes, Thomas Yeo and Sarah Genon
(venue unknown)
(2020-03-05)
orbi.uliege.be
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 Texture.
Samarth Sinha, Animesh Garg and Hugo Larochelle
arXiv: Learning
(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
arXiv: Learning
(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: Learning
(2020-03-02)
dblp.uni-trier.dePDF
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: Learning
(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: Learning
(2020-03-02)
dblp.uni-trier.dePDF
Probabilistic Sequential Multi-Objective Optimization of Convolutional Neural Networks.
Zixuan Yin, Warren J. 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 LarochelleMarc 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

PAC-Bayes and Domain Adaptation
Pascal Germain, Amaury Habrard, François Laviolette and Emilie Morvant
Neurocomputing
(2020-02-28)
www.sciencedirect.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
(2020-02-28)
www.ncbi.nlm.nih.govPDF
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
On Catastrophic Interference in Atari 2600 Games
William Fedus, Dibya Ghosh, John D. Martin, Marc G. BellemareYoshua Bengio and Hugo Larochelle
arXiv: Learning
(2020-02-28)
ui.adsabs.harvard.eduPDF
Policy Evaluation Networks.
Jean Harb, Tom Schaul, Doina Precup and Pierre-Luc Bacon
arXiv: Learning
(2020-02-26)
dblp.uni-trier.dePDF
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 Luginbühl, Riccardo Cazzoli, Saumya Agrawal, Nicholas M. Luscombe... (9 more)
Nature Communications
(2020-02-24)
www.nature.com[Also on bioRxiv (2019-06-27)]
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic
Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai and Joelle Pineau
arXiv: Multiagent Systems
(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: Optimization and Control
(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 Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
arXiv: Computation and Language
(2020-02-21)
www.microsoft.com
Learning Dynamic Belief Graphs to Generalize on Text-Based Games.
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
arXiv: Computation and Language
(2020-02-21)
arxiv.orgPDF
Deep geometric knowledge distillation with graphs
Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions.
David Venuto, Jhelum Chakravorty, Léonard Boussioux, Junhao Wang, Gavin McCracken and Doina Precup
arXiv: Learning
(2020-02-20)
dblp.uni-trier.dePDF
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher and Yoshua Bengio
arXiv: Machine Learning
(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: Learning
(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: Learning
(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: Learning
(2020-02-18)
dblp.uni-trier.dePDF
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
Mostafa ElAraby, Guy Wolf and Margarida Carvalho
arXiv: Learning
(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: Learning
(2020-02-17)
dblp.uni-trier.dePDF
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: Computer Vision and Pattern Recognition
(2020-02-15)
ui.adsabs.harvard.eduPDF
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions
bioRxiv
(2020-02-12)
www.biorxiv.orgPDF
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon, Jason Jo, Andrea Lodi and Yoshua Bengio
arXiv: Learning
(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: Atmospheric and Oceanic Physics
(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: Learning
(2020-02-08)
dblp.uni-trier.dePDF
Options of Interest: Temporal Abstraction with Interest Functions
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon and Doina Precup
Input Dropout for Spatially Aligned Modalities
Sébastien de Blois, Mathieu Garon, Christian Gagné and Jean-François Lalonde
arXiv: Computer Vision and Pattern Recognition
(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 LarochelleDoina Precup and Marc G. Bellemare
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
Provably efficient reconstruction of policy networks.
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle PineauDoina Precup and Guillaume Rabusseau
arXiv: Learning
(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: Learning
(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: Computation and Language
(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, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv: Learning
(2020-02-02)
dblp.uni-trier.dePDF
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.com

2020-01

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
Coping With Simulators That Don't Always Return.
Andrew Warrington, Frank Wood and Saeid Naderiparizi
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.
Philip Amortila, Doina Precup, Prakash Panangaden and Marc G. Bellemare
Tensorized Random Projections.
Beheshteh T. Rakhshan and Guillaume Rabusseau
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: Computers and Society
(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
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 RabbatPascal 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, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni and Yoshua Bengio
arXiv: Computer Vision and Pattern Recognition
(2020-01-26)
ui.adsabs.harvard.eduPDF
Multi-Task Self-Supervised Learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, Joao Monteiro, Jan Trmal and Yoshua Bengio
Towards Graph Representation Learning in Emergent Communication
Agnieszka Słowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik and Sean B. Holden
arXiv: Learning
(2020-01-24)
dblp.uni-trier.dePDF
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)
dblp.uni-trier.de
Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-term potentiation impaired by amyloid β oligomers.
Kyerl Park, Jaedong Lee, Hyun Jae Jang, Blake A. Richards, Michael M. Kohl and Jeehyun Kwag
BMC Biology
(2020-01-15)
bmcbiol.biomedcentral.comPDF
Ultrasensitive Assay of Alkaline Phosphatase Based on the Fluorescent Response Difference of the Metal-Organic Framework Sensor.
Xi-Yuan Yao, Qian Wang, Qiao Liu, Meili Pang, Xiao-Meng Du, Bo Zhao, Yue Li and Wen-Juan Ruan
ACS omega
(2020-01-14)
pubs.acs.orgPDF
HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution
Christopher Jf Cameron, Josée Dostie and Mathieu Blanchette
Genome Biology
(2020-01-14)
genomebiology.biomedcentral.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: Learning
(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)
pubs.acs.org
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
Accelerating Smooth Games by Manipulating Spectral Shapes.
Waïss Azizian, Damien Scieur, Ioannis MitliagkasSimon Lacoste-Julien and Gauthier Gidel
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)
dblp.uni-trier.de
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
Medical Image Analysis
(2020-01-01)
www.sciencedirect.com
Efficient and Effective Dimension Control in Automotive Applications
Ye Ma, Gang Chen, Mingsong Lv, Wang Yi, Xue Liu, Hao Chen and Bo Zhu
IEEE Transactions on Industrial Informatics
(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)
dblp.uni-trier.de
Bulk Savings for Bulk Transfers: Minimizing the Energy-Cost for Geo-Distributed Data Centers
Xingjian Lu, Fanxin Kong, Xue Liu, Jianwei Yin, Qiao Xiang and Huiqun Yu
IEEE Transactions on Cloud Computing
(2020-01-01)
ieeexplore.ieee.org
Mycorrhiza: Genotype Assignment using Phylogenetic Networks.
Jeremy Georges-Filteau, Richard C Hamelin and Mathieu Blanchette
Bioinformatics
(2020-01-01)
academic.oup.com
An ILP Solver for Multi-label MRFs with Connectivity Constraints
Ruobing Shen, Eric Kendinibilir, Ismail Ben Ayed, Andrea Lodi, Andrea Tramontani and Gerhard Reinelt
IEEE Transactions on Image Processing
(2020-01-01)
ui.adsabs.harvard.eduPDF
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)
link.springer.com
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT.
Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton and Jimmy Lin
ACL 2020
(2020-01-01)
dblp.uni-trier.de
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.de
Gifting in Multi-Agent Reinforcement Learning.
Andrei Lupu and Doina Precup
Autonomous Agents and Multi-Agent Systems
(2020-01-01)
dblp.uni-trier.de
Gifting in Multi-Agent Reinforcement Learning (Student Abstract).
Andrei Lupu and Doina Precup
AAAI 2020
(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)
dblp.uni-trier.de
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract).
Qizhen Zhang, Audrey Durand and Joelle Pineau
AAAI 2020
(2020-01-01)
dblp.uni-trier.de
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
GAIT: A Geometric Approach to Information Theory.
Jose Gallego-Posada, Ankit Vani, Max Schwarzer and Simon Lacoste-Julien
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
Waïss Azizian, Ioannis MitliagkasSimon Lacoste-Julien and Gauthier Gidel
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
Toward Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
Neural Computation
(2020-01-01)
ui.adsabs.harvard.eduPDF
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
(2020-01-01)
openaccess.thecvf.comPDF
Compositional Generalization by Factorizing Alignment and Translation.
Jacob Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
ACL 2020
(2020-01-01)
dblp.uni-trier.de

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: Computers and Society
(2019-12-29)
dblp.uni-trier.dePDF
On the Morality of Artificial Intelligence.
Alexandra Luccioni and Yoshua Bengio
arXiv: Computers and Society
(2019-12-26)
dblp.uni-trier.dePDF
A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs.
Yoshua BengioEmma FrejingerAndrea Lodi, Rahul Patel and Sriram Sankaranarayanan
arXiv: Optimization and Control
(2019-12-17)
dblp.uni-trier.dePDF
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
ByungIn Yoo, Tristan Sylvain, Yoshua Bengio and Junmo Kim
arXiv: Computer Vision and Pattern Recognition
(2019-12-15)
ui.adsabs.harvard.eduPDF
CLOSURE: Assessing Systematic Generalization of CLEVR Models.
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio and Aaron C. Courville
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
arXiv: Computer Vision and Pattern Recognition
(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: Learning
(2019-12-11)
dblp.uni-trier.dePDF
Marginalized State Distribution Entropy Regularization in Policy Optimization
Riashat Islam, Zafarali Ahmed and Doina Precup
arXiv: Learning
(2019-12-11)
dblp.uni-trier.dePDF
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods
Riashat Islam, Raihan Seraj, Pierre-Luc Bacon and Doina Precup
arXiv: Learning
(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
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
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
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
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
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
Neural Multisensory Scene Inference
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal and Sungjin Ahn
Real-Time Reinforcement Learning
Simon Ramstedt and Chris Pal
Reducing the variance in online optimization by transporting past gradients
Sébastien Arnold, Pierre-Antoine Manzagol, Reza Harikandeh, Ioannis Mitliagkas and Nicolas Le Roux
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
Gauthier Gidel, Francis Bach and Simon Lacoste-Julien
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
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
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Alex Lamb, vikas verma, Farnoosh Ghadiri, R Devon HjelmYoshua Bengio and Chris Pal
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
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit, Víctor Campos and Yoshua Bengio
Variational Temporal Abstraction
Taesup Kim, Sungjin Ahn and Yoshua Bengio
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
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté and R Devon Hjelm
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
Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud and Yoshua Bengio
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine and Pierre Sermanet
Disjunctive cuts for Mixed-Integer Conic Optimization.
Andrea Lodi, Mathieu Tanneau and Juan Pablo Vielma
arXiv: Optimization and Control
(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
arXiv: Learning
(2019-12-04)
dblp.uni-trier.dePDF
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
arXiv: Learning
(2019-12-03)
arxiv.orgPDF
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: Image and Video Processing
(2019-12-02)
dblp.uni-trier.dePDF
Expressiveness and Learning of Hidden Quantum Markov Models.
Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon and Byron Boots
Applying Knowledge Transfer for Water Body Segmentation in Peru.
Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran and Yoshua Bengio
arXiv: Image and Video Processing
(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 März, Oskar Maier... (18 more)
Nature Communications
(2019-12-01)
research.tue.nl
Finding Archetypal Spaces Using Neural Networks
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf and Smita Krishnaswamy
BIG DATA 2019
(2019-12-01)
dblp.uni-trier.de
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
Automated curriculum generation for Policy Gradients from Demonstrations.
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert and Yoshua Bengio
arXiv: Learning
(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
Deconstructing and reconstructing word embedding algorithms
Edward Newell, Kian Kenyon-Dean and Jackie Chi Kit Cheung
arXiv: Computation and Language
(2019-11-29)
ui.adsabs.harvard.eduPDF
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[LATEST on arXiv: Artificial Intelligence (2019-11-28)]
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift.
Azadeh Sadat Mozafari, Hugo Siqueira Gomes and Christian Gagné
arXiv: Learning
(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: Human-Computer Interaction
(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: Learning
(2019-11-21)
dblp.uni-trier.dePDF
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui, Fan Zhou, Christian Gagné and Boyu Wang
arXiv: Learning
(2019-11-20)
arxiv.org
Game theoretical analysis of Kidney Exchange Programs.
Margarida Carvalho and Andrea Lodi
arXiv: Computer Science and Game Theory
(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: Learning
(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: Computer Vision and Pattern Recognition
(2019-11-18)
dblp.uni-trier.dePDF
Etalumis: bringing probabilistic programming to scientific simulators at scale
Atilim Güneş Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat and Frank Wood
Inductive Relation Prediction on Knowledge Graphs.
Komal K. Teru and William L. Hamilton
arXiv: Learning
(2019-11-16)
dblp.uni-trier.dePDF
Universal Dependencies 2.5
Daniel Zeman, Joakim Nivre, Mitchell Abrams, Noëmi Aepli, Željko Agić, Lars Ahrenberg, Gabrielė Aleksandravičiūtė, Lene Antonsen, Katya Aplonova, Maria Jesus Aranzabe, Gashaw Arutie, Masayuki Asahara, Luma Ateyah, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus, Elena Badmaeva, Miguel Ballesteros, Esha Banerjee, Sebastian Bank... (324 more)
(venue unknown)
(2019-11-15)
hdl.handle.net
SST'19 - Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019
Jan-Philipp Steghöfer, Nan Niu, Jin L. C. Guo and Anas Mahmoud
ACM Sigsoft Software Engineering Notes
(2019-11-14)
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 Lécuyer
Nucleic Acids Research
(2019-11-14)
academic.oup.com
Nonlinear chance-constrained problems with applications to hydro scheduling
Andrea Lodi, Enrico Malaguti, Giacomo Nannicini and Dimitri Thomopulos
Mathematical Programming
(2019-11-14)
link.springer.com
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms.
Michael Perlmutter, Feng Gao, Guy Wolf and Matthew J. Hirn
arXiv: Machine Learning
(2019-11-14)
dblp.uni-trier.dePDF
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, Byron Boots and Geoffrey J. Gordon
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Ian Porada, Kaheer Suleman and Jackie Chi Kit Cheung
arXiv: Computation and Language
(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: Computation and Language
(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
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.
Qinglong Wang, Kaixuan Zhang, Xue Liu and C. Lee Giles
arXiv: Learning
(2019-11-12)
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)
doi.org[Also on arXiv: Machine Learning (2019-06-16)]
Preventing Posterior Collapse in Sequence VAEs with Pooling
Teng Long, Yanshuai Cao and Jackie Chi Kit Cheung
arXiv: Learning
(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: Learning
(2019-11-09)
ui.adsabs.harvard.eduPDF
Integral formulations of volumetric transmittance
Iliyan Georgiev, Zackary Misso, Toshiya Hachisuka, Derek Nowrouzezahrai, Jaroslav Křivánek and Wojciech Jarosz
ACM Transactions on Graphics
(2019-11-08)
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)
dblp.uni-trier.de
Study of Constrained Network Structures for WGANs on Numeric Data Generation.
Wei Wang, Chuang Wang, Tao Cui and Yue Li
arXiv: Learning
(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: Learning
(2019-11-04)
dblp.uni-trier.dePDF
Referring Expression Generation Using Entity Profiles
Meng Cao and Jackie Chi Kit Cheung
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, João 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, João Monteiro, Mohammad Darvishi, Tiago H. Falk and Ioannis Mitliagkas
arXiv: Learning
(2019-11-03)
ui.adsabs.harvard.edu
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris PalYoshua 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
Deep Generative Modeling of LiDAR Data
Lucas Caccia, Herke van Hoof, Aaron Courville and Joelle Pineau

2019-10

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
(2019-10-30)
onlinelibrary.wiley.com
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 NowrouzezahraiDoina Precup, Florian Golemo and Chris Pal
Attention for Inference Compilation.
William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm and Frank Wood
arXiv: Learning
(2019-10-25)
dblp.uni-trier.dePDF
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.
Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip and Frank Wood
arXiv: Learning
(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: Machine Learning
(2019-10-23)
ui.adsabs.harvard.eduPDF
gradSLAM: Dense SLAM meets Automatic Differentiation.
Krishna Murthy Jatavallabhula, Ganesh Iyer and Liam Paull
arXiv: Robotics
(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. CourvilleYoshua Bengio and Joseph Paul Cohen
arXiv: Quantitative Methods
(2019-10-21)
dblp.uni-trier.dePDF
Amortized Rejection Sampling in Universal Probabilistic Programming.
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh and Frank Wood
arXiv: Learning
(2019-10-20)
dblp.uni-trier.dePDF
Predicting ice flow using machine learning.
Yimeng Min, S. Karthik Mukkavilli and Yoshua Bengio
arXiv: Learning
(2019-10-20)
dblp.uni-trier.dePDF
Deep Parametric Indoor Lighting Estimation
Marc-Andre Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagne and Jean-Francois Lalonde
Toward Metrics for Differentiating Out-of-Distribution Sets.
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné and Rakesh Bobba
arXiv: Learning
(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: Learning
(2019-10-18)
dblp.uni-trier.dePDF
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)
link.springer.com
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
Raghav Mehta, Thomas Christinck, Tanya Nair, Paul Lemaître, Douglas L. Arnold and Tal Arbel
UNSURE/CLIP@MICCAI
(2019-10-17)
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
Andrea Lodi, Mathieu Tanneau and Defeng Liu
SGP: Spotting Groups Polluting the Online Political Discourse.
Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha and Reihaneh Rabbany
arXiv: Social and Information Networks
(2019-10-16)
dblp.uni-trier.dePDF
Visual short‐term memory activation patterns in adult survivors of childhood acute lymphoblastic leukemia
Aubree Boulet‐Craig, Philippe Robaey, Fanny Barlaam, Julie Laniel, Victor Oswald, Karim Jerbi, Serge Sultan, Laurence Affret‐Bertout, Simon Drouin, Maja Krajinovic, Caroline Laverdière, Daniel Sinnett, Pierre Jolicoeur and Sarah Lippé
Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
Alexia Jolicoeur-Martineau and Ioannis Mitliagkas
arXiv: Learning
(2019-10-15)
dblp.uni-trier.dePDF
Deep learning for Aerosol Forecasting
Caleb Hoyne, S. Karthik Mukkavilli and David Meger
arXiv: Learning
(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: Learning
(2019-10-14)
ui.adsabs.harvard.eduPDF
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases
Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold and Tal Arbel
DART/MIL3ID@MICCAI
(2019-10-13)
doi.org
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
Visualizing High Dimensional Dynamical Processes
Andres F. Duque, Guy Wolf and Kevin R. Moon
MLSP 2019
(2019-10-12)
sigport.orgPDF
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
Sharan Vaswani, Abbas Mehrabian, Audrey Durand and Branislav Kveton
arXiv: Learning
(2019-10-11)
arxiv.orgPDF
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain and Benjamin Guedj
arXiv: Learning
(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 Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider and Bennett Landman
arXiv: Computer Vision and Pattern Recognition
(2019-10-09)
ui.adsabs.harvard.eduPDF
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions.
Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau and Sebastian Riedel
arXiv: Learning
(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: Learning
(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
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: Learning
(2019-10-01)
export.arxiv.orgPDF
Metal-organic frameworks based fluorescent sensor array for discrimination of flavonoids.
Qiao Liu, Jie Gao, Zhe Zheng, Di Ning, Qian Wang, Xiao-Meng Du, Bo Zhao, Wen-Juan Ruan and Yue Li
Talanta
(2019-10-01)
www.sciencedirect.com
Decoding the neural dynamics of oculomotor decision making in humans
Thomas Thiery, Anne-Lise Saive, Etienne Combrisson, Arthur Dehgan, Julien Bastin, Philippe Kahane, Alain Berthoz, Jean-Philippe Lachaux and Karim Jerbi
bioRxiv
(2019-10-01)
www.biorxiv.orgPDF
Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines
Jakub M. Tomczak, Szymon Zaręba, Siamak Ravanbakhsh and Russell Greiner
Neural Processing Letters
(2019-10-01)
link.springer.comPDF
Augmenting learning using symmetry in a biologically-inspired domain.
Shruti Mishra, Abbas Abdolmaleki, Arthur Guez, Piotr Trochim and Doina Precup
arXiv: Learning
(2019-10-01)
dblp.uni-trier.dePDF
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

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
Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift
Azadeh Sadat Mozafari, Hugo Siqueira Gomes and Christian Gagne
(venue unknown)
(2019-09-25)
openreview.net
Connectivity-constrained interactive annotations for panoptic segmentation
Ruobing Shen, Bo Tang, Ismail Ben Ayed, Andrea Lodi and Thomas Guthier
(venue unknown)
(2019-09-25)
openreview.netPDF
Beyond GANs: Transforming without a Target Distribution
Matthew Amodio, David van Dijk, Ruth Montgomery, Guy Wolf and Smita Krishnaswamy
(venue unknown)
(2019-09-25)
openreview.netPDF
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li and Daniel Tarlow
arXiv: Machine Learning
(2019-09-25)
dblp.uni-trier.dePDF
Adversarial Privacy Preservation under Attribute Inference Attack
Han Zhao, Jianfeng Chi, Yuan Tian and Geoffrey J. Gordon
arXiv: Learning
(2019-09-25)
ui.adsabs.harvard.eduPDF
Equivariant Entity-Relationship Networks
Devon Graham and Siamak Ravanbakhsh
arXiv: Learning
(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: Learning
(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: Learning
(2019-09-25)
dblp.uni-trier.dePDF
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
Assessing Generalization in TD methods for Deep Reinforcement Learning
Emmanuel Bengio, Doina Precup and Joelle Pineau
(venue unknown)
(2019-09-25)
openreview.netPDF
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
Thang Doan, Bogdan Mazoure, Audrey DurandJoelle 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: Learning
(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: Learning
(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
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai and Christopher J. Pal
arXiv: Learning
(2019-09-25)
ui.adsabs.harvard.eduPDF
Towards Understanding Generalization in Gradient-Based Meta-Learning
Simon Guiroy, Vikas Verma and Christopher J. Pal
arXiv: Learning
(2019-09-25)
dblp.uni-trier.dePDF
CLAREL: classification via retrieval loss for zero-shot learning
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro and Christopher Pal
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
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: Neural and Evolutionary Computing
(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: Machine Learning
(2019-09-25)
ui.adsabs.harvard.eduPDF
Underwhelming Generalization Improvements From Controlling Feature Attribution
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
arXiv: Computer Vision and Pattern Recognition
(2019-09-25)
dblp.uni-trier.dePDF
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: Learning
(2019-09-25)
dblp.uni-trier.dePDF
Recurrent Independent Mechanisms.
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio and Bernhard Schölkopf
arXiv: Learning
(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: Learning
(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: Learning
(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: Robotics
(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.gov
Revisit Policy Optimization in Matrix Form.
Sitao Luan, Xiao-Wen Chang and Doina Precup
arXiv: Learning
(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: Learning
(2019-09-19)
ui.adsabs.harvard.eduPDF
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Anil Goyal, Emilie Morvant, Pascal Germain and Massih-Reza Amini
Neurocomputing
(2019-09-17)
www.sciencedirect.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: Learning
(2019-09-15)
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
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: Learning
(2019-09-14)
dblp.uni-trier.dePDF
Torchmeta: A Meta-Learning library for PyTorch
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen and Yoshua Bengio
arXiv: Learning
(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: Neurons and Cognition
(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.net
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.netPDF
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)
dx.doi.org
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian, Raymond Li, Jonathan Pilault and Christopher J. Pal
arXiv: Computation and Language
(2019-09-07)
dblp.uni-trier.dePDF
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
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)
doi.org
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

Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp and Teresa Bernarda Ludermir
arXiv: Learning
(2019-08-15)
dblp.uni-trier.dePDF
Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp and Teresa Ludermir
(venue unknown)
(2019-08-15)
export.arxiv.orgPDF
Online Continual Learning with Maximally Interfered Retrieval.
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin and Tinne Tuytelaars
arXiv: Learning
(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
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville and Marc G. Bellemare
arXiv: Learning
(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.comPDF
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
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)
doi.org
Interpolation Consistency Training for Semi-supervised Learning
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio and David Lopez-Paz

2019-07

On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault, Jaehong Park and Christopher Pal
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal VincentChris Pal and Doina Precup
arXiv: Computer Vision and Pattern Recognition
(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
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
ACL 2019
(2019-07-28)
www.acl2019.orgPDF
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
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh and Jackie Chi Kit Cheung
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Chris PalSarath 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: Cryptography and Security
(2019-07-20)
dblp.uni-trier.dePDF
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
Learning Options with Interest Functions
Khimya Khetarpal and Doina Precup
AAAI 2019
(2019-07-17)
www.aaai.org
Noisy Interactive Quantum Communication
Gilles Brassard, Ashwin Nayak, Alain Tapp, Dave Touchette and Falk Unger
SIAM Journal on Computing
(2019-07-16)
doi.org
Prediction of mRNA subcellular localization using deep recurrent neural networks.
Zichao Yan, Eric Lécuyer and Mathieu Blanchette
Bioinformatics
(2019-07-15)
academic.oup.com
Large-scale mammalian genome rearrangements coincide with chromatin interactions.
Krister M Swenson and Mathieu Blanchette
Bioinformatics
(2019-07-15)
academic.oup.com
Augmented base pairing networks encode RNA-small molecule binding preferences
Oliver C, Mallet, Sarrazin Gendron R, Reinharz, Hamilton Wl, Moitessier N and Waldispühl J
bioRxiv
(2019-07-14)
europepmc.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: Optimization and Control
(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: Information Retrieval
(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
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
Meng Qu, Jian Tang and Yoshua Bengio
arXiv: Learning
(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: Learning
(2019-07-05)
dblp.uni-trier.dePDF
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
Smoother: A Smooth Renewable Power-Aware Middleware
Xinxin Liu, Yu Hua, Xue Liu, Ling Yang and Yuanyuan Sun
ICDCS 2019
(2019-07-01)
dblp.uni-trier.de

2019-06

Amortized Monte Carlo Integration
Adam Golinski, Frank Wood and Tom Rainforth
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah and Christopher J. Pal
arXiv: Learning
(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: Learning
(2019-06-25)
dblp.uni-trier.dePDF
Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar and Aaron C. Courville
arXiv: Learning
(2019-06-24)
ui.adsabs.harvard.eduPDF
Investigating Biases in Textual Entailment Datasets.
Shawn Tan, Yikang Shen, Chin-Wei Huang and Aaron C. Courville
arXiv: Computation and Language
(2019-06-23)
dblp.uni-trier.dePDF
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: Information Retrieval
(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: Learning
(2019-06-19)
ui.adsabs.harvard.eduPDF
Inherent Tradeoffs in Learning Fair Representations
Han Zhao and Geoffrey J. Gordon
arXiv: Learning
(2019-06-19)
arxiv.org
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
GEAR: Geometry-Aware Rényi Information.
Jose Gallego-Posada, Ankit Vani, Max Schwarzer and Simon Lacoste-Julien
arXiv: Learning
(2019-06-19)
dblp.uni-trier.dePDF
Information matrices and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio and Nicolas Le Roux
arXiv: Learning
(2019-06-18)
research.googlePDF
Heterogeneous Robot Teams for Informative Sampling.
Travis Manderson, Sandeep Manjanna and Gregory Dudek
arXiv: Robotics
(2019-06-17)
dblp.uni-trier.dePDF
Lower Bounds and Conditioning of Differentiable Games.
Adam Ibrahim, Waïss Azizian, Gauthier Gidel and Ioannis Mitliagkas
arXiv: Learning
(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: Social and Information Networks
(2019-06-16)
dblp.uni-trier.dePDF
Conditional Computation for Continual Learning
Min Lin, Jie Fu and Yoshua Bengio
arXiv: Learning
(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 Křivánek
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: Learning
(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: Learning
(2019-06-13)
dblp.uni-trier.dePDF
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.
Waïss Azizian, Ioannis MitliagkasSimon Lacoste-Julien and Gauthier Gidel
arXiv: Learning
(2019-06-13)
dblp.uni-trier.de
Learning Powerful Policies by Using Consistent Dynamics Model.
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine and Jian Tang
arXiv: Learning
(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: Computers and Society
(2019-06-10)
ui.adsabs.harvard.eduPDF
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas and Michael Rabbat
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward Smith, Adriana Romero, Scott Fujimoto and David Meger
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger and Doina Precup
Fairwashing: the risk of rationalization
Ulrich Aivodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara and Alain Tapp
The Value Function Polytope in Reinforcement Learning
Robert Dadashi, Marc Bellemare, Adrien Ali Taiga, Nicolas Le Roux and Dale Schuurmans
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, César 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: Learning
(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 MitliagkasYoshua Bengio and Michael Mozer
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio and Jian Tang
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz and Yoshua Bengio
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio and Aaron Courville
Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems
Pierre Coste, Andrea Lodi and Gilles Pesant
CPAIOR 2019
(2019-06-04)
doi.org
Learning MILP Resolution Outcomes Before Reaching Time-Limit
Martina Fischetti, Andrea Lodi and Giulia Zarpellon
CPAIOR 2019
(2019-06-04)
doi.org
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
arXiv: Learning
(2019-06-02)
arxiv.org
Learning Domain Randomization Distributions for Transfer of Locomotion Policies.
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
arXiv: Learning
(2019-06-02)
dblp.uni-trier.dePDF
Dimensionality compression and expansion in Deep Neural Networks
Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie and Eric Shea-Brown
arXiv: Learning
(2019-06-02)
ui.adsabs.harvard.eduPDF
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[Also on arXiv: Learning (2019-05-01)]
Structural Robustness for Deep Learning Architectures
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
arXiv: Learning
(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
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
(2019-06-01)
dblp.uni-trier.de
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

DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum and Marc G. Bellemare
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
arXiv: Computation and Language
(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
Borja Balle, Prakash Panangaden and Doina Precup
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 J. Pal
arXiv: Learning
(2019-05-27)
dblp.uni-trier.dePDF
Attention Based Pruning for Shift Networks
Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux and Yoshua Bengio
arXiv: Neural and Evolutionary Computing
(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 with Latent Variable Perturbation Modelling
Avishek Joey Bose, Andre Cianflone and William L. Hamilton
arXiv: Learning
(2019-05-26)
arxiv.orgPDF
Generalizable Adversarial Attacks Using Generative Models.
Avishek Joey Bose, Andre Cianflone and William L. Hamilton
arXiv: Learning
(2019-05-26)
dblp.uni-trier.de
Analysis and detection of information types of open source software issue discussions
Deeksha Arya, Wenting Wang, Jin L. C. Guo and Jinghui Cheng
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose and William L. Hamilton
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
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas L. Arnold and Tal Arbel
International Conference on Medical Imaging with Deep Learning
(2019-05-24)
proceedings.mlr.pressPDF
Recurrent Value Functions.
Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup and Joelle Pineau
arXiv: Learning
(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: Learning
(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
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.ccPDF
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
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
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen, Shawn Tan, Alessandro Sordoni 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
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 Linarès, Chiheb Trabelsi, Renato De Mori and Yoshua Bengio
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio and Christopher Pal
ICLR 2019
(2019-05-06)
iclr.ccPDF
AI for Social Good
Margaux Luck, Joseph Paul Cohen, Myriam Cote, Kris Sankaran, Sean McGregor, Virgile Sylvain, Jonnie Penn, Tristan Sylvain, Geneviève Boucher, Rayid Ghani, Yoshua Bengio and Kentaro Toyama
ICLR 2019
(2019-05-06)
iclr.cc
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
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
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
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
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
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 Liò, 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 RabusseauJoelle Pineau, Damien Ernst and Raphael Fonteneau
Journal of Artificial Intelligence Research
(2019-05-05)
doi.orgPDF
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: Computer Vision and Pattern Recognition
(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
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
(2019-05-01)
dblp.uni-trier.de
Semantic Mapping for View-Invariant Relocalization
Jimmy Li, David Meger and Gregory Dudek
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
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.
Gauthier Gidel, Francis Bach and Simon Lacoste-Julien
arXiv: Learning
(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: Learning
(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)
dx.doi.org
Compositional generalization in a deep seq2seq model by separating syntax and semantics.
Jake Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
arXiv: Learning
(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: Computer Vision and Pattern Recognition (2019-04-16)]
Spatio-Temporal Deep Graph Infomax.
Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò and R. Devon Hjelm
arXiv: Learning
(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
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
Guillaume Rabusseau, Tianyu Li and Doina Precup
AISTATS 2019
(2019-04-11)
proceedings.mlr.pressPDF
Negative Momentum for Improved Game Dynamics
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Rémi Le Priol, Simon Lacoste-Julien and Ioannis Mitliagkas
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: Learning
(2019-04-06)
ui.adsabs.harvard.eduPDF
Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks.
Santiago Pascual, Mirco Ravanelli, Joan Serrà, Antonio Bonafonte and Yoshua Bengio
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: Learning
(2019-03-29)
ui.adsabs.harvard.eduPDF
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)
doi.org
Towards Standardization of Data Licenses: The Montreal Data License.
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris PalYoshua Bengio and Alex Shee
arXiv: Computers and Society
(2019-03-21)
dblp.uni-trier.dePDF
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
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: Learning
(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 Régnier, Lisa Di Jorio, Christopher J. Pal, Réal Lapointe, Franck Vandenbroucke-Menu, Simon Turcotte, Samuel Kadoury and An Tang
Radiology: Artificial Intelligence
(2019-03-13)
pubs.rsna.org
Imitation Learning of Factored Multi-agent Reactive Models.
Michael Teng, Tuan Anh Le, Adam Scibior and Frank Wood
arXiv: Learning
(2019-03-12)
dblp.uni-trier.dePDF
Adversarial Mixup Resynthesizers
Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm and Christopher J. Pal
Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism
Junqin Huang, Linghe Kong, Guihai Chen, Min-You Wu, Xue Liu and Peng Zeng
IEEE Transactions on Industrial Informatics
(2019-03-06)
doi.org
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: Machine Learning
(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

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: Learning
(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 BengioMarc G. Bellemare and Hugo Larochelle
arXiv: Machine Learning
(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: Learning
(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
Separating value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati, Emma Brunskill, Joelle Pineau and Yann Ollivier
arXiv: Learning
(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)
ieeexplore.ieee.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

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning.
Tianyu Li, Bogdan Mazoure, Doina Precup and Guillaume Rabusseau
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation.
Si Yi Meng, Sharan Vaswani, Issam Hadj Laradji, Mark Schmidt and Simon Lacoste-Julien
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow.
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh and Frank Wood
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering.
Catalina Cangea, Eugene Belilovsky, Pietro Liò and Aaron C. Courville
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[LATEST on bioRxiv (2019-06-11)]
Stochastic Neural Network with Kronecker Flow.
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste and Aaron C. Courville
Leveraging exploration in off-policy algorithms via normalizing flows.
Bogdan Mazoure, Thang Doan, Audrey DurandR. Devon Hjelm and Joelle Pineau
A tutorial on recursive models for analyzing and predicting path choice behavior.
Maëlle Zimmermann and Emma Frejinger
EURO Journal on Transportation and Logistics
(2019-01-01)
www.sciencedirect.com[LATEST on arXiv: Machine Learning (2019-05-02)]
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
Hossein Aboutalebi, Doina Precup and Tibor Schuster
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: Human-Computer Interaction
(2019-01-31)
dblp.uni-trier.dePDF
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: Artificial Intelligence
(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 März, 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
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Clare Mb Lyle, Pablo Samuel Castro and Marc G. Bellemare
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
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
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
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 DurandJoelle 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 BengioDoina Precup and Joelle Pineau
Maximum Entropy Generators for Energy-Based Models.
Rithesh Kumar, Anirudh Goyal, Aaron C. Courville and Yoshua Bengio
arXiv: Learning
(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)
dblp.uni-trier.de
Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior
Milad Ashouri, Fariborz Haghighat, Benjamin C.M. Fung and Hiroshi Yoshino
Energy and Buildings
(2019-01-15)
www.sciencedirect.com
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkovà, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal... (39 more)
arXiv: Computer Vision and Pattern Recognition
(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: Computation and Language
(2019-01-12)
dblp.uni-trier.dePDF
The Benefits of Over-parameterization at Initialization in Deep ReLU Networks
Devansh Arpit and Yoshua Bengio
arXiv: Machine Learning
(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)
doi.org
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
Graph-Based Compression for Distributed Particle Filters
Jun Ye Yu, Mark J. Coates and Michael G. Rabbat
SIPN 2019
(2019-01-01)
doi.org
Uncertainty Principle on Graphs
Bastien Pasdeloup, Vincent Gripon, Réda Alami and Michael G. Rabbat
(venue unknown)
(2019-01-01)
link.springer.com
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)
dblp.uni-trier.de
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)
ieeexplore.ieee.org
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links.
Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang and Patrick Mäder
SE/SWM
(2019-01-01)
doi.org
Bioinformatics Approaches to Gain Insights into cis-Regulatory Motifs Involved in mRNA Localization.
Louis Philip Benoit Bouvrette, Mathieu Blanchette and Eric Lécuyer
Advances in Experimental Medicine and Biology
(2019-01-01)
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 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
Seeded self-play for language learning
Abhinav Gupta, Ryan Lowe, Jakob Foerster, Douwe Kiela and Joelle Pineau
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
(2019-01-01)
dx.doi.org
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
InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo LarochelleYoshua 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: Learning
(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
Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin and Chris Pal
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume RabusseauJackie Chi Kit Cheung and Doina Precup
arXiv: Learning
(2018-12-18)
ui.adsabs.harvard.eduPDF
Prediction of Progression in Multiple Sclerosis Patients
Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas Arnold and Tal Arbel
International Conference on Medical Imaging with Deep Learning -- Full Paper Track
(2018-12-13)
openreview.netPDF
Speech and Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli and Yoshua Bengio
arXiv: Audio and Speech Processing
(2018-12-13)
ui.adsabs.harvard.eduPDF
Effectiveness of Alter Sampling in Social Networks.
Naghmeh Momeni and Michael G. Rabbat
arXiv: Social and Information Networks
(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 März, 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: Learning
(2018-12-05)
ui.adsabs.harvard.eduPDF
Recurrent transition networks for character locomotion
Félix G. Harvey and Christopher Pal
Automatic differentiation in ML: Where we are and where we should be going
Bart van Merrienboer, Olivier BreuleuxArnaud Bergeron and Pascal Lamblin
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
Pierre Thodoroff, Audrey DurandJoelle Pineau and Doina Precup
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
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, César 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
Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio and Sungjin Ahn
MetaGAN: An Adversarial Approach to Few-Shot Learning
Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio and Yangqiu Song
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio and Walter Senn
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: Computer Vision and Pattern Recognition
(2018-11-28)
arxiv.orgPDF
Multi-task Learning over Graph Structures.
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu and Jackie Chi Kit Cheung
arXiv: Computation and Language
(2018-11-26)
dblp.uni-trier.dePDF
Environments for Lifelong Reinforcement Learning.
Khimya Khetarpal, Shagun Sodhani, Sarath Chandar and Doina Precup
arXiv: Artificial Intelligence
(2018-11-26)
dblp.uni-trier.dePDF
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: Robotics
(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: Learning
(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: Audio and Speech Processing
(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
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 RabbatPascal Vincent, Nafissa Yakubova... (7 more)
arXiv: Computer Vision and Pattern Recognition
(2018-11-21)
ui.adsabs.harvard.eduPDF
Harmonic Recomposition using Conditional Autoregressive Modeling.
Kyle Kastner, Rithesh Kumar, Tim Cooijmans and Aaron C. Courville
arXiv: Sound
(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: Artificial Intelligence
(2018-11-16)
dblp.uni-trier.dePDF
On Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
arXiv: Learning
(2018-11-16)
arxiv.orgPDF
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon.
Yoshua BengioAndrea Lodi and Antoine Prouvost
arXiv: Learning
(2018-11-15)
dblp.uni-trier.dePDF
An Introduction to Probabilistic Programming.
J-W van de Meent, B Paige, H Yang and F Wood
arXiv: Machine Learning
(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: Learning
(2018-11-14)
dblp.uni-trier.dePDF
Natural Environment Benchmarks for Reinforcement Learning.
Amy Zhang, Yuxin Wu and Joelle Pineau
arXiv: Learning
(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: Computer Vision and Pattern Recognition
(2018-11-12)
ui.adsabs.harvard.eduPDF
Compositional Language Understanding with Text-based Relational Reasoning.
Koustuv Sinha, Shagun Sodhani, William L. Hamilton and Joelle Pineau
arXiv: Computation and Language
(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: Computation and Language
(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: Computer Vision and Pattern Recognition
(2018-11-05)
ui.adsabs.harvard.eduPDF
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)
doi.org
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.
Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman and Fernando Diaz
arXiv: Learning
(2018-11-05)
www.microsoft.comPDF
Adversarial Gain
Peter Henderson, Koustuv Sinha, Rosemary Nan Ke and Joelle Pineau
arXiv: Learning
(2018-11-04)
arxiv.orgPDF
The Hard-CoRe 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
arXiv: Computation and Language
(2018-11-02)
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
Pierre Thodoroff, Audrey DurandJoelle Pineau and Doina Precup
arXiv: Learning
(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
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 Taïga, 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: Machine Learning
(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
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods.
Peter Henderson, Joshua Romoff and Joelle Pineau
arXiv: Learning
(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
Computing Nash equilibria for integer programming games
Andrea Lodi, Margarida Carvalho and João Pedro Pedroso
Les Cahiers du GERAD
(2018-10-01)
www.gerad.ca
Recurrent semi-supervised classification and constrained adversarial generation with motion capture data
Félix G. Harvey, Julien Roy, David Kanaa and Christopher Joseph Pal
Image and Vision Computing
(2018-10-01)
www.sciencedirect.com

2018-09

BNN+: Improved Binary Network Training
Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux and Vahid Partovi Nia
arXiv: Learning
(2018-09-27)
dblp.uni-trier.dePDF
Revisiting Reweighted Wake-Sleep
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh and Frank Wood
arXiv: Machine Learning
(2018-09-27)
dblp.uni-trier.dePDF
Where Off-Policy Deep Reinforcement Learning Fails
Scott Fujimoto, David Meger 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: Learning
(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: Learning
(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: Learning
(2018-09-27)
ui.adsabs.harvard.eduPDF
EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models
Rithesh Kumar, Anirudh Goyal, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
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
Reinforced Imitation Learning from Observations
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn and Pedro O. Pinheiro
(venue unknown)
(2018-09-27)
openreview.netPDF
Towards the Latent Transcriptome
Assya Trofimov, Francis Dutil, Claude Perreault, Sebastien Lemieux, Yoshua Bengio and Joseph Paul Cohen
arXiv: Genomics
(2018-09-27)
dblp.uni-trier.dePDF
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: Learning
(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: Learning
(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: Machine Learning
(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 CourvilleIoannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
How can deep learning advance computational modeling of sensory information processing
Jessica A. F. Thompson, Yoshua Bengio, Elia Formisano and Marc Schönwiesner
arXiv: Neural and Evolutionary Computing
(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: Learning
(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
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)
doi.orgPDF

2018-08

Approximate Exploration through State Abstraction.
Adrien Ali Taïga, Aaron C. Courville and Marc G. Bellemare
arXiv: Learning
(2018-08-29)
dblp.uni-trier.dePDF
Generalization of Equilibrium Propagation to Vector Field Dynamics.
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard and Yoshua Bengio
arXiv: Learning
(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

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
Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
Eric Larsen, Sébastien Lachapelle, Yoshua BengioEmma FrejingerSimon Lacoste-Julien and Andrea Lodi
arXiv: Learning
(2018-07-31)
arxiv.orgPDF
Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning.
Eric Larsen, Sébastien Lachapelle, Yoshua BengioEmma FrejingerSimon 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: Artificial Intelligence
(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: Artificial Intelligence
(2018-07-21)
ui.adsabs.harvard.eduPDF
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
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach.
Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau and Yoshua Bengio
arXiv: Learning
(2018-07-12)
dblp.uni-trier.dePDF
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
Learning Representations and Generative Models for 3D Point Clouds
Panagiotis Achlioptas, Olga Diamanti, Ioannis Mitliagkas and Leonidas Guibas
Convergent Tree-Backup and Retrace with Function Approximation
Ahmed Touati, Pierre-Luc Bacon, Doina Precup and Pascal Vincent
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Neural Autoregressive Flows
David Krueger, Chin-Wei Huang, Alexandre Lacoste and Aaron Courville
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 BengioJoelle PineauLaurent Charlin and Christopher Pal
Mutual Information Neural Estimator
Mohamed Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua BengioR 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

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: Computation
(2018-06-25)
arxiv.orgPDF
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)
hdl.handle.net
Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin and Chris Pal
arXiv: Machine Learning
(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: Learning
(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 Linarès, Renato de Mori and Yoshua Bengio
Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal VincentChristopher 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: Learning
(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: Genomics
(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: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. CourvilleIoannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-06-13)
dblp.uni-trier.dePDF
Oríon : Experiment Version Control for Efficient Hyperparameter Optimization
Christos Tsirigotis, Xavier Bouthillier, François Corneau-Tremblay, Peter Henderson, Reyhane Askari, Samuel Lavoie-Marchildon, Tristan Deleu, Dendi Suhubdy, Michael Noukhovitch, Frédéric Bastien and Pascal Lamblin
(venue unknown)
(2018-06-11)
openreview.netPDF
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
Randomized Value Functions via Multiplicative Normalizing Flows
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau and Pascal Vincent
Learning to rank for censored survival data.
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Heloise Cardinal, Andrea Lodi and Yoshua Bengio
arXiv: Learning
(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
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: Learning
(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)
dspace.mit.eduPDF

2018-04

Low-memory convolutional neural networks through incremental depth-first processing.
Jonathan Binas and Yoshua Bengio
arXiv: Neural and Evolutionary Computing
(2018-04-28)
dblp.uni-trier.dePDF
Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanisław 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: Computation and Language (2018-04-24)]
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
Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities
Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn, Tom Rainforth, Hongseok Yang and Frank Wood
arXiv: Computation
(2018-04-07)
ui.adsabs.harvard.eduPDF
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
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
Experiments on virtual private network design with concave capacity costs
Andrea Lodi and Ahmad Moradi
Optimization Letters
(2018-04-02)
link.springer.com
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu and Yoshua Bengio
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2018-04-01)
doi.ieeecomputersociety.org

2018-03

Frank-Wolfe Splitting via Augmented Lagrangian Method
Gauthier Gidel, Fabian Pedregosa and Simon Lacoste-Julien
Nonlinear Weighted Finite Automata
AISTATS 2018
(2018-03-31)
proceedings.mlr.pressPDF
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: Machine Learning
(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: Audio and Speech Processing
(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: Computation and Language
(2018-03-07)
dblp.uni-trier.dePDF
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

Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet and Joelle Pineau
Decoupling Dynamics and Reward for Transfer Learning.
Amy Zhang, Harsh Satija and Joelle Pineau
Universal Successor Representations for Transfer Reinforcement Learning
Chen Ma, Junfeng Wen and Yoshua Bengio
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio and Christopher J Pal
A Variational Inequality Perspective on Generative Adversarial Nets
Gauthier Gidel, Hugo Berard, Pascal Vincent and Simon Lacoste-Julien
arXiv: Learning
(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 LarochelleJoelle PineauDoina Precup and Yoshua Bengio
arXiv: Machine Learning
(2018-02-26)
ui.adsabs.harvard.eduPDF
A Walk with SGD.
Chen Xing, Devansh Arpit, Christos Tsirigotis and Yoshua Bengio
arXiv: Machine Learning
(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
ChatPainter: Improving Text to Image Generation using Dialogue
Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou and Yoshua Bengio
Generalization in Machine Learning via Analytical Learning Theory
Kenji Kawaguchi and Yoshua Bengio
arXiv: Machine Learning
(2018-02-21)
ui.adsabs.harvard.eduPDF
Sequential Coordination of Deep Models for Learning Visual Arithmetic
Eric Crawford, Guillaume Rabusseau and Joelle Pineau
arXiv: Learning
(2018-02-15)
dblp.uni-trier.dePDF
An inference-based policy gradient method for learning options
Matthew J. A. Smith, Herke van Hoof and Joelle Pineau
ICML 2018
(2018-02-15)
proceedings.mlr.pressPDF
YellowFin and the Art of Momentum Tuning
Jian Zhang, Ioannis Mitliagkas and Christopher Re
MLSys
(2018-02-15)
proceedings.mlsys.orgPDF
SEARNN: Training RNNs with global-local losses
Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin and Simon Lacoste-Julien
ICLR 2018
(2018-02-15)
hal.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
Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste and Aaron Courville
arXiv: Machine Learning
(2018-02-15)
openreview.netPDF
Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic and Aaron Courville
arXiv: Machine Learning
(2018-02-15)
dblp.uni-trier.dePDF
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: Learning
(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 CharlinChris Pal and Yoshua Bengio
arXiv: Artificial Intelligence
(2018-02-15)
ui.adsabs.harvard.eduPDF
Extending the Framework of Equilibrium Propagation to General Dynamics
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard and Yoshua Bengio
ICLR 2018
(2018-02-15)
dblp.uni-trier.dePDF
Image Segmentation by Iterative Inference from Conditional Score Estimation
Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou and Yoshua Bengio
arXiv: Computer Vision and Pattern Recognition
(2018-02-15)
dblp.uni-trier.dePDF
Learning Generative Models with Locally Disentangled Latent Factors
Brady Neal, Alex Lamb, Sherjil Ozair, Devon HjelmAaron CourvilleYoshua Bengio and Ioannis Mitliagkas
(venue unknown)
(2018-02-15)
PDF
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: Machine Learning
(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, Stanisław Jastrzębski, Edward Grefenstette, Pascal Vincent and Yoshua Bengio
arXiv: Learning
(2018-02-15)
dblp.uni-trier.dePDF
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel and Yoshua Bengio
arXiv: Machine Learning
(2018-02-15)
openreview.netPDF
Fraternal Dropout
Konrad Zolna, Devansh Arpit, Dendi Suhubdy and Yoshua Bengio
ICLR 2018
(2018-02-15)
openreview.netPDF
Three factors influencing minima in SGD
Stanisław Jastrzębski, Zac Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Amos Storkey and Yoshua Bengio
arXiv: Learning
(2018-02-15)
128.84.21.199PDF
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.microsoft.comPDF
Residual Connections Encourage Iterative Inference
Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che and Yoshua Bengio
ICLR 2018
(2018-02-15)
dblp.uni-trier.dePDF
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)
www.microsoft.comPDF
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent
ICLR 2018
(2018-02-12)
dblp.uni-trier.dePDF
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
Learning Robust Options
Daniel Mankowitz, Timothy Mann, Shie Mannor, Doina Precup and Pierre-luc Bacon
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
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson, Wei-Di Chang, Pierre-luc BaconDavid MegerJoelle Pineau and Doina Precup
AAAI 2018
(2018-02-07)
dblp.uni-trier.dePDF
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Joelle PineauDavid MegerDoina 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 BengioChris Pal and Samuel Kadoury
Medical Image Analysis
(2018-02-01)
europepmc.org

2018-01

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: Neurons and Cognition (2019-11-15)]
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization.
Kian Kenyon-Dean, Jackie Chi Kit Cheung and Doina Precup
Variational Bi-LSTMs
Samira Shabanian, Devansh Arpit, Adam Trischler and Yoshua Bengio
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
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: Computation and Language
(2018-01-20)
ui.adsabs.harvard.eduPDF
A3T: Adversarially Augmented Adversarial Training.
Akram Erraqabi, Aristide Baratin, Yoshua Bengio and Simon Lacoste-Julien
arXiv: Learning
(2018-01-12)
ui.adsabs.harvard.eduPDF
Improved asynchronous parallel optimization analysis for stochastic incremental methods
Rémi Leblond, Fabian Pedregosa and Simon Lacoste-Julien
Journal of Machine Learning Research
(2018-01-01)
jmlr.orgPDF[LATEST on arXiv: Optimization and Control (2018-01-11)]
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
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)
jmlr.csail.mit.eduPDF
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)
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, Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael F. Ong, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott Delp, Iker Huerga, Alexander Grigorenko... (19 more)
(venue unknown)
(2018-01-01)
link.springer.com
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
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville and Yoshua Bengio
arXiv: Machine Learning
(2018-01-01)
ui.adsabs.harvard.eduPDF
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