Mila > Team > Yoshua Bengio

# Yoshua Bengio

Core Academic Member
http://www.yoshuabengio.org
Knowledge Graphs
Medical Machine Learning (ML)
Molecular Modeling
Neuroscience
Natural Language Processing (NLP)
Recurrent Neural Networks
Reinforcement Learning (RL)
Climate Change
Causality
AI for Good
Deep Learning
Dynamical Systems
GANs
Learning on Graphs
Generative Models
Graph Neural Networks
Core Academic Member
Scientific Director, Mila & IVADO, Full Professor, Samsung AI Professor, Université de Montréal, Canada CIFAR AI Chair

*For media requests, please write to medias@mila.quebec

Recognized worldwide as one of the leading experts in artificial intelligence, Yoshua Bengio is most known for his pioneering work in deep learning, earning him the 2018 A.M. Turing Award, “the Nobel Prize of Computing,” with Geoffrey Hinton and Yann LeCun.

He is a Full Professor at Université de Montréal, and the Founder and Scientific Director of Mila – Quebec AI Institute. He co-directs the CIFAR Learning in Machines & Brains program as Senior Fellow and acts as Scientific Director of IVADO.

In 2018, he collected the largest number of new citations in the world for a computer scientist and in 2019 was awarded the prestigious Killam Prize. Since 2022 he has the largest h-index impact factor in computer science, worldwide. He is a Fellow of both the Royal Society of London and Canada and Officer of the Order of Canada.

Concerned about the social impact of AI and the objective that AI benefits all, he actively contributed to the Montreal Declaration for the Responsible Development of Artificial Intelligence.

Visit Yoshua Bengio’s website

For more information, please contact Julie Mongeau, Executive Assistant.

## Publications

### 2022-01

Interpolation consistency training for semi-supervised learning.
Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio and David Lopez-Paz
Neural Networks
(2022-01-01)
www.sciencedirect.com PDF[Also on arXiv preprint arXiv:1903.03825 (2019-03-09)]

### 2021-12

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas and Irina Rish
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Oumar Kaba, Yoshua Bengio, Aaron C. Courville, Doina Precup and Guillaume Lajoie
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF
Neural Production Systems
Anirudh Goyal Alias Parth Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael C. Mozer and Yoshua Bengio
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF[Also on arXiv preprint arXiv:2103.01937 (2021-03-02)]
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Muyuan Xia, Kai-Zhan Lee, Yoshua Bengio and Elias Bareinboim
NEURIPS 2021
(2021-12-06)
papers.nips.cc[Also on arXiv preprint arXiv:2107.00793 (2021-07-02)]
Discrete-Valued Neural Communication
Dianbo Liu, Alex M. Lamb, Kenji Kawaguchi, Anirudh Goyal Alias Parth Goyal, Chen Sun, Michael C. Mozer and Yoshua Bengio
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF[Also on arXiv preprint arXiv:2107.02367 (2021-07-06)]
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup and Yoshua Bengio
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF[Also on arXiv preprint arXiv:2106.02097 (2021-06-03)]
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup and Yoshua Bengio
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF[Also on arXiv preprint arXiv:2106.04399 (2021-06-08)]

### 2021-11

GFlowNet Foundations
Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari and Emmanuel Bengio
arXiv: Learning
(2021-11-17)
arxiv.org PDF
Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé.
Joseph Paul Cohen, Tianshi Cao, Joseph D. Viviano, Chin-Wei Huang, Michael Fralick, Marzyeh Ghassemi, Muhammad Mamdani, Russell Greiner and Yoshua Bengio
Canadian Medical Association Journal
(2021-11-08)
europepmc.org PDF

### 2021-10

Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
Kartik Ahuja, Jason Hartford and Yoshua Bengio
arXiv preprint arXiv:2110.15796
(2021-10-29)
dblp.uni-trier.de PDF
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint and Michiel van de Panne
arXiv preprint arXiv:2110.15245
(2021-10-28)
dblp.uni-trier.de PDF
CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding
Suzanne Ackloo, Rima Al-awar, Rommie E. Amaro, Cheryl H. Arrowsmith, Hatylas Azevedo, Robert A. Batey, Yoshua Bengio, Ulrich A.K. Betz, Cristian G. Bologa, John D. Chodera, Wendy D. Cornell, Ian Dunham, Gerhard F. Ecker, Kristina Edfeldt, Aled M. Edwards, Michael K. Gilson, Claudia R. Gordijo, Gerhard Hessler, Alexander Hillisch, Anders Hogner... (19 more)
ChemRxiv
(2021-10-22)
chemrxiv.org
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:2110.10139
(2021-10-19)
dblp.uni-trier.de PDF
Compositional Attention: Disentangling Search and Retrieval
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio and Guillaume Lajoie
arXiv preprint arXiv:2110.09419
(2021-10-18)
dblp.uni-trier.de PDF
Graph Neural Networks with Learnable Structural and Positional Representations.
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio and Xavier Bresson
arXiv preprint arXiv:2110.07875
(2021-10-15)
dblp.uni-trier.de PDF
Dynamic Inference with Neural Interpreters
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello and Bernhard Schölkopf
NEURIPS 2021
(2021-10-12)
papers.nips.cc[LATEST on arXiv: Learning (2021-10-12)]
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernandez-Garcia and Yoshua Bengio
arXiv preprint arXiv:2110.02871
(2021-10-06)
dblp.uni-trier.de PDF
Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond.
Dinghuai Zhang, Jie Fu, Yoshua Bengio and Aaron C. Courville
arXiv preprint arXiv:2110.03372
(2021-10-06)
ui.adsabs.harvard.edu PDF
CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation.
Tariq Daouda, Maude Dumont-Lagacé, Albert Feghaly, Yahya Benslimane, Rébecca Panes, Mathieu Courcelles, Mohamed Benhammadi, Lea Harrington, Pierre Thibault, François Major, Yoshua Bengio, Étienne Gagnon, Sébastien Lemieux and Claude Perreault
PLOS Computational Biology
(2021-10-01)
www.ncbi.nlm.nih.gov[Also on bioRxiv (2021-02-08)]

### 2021-09

Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
Informs Journal on Computing
(2021-09-21)
pubsonline.informs.org[Also on arXiv preprint arXiv:1901.07935 (2018-07-31)]
Problems in the deployment of machine-learned models in health care.
Joseph Paul Cohen, Tianshi Cao, Joseph D Viviano, Chin-Wei Huang, Michael Fralick, Marzyeh Ghassemi, Muhammad Mamdani, Russell Greiner and Yoshua Bengio
Canadian Medical Association Journal
(2021-09-07)
pesquisa.bvsalud.org PDF
Learning Neural Causal Models with Active Interventions
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer and Nan Rosemary Ke
arXiv preprint arXiv:2109.02429
(2021-09-06)
128.84.4.34 PDF

### 2021-07

An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli and Jian Tang
ICML 2021
(2021-07-18)
proceedings.mlr.press PDF[Also on arXiv: Learning (2021-05-15)]
Combating False Negatives in Adversarial Imitation Learning
Konrad Zolna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
IJCNN 2021
(2021-07-18)
dblp.uni-trier.de[Also on arXiv preprint arXiv:2002.00412 (2020-02-02)]
How does hemispheric specialization contribute to human-defining cognition?
Gesa Hartwigsen, Yoshua Bengio and Danilo Bzdok
Neuron
(2021-07-07)
europepmc.org
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Rezende, Yoshua Bengio, Michael Mozer and Christopher Pal
arXiv preprint arXiv:2107.00848
(2021-07-02)
arxiv.org PDF

### 2021-06

Deep learning for AI
Yoshua Bengio, Yann Lecun and Geoffrey Hinton
Communications of The ACM
(2021-06-21)
dl.acm.org PDF
Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, R. Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan and Yoshua Bengio
arXiv preprint arXiv:2106.08365
(2021-06-15)
ui.adsabs.harvard.edu
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures.
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio and Stefan Bauer
arXiv: Learning
(2021-06-14)
dblp.uni-trier.de PDF
A Comparative Study of Learning Outcomes for Online Learning Platforms
François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban and Ekaterina Kochmar
AIED 2021
(2021-06-14)
link.springer.com
Exploration-Driven Representation Learning in Reinforcement Learning
Akram Erraqabi, Mingde Zhao, Marlos C. Machado, Yoshua Bengio, Sainbayar Sukhbaatar, Ludovic Denoyer and Alessandro Lazaric
ICML 2021
(2021-06-13)
openreview.net PDF
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas and Irina Rish
arXiv: Learning
(2021-06-11)
ui.adsabs.harvard.edu PDF
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori... (1 more)
arXiv preprint arXiv:2106.04624
(2021-06-08)
ui.adsabs.harvard.edu PDF
CMIM: Cross-Modal Information Maximization For Medical Imaging
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm and Yoshua Bengio
ICASSP 2021
(2021-06-06)
ieeexplore.ieee.org

### 2021-05

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong and Yoshua Bengio
AAAI 2021
(2021-05-18)
ojs.aaai.org
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
AAAI 2021
(2021-05-18)
ojs.aaai.org
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
AAAI 2021
(2021-05-18)
ojs.aaai.org[Also on arXiv: Learning (2019-09-25)]
Exploring the Wasserstein metric for time-to-event analysis
Tristan Sylvain, Margaux Luck, Joseph Cohen, Heloise Cardinal, Andrea Lodi and Yoshua Bengio
Survival Prediction - Algorithms, Challenges and Applications
(2021-05-11)
proceedings.mlr.press PDF
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke, Aniket Rajiv Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Curtis Mozer, Yoshua Bengio and Christopher Pal
NEURIPS 2021
(2021-05-04)
www.acemap.info PDF
Neural Bayes: A Generic Parameterization Method for Unsupervised Learning
Devansh Arpit, Huan Wang, Caiming Xiong, richard socher and Yoshua Bengio
(venue unknown)
(2021-05-04)
openreview.net PDF
Transformers with Competitive Ensembles of Independent Mechanisms
Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli and Yoshua Bengio
arXiv e-prints
(2021-05-04)
ui.adsabs.harvard.edu PDF
Conditional Networks
Anthony Ortiz, Kris Sankaran, Olac Fuentes, Christopher Kiekintveld, Pascal Vincent, Yoshua Bengio and Doina Precup
(venue unknown)
(2021-05-04)
openreview.net
Dependency Structure Discovery from Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Bernhard Schölkopf, Michael Curtis Mozer, Hugo Larochelle, Christopher Pal and Yoshua Bengio
(venue unknown)
(2021-05-04)
openreview.net PDF
Meta Attention Networks: Meta-Learning Attention to Modulate Information Between Recurrent Independent Mechanisms
Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf and Yoshua Bengio
ICLR 2021
(2021-05-03)
openreview.net
Spatially Structured Recurrent Modules
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio and Bernhard Schölkopf
ICLR 2021
(2021-05-03)
dblp.uni-trier.de
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio and Michael Curtis Mozer
ICLR 2021
(2021-05-03)
research.google PDF
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, victor schmidt, Pierre-luc St-charles, hannah alsdurf, Olexa Bilaniuk, david buckeridge, gaetan caron, pierre luc carrier, Joumana Ghosn, satya ortiz gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf... (3 more)
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF
Systematic generalisation with group invariant predictions
Faruk Ahmed, Yoshua Bengio, Harm van Seijen and Aaron Courville
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Joseph D Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
ICLR 2021
(2021-05-03)
dblp.uni-trier.de[Also on arXiv: Computer Vision and Pattern Recognition (2019-10-01)]
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schölkopf and Stefan Bauer
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF
Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng and Jian Tang
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:2102.10240 (2021-02-20)]
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio and Jian Tang
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:2010.04029 (2020-10-08)]
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio and Bernhard Schölkopf
ICLR 2021
(2021-05-03)
dblp.uni-trier.de[Also on arXiv: Learning (2019-09-24)]

### 2021-04

hBert + BiasCorp - Fighting Racism on the Web
Olawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu and Yoshua Bengio
Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
(2021-04-19)
tspace.library.utoronto.ca PDF[Also on arXiv preprint arXiv:2104.02242 (2021-04-06)]
Machine learning for combinatorial optimization: A methodological tour d’horizon
Yoshua Bengio, Andrea Lodi and Antoine Prouvost
European Journal of Operational Research
(2021-04-16)
www.sciencedirect.com PDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]
Comparative Study of Learning Outcomes for Online Learning Platforms
Francois St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban and Ekaterina Kochmar
arXiv: Computers and Society
(2021-04-15)
arxiv.org PDF

### 2021-03

Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin and Yoshua Bengio
AISTATS 2021
(2021-03-18)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:2010.08012 (2020-10-15)]
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay.
Qicheng Lao, Xiang Jiang, Mohammad Havaei and Yoshua Bengio
IEEE Transactions on Neural Networks
(2021-03-03)
europepmc.org
Coordination Among Neural Modules Through a Shared Global Workspace.
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer and Yoshua Bengio
arXiv: Learning
(2021-03-01)
ui.adsabs.harvard.edu PDF

### 2021-02

Toward Causal Representation Learning
Bernhard Scholkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal and Yoshua Bengio
Proceedings of the IEEE
(2021-02-26)
doi.org
Towards Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal and Yoshua Bengio
arXiv: Learning
(2021-02-22)
ui.adsabs.harvard.edu PDF
DEUP: Direct Epistemic Uncertainty Prediction
Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov and Yoshua Bengio
arXiv: Learning
(2021-02-16)
ui.adsabs.harvard.edu PDF
Structured Sparsity Inducing Adaptive Optimizers for Deep Learning
Tristan Deleu and Yoshua Bengio
arXiv preprint arXiv:2102.03869
(2021-02-07)
ui.adsabs.harvard.edu PDF

### 2021-01

Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features
Thompson Jaf., Y Bengio, E Formisano and M Schönwiesner
bioRxiv
(2021-01-28)
www.psy.ox.ac.uk PDF
Learning from unexpected events in the neocortical microcircuit
Colleen J. Gillon, Jason E. Pina, Jérôme A. Lecoq, Ruweida Ahmed, Yazan N. Billeh, Shiella Caldejon, Peter Groblewski, Timothy M. Henley, India Kato, Eric Lee, Jennifer Luviano, Kyla Mace, Chelsea Nayan, Thuyanh V. Nguyen, Kat North, Jed Perkins, Sam Seid, Matthew T. Valley, Ali Williford, Yoshua Bengio... (3 more)
bioRxiv
(2021-01-16)
www.biorxiv.org PDF
Inherent privacy limitations of decentralized contact tracing apps.
Yoshua Bengio, Daphne Ippolito, Richard Janda, Max Jarvie, Benjamin Prud'homme, Jean-François Rousseau, Abhinav Sharma and Yun William Yu
Journal of the American Medical Informatics Association
(2021-01-15)
academic.oup.com
Attention Based Pruning for Shift Networks
Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux and Yoshua Bengio
ICPR 2021
(2021-01-10)
hal.archives-ouvertes.fr PDF[Also on arXiv preprint arXiv:1905.12300 (2019-05-29)]
Discrete-Valued Neural Communication in Structured Architectures Enhances Generalization
Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Mozer and Yoshua Bengio
(venue unknown)
(2021-01-01)
research.google
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias.
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier and Damien Querlioz
Frontiers in Neuroscience
(2021-01-01)
europepmc.org
Using Artificial Intelligence to Visualize the Impacts of Climate Change
Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio and Theresa-Marie Rhyne
IEEE Computer Graphics and Applications
(2021-01-01)
ieeexplore.ieee.org
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu and Yoshua Bengio
ICCV 2021
(2021-01-01)
openaccess.thecvf.com
Fast And Slow Learning Of Recurrent Independent Mechanisms
Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf and Yoshua Bengio
ICLR 2021
(2021-01-01)
dblp.uni-trier.de[LATEST on arXiv preprint arXiv:2105.08710 (2021-05-18)]

### 2020-12

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin and Yoshua Bengio
NeurIPS CCAI
(2020-12-08)
www.microsoft.com[LATEST on arXiv preprint arXiv:2012.05013 (2020-12-09)]
Establishing an evaluation metric to quantify climate change image realism
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S Bernstein and Yoshua Bengio
Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems
(2020-12-01)
digitalintelligentsiaconsultancyservices.com[Also on Machine Learning: Science and Technology (2020-04-09)][Also on arXiv preprint arXiv:1910.10143 (2019-10-22)]

### 2020-11

Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal and Yoshua Bengio
arXiv preprint arXiv:2011.15091
(2020-11-30)
ui.adsabs.harvard.edu PDF
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon, Jason Jo, Andrea Lodi and Yoshua Bengio
AAAI 2020
(2020-11-27)
ojs.aaai.org[Also on arXiv preprint arXiv:2002.05120 (2020-02-12)]
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design.
Cheng-Hao Liu, Maksym Korablyov, Stanislaw Jastrzebski, Pawel Wlodarczyk-Pruszynski, Yoshua Bengio and Marwin H. S. Segler
arXiv preprint arXiv:2011.13042
(2020-11-25)
ui.adsabs.harvard.edu PDF
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup and Guillaume Lajoie
arXiv preprint arXiv:2011.09468
(2020-11-18)
ui.adsabs.harvard.edu PDF

### 2020-10

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge... (9 more)
arXiv preprint arXiv:2010.16004
(2020-10-30)
ui.adsabs.harvard.edu PDF
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach
Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau and Yoshua Bengio
Journal of Artificial Intelligence Research
(2020-10-27)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:1807.04723 (2018-07-12)]
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf... (3 more)
arXiv preprint arXiv:2010.12536
(2020-10-23)
ui.adsabs.harvard.edu PDF
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio
Communications of The ACM
(2020-10-22)
dl.acm.org PDF
NU-GAN: High resolution neural upsampling with GAN.
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio and Aaron C. Courville
arXiv preprint arXiv:2010.11362
(2020-10-22)
ui.adsabs.harvard.edu PDF
Cross-Modal Information Maximization for Medical Imaging: CMIM.
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm and Yoshua Bengio
arXiv preprint arXiv:2010.10593
(2020-10-20)
ui.adsabs.harvard.edu PDF
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Yoshua Bengio, Bernhard Schölkopf, Manuel Wüthrich and Stefan Bauer
arXiv preprint arXiv:2010.04296
(2020-10-08)
ui.adsabs.harvard.edu PDF

### 2020-09

Generating Multiscale Amorphous Molecular Structures Using Deep Learning: A Study in 2D
Michael Kilgour, Nicolas Gastellu, David Y. T. Hui, Yoshua Bengio and Lena Simine
Journal of Physical Chemistry Letters
(2020-09-24)
www.scilit.net
A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs
Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel and Sriram Sankaranarayanan
CPAIOR 2020
(2020-09-21)
link.springer.com PDF[Also on arXiv: Optimization and Control (2019-12-17)]

### 2020-08

Visual Concept Reasoning Networks
Taesup Kim, Sungwoong Kim and Yoshua Bengio
AAAI 2020
(2020-08-26)
ojs.aaai.org PDF[LATEST on arXiv: Computer Vision and Pattern Recognition (2020-08-26)]
Mastering Rate based Curriculum Learning.
Lucas Willems, Salem Lahlou and Yoshua Bengio
arXiv preprint arXiv:2008.06456
(2020-08-14)
ui.adsabs.harvard.edu PDF

### 2020-07

Deriving Differential Target Propagation from Iterating Approximate Inverses
Yoshua Bengio
arXiv: Learning
(2020-07-29)
ui.adsabs.harvard.edu PDF
Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning
Joseph Paul Cohen, Lan Dao, Karsten Roth, Paul Morrison, Yoshua Bengio, Almas F Abbasi, Beiyi Shen, Hoshmand Kochi Mahsa, Marzyeh Ghassemi, Haifang Li and Tim Q Duong
Cureus
(2020-07-28)
europepmc.org PDF
BabyAI 1.1.
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv preprint arXiv:2007.12770
(2020-07-24)
ui.adsabs.harvard.edu PDF
S2RMs: Spatially Structured Recurrent Modules.
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio and Bernhard Schölkopf
arXiv preprint arXiv:2007.06533
(2020-07-13)
ui.adsabs.harvard.edu PDF
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Haoran Wei, Yashaswi Pathak, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
ICML 2020
(2020-07-12)
proceedings.mlr.press PDF
Revisiting Fundamentals of Experience Replay
William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland and Will Dabney
ICML 2020
(2020-07-12)
proceedings.mlr.press PDF[LATEST on arXiv: Learning (2020-07-13)]
Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle and Augustus Odena
ICML 2020
(2020-07-12)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1910.13540 (2019-10-29)]
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)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:2006.16981 (2020-06-30)]
Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio and Liam Paull
ICML 2020
(2020-07-12)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1906.10335 (2019-06-25)][Also on DGS@ICLR (2019-01-01)]
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin and Yoshua Bengio
AIED 2020
(2020-07-06)
ui.adsabs.harvard.edu PDF[Also on arXiv preprint arXiv:2005.06616 (2020-05-06)]
Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition.
Assya Trofimov, Joseph Paul Cohen, Yoshua Bengio, Claude Perreault and Sébastien Lemieux
Bioinformatics
(2020-07-01)
academic.oup.com
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio and Yue Zhang
ACL 2020
(2020-07-01)
aclanthology.org[Also on arXiv preprint arXiv:2005.05864 (2020-05-12)]
Compositional Generalization by Factorizing Alignment and Translation
Jacob L. Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
ACL 2020
(2020-07-01)
aclanthology.org
The need for privacy with public digital contact tracing during the COVID-19 pandemic
Yoshua Bengio, Richard Janda, Yun William Yu, Daphne Ippolito, Max Jarvie, Dan Pilat, Brooke Struck, Sekoul Krastev and Abhinav Sharma
The Lancet Digital Health
(2020-07-01)
www.thelancet.com

### 2020-06

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.de PDF
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:2006.15212
(2020-06-26)
ui.adsabs.harvard.edu PDF
Rethinking Distributional Matching Based Domain Adaptation.
Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio and Kurt Keutzer
arXiv preprint arXiv:2006.13352
(2020-06-23)
ui.adsabs.harvard.edu PDF
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy and Yoshua Bengio
CVPR 2020
(2020-06-23)
ui.adsabs.harvard.edu PDF
Untangling tradeoffs between recurrence and self-attention in neural networks
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio and Guillaume Lajoie
arXiv preprint arXiv:2006.09471
(2020-06-16)
ui.adsabs.harvard.edu PDF
Learning Causal Models Online.
Khurram Javed, Martha White and Yoshua Bengio
arXiv preprint arXiv:2006.07461
(2020-06-12)
dblp.uni-trier.de PDF
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier and Damien Querlioz
arXiv preprint arXiv:2006.03824
(2020-06-06)
ui.adsabs.harvard.edu PDF
Codon arrangement modulates MHC-I peptides presentation
T. Daouda, M. Dumont-Lagac eacute, A. Feghaly, Y. Benslimane, R. Panes, M. Courcelles, M. Benhammadi, L. Harrington, P. Thibault, F. Major, Y. Bengio, E. Gagnon, S. Lemieux and C. Perreault
bioRxiv
(2020-06-04)
biorxiv.org PDF
On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio and Nicolas Le Roux
AISTATS 2020
(2020-06-03)
proceedings.mlr.press PDF
Training End-to-End Analog Neural Networks with Equilibrium Propagation.
Jack D. Kendall, Ross D. Pantone, Kalpana Manickavasagam, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2006.01981
(2020-06-02)
dblp.uni-trier.de PDF
HNHN: Hypergraph Networks With Hyperedge Neurons
Yihe Dong, Will Sawin and Yoshua Bengio
ICML 2020
(2020-06-01)
www.microsoft.com[LATEST on arXiv preprint arXiv:2006.12278 (2020-06-22)]
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks
Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou and Yoshua Bengio
CVPR 2020
(2020-06-01)
www.computer.org PDF

### 2020-05

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li and Tim Q Duong
arXiv preprint arXiv:2005.11856
(2020-05-24)
arxiv.org PDF
An Analysis of the Adaptation Speed of Causal Models
Rémi Le Priol, Reza Babanezhad, Yoshua Bengio and Simon Lacoste-Julien
AISTATS 2020
(2020-05-18)
proceedings.mlr.press PDF
An Analysis of the Adaptation Speed of Causal Models
Rémi Le Priol, Reza Babanezhad Harikandeh, Yoshua Bengio and Simon Lacoste-Julien
arXiv preprint arXiv:2005.09136
(2020-05-18)
ui.adsabs.harvard.edu PDF
COVI White Paper.
Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck... (3 more)
arXiv preprint arXiv:2005.08502
(2020-05-18)
europepmc.org PDF

### 2020-04

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.de PDF
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sebastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
ICLR 2020
(2020-04-30)
iclr.cc PDF
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
ICLR 2020
(2020-04-30)
iclr.cc PDF[Also on arXiv preprint arXiv:1905.10437 (2019-05-24)]
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Anirudh Goyal, Yoshua Bengio, Matthew Botvinick and Sergey Levine
ICLR 2020
(2020-04-30)
iclr.cc PDF[Also on arXiv preprint arXiv:2004.11935 (2020-04-24)]
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine and Yoshua Bengio
ICLR 2020
(2020-04-30)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:1906.10667 (2019-06-25)]
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2005.04169
(2020-04-29)
ui.adsabs.harvard.edu PDF
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
ECCV 2020
(2020-04-28)
link.springer.com PDF[LATEST on arXiv preprint arXiv:2004.13458 (2020-04-28)]
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:2004.12485
(2020-04-26)
ui.adsabs.harvard.edu PDF
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
EMNLP 2020
(2020-04-21)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:2004.10151 (2020-04-21)]
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensbold, Cullen O'Keefe, Mark Koren, Theo Ryffel... (39 more)
arXiv preprint arXiv:2004.07213
(2020-04-15)
ui.adsabs.harvard.edu PDF
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 PDF
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)
europepmc.org[Also on bioRxiv (2019-03-17)]

### 2020-03

Object-Centric Image Generation from Layouts
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm and Shikhar Sharma
AAAI 2020
(2020-03-16)
ojs.aaai.org[LATEST on arXiv preprint arXiv:2003.07449 (2020-03-16)]
On the Morality of Artificial Intelligence [Commentary]
Alexandra Luccioni and Yoshua Bengio
IEEE Technology and Society Magazine
(2020-03-13)
doi.org
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao and Yoshua Bengio
NEURIPS 2020
(2020-03-12)
papers.nips.cc PDF[LATEST on arXiv: Learning (2020-03-12)]
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao, Xiang Jiang, Mohammad Havaei and Yoshua Bengio
arXiv preprint arXiv:2003.04382
(2020-03-09)
ui.adsabs.harvard.edu PDF
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio and Xavier Bresson
arXiv preprint arXiv:2003.00982
(2020-03-02)
ui.adsabs.harvard.edu PDF

### 2020-02

Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher and Yoshua Bengio
arXiv preprint arXiv:2002.09046
(2020-02-20)
ui.adsabs.harvard.edu PDF
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise and Yoshua Bengio
arXiv preprint arXiv:2002.06460
(2020-02-15)
ui.adsabs.harvard.edu PDF
Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
Victor Schmidt, Mustafa Alghali, Kris Sankaran, Tianle Yuan and Yoshua Bengio
arXiv preprint arXiv:2002.07579
(2020-02-10)
export.arxiv.org PDF
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon and Andreas Moshovos
arXiv preprint arXiv:2002.03090
(2020-02-08)
dblp.uni-trier.de PDF
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
arXiv preprint arXiv:2002.02887
(2020-02-07)
ui.adsabs.harvard.edu PDF

### 2020-01

Using Simulated Data to Generate Images of Climate Change
Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni and Yoshua Bengio
arXiv preprint arXiv:2001.09531
(2020-01-26)
ui.adsabs.harvard.edu PDF
Multi-Task Self-Supervised Learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, Joao Monteiro, Jan Trmal and Yoshua Bengio
ICASSP 2020
(2020-01-25)
ui.adsabs.harvard.edu[Also on arXiv preprint arXiv:2001.09239 (2020-01-25)]
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias B. Khalil, Pawan Kumar Mudigonda, Andrea Lodi and Yoshua Bengio
NEURIPS 2020
(2020-01-01)
papers.nips.cc PDF
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal Alias Parth Goyal, Kyle Goyette, Yoshua Bengio and Guillaume Lajoie
NEURIPS 2020
(2020-01-01)
papers.nips.cc PDF
On Catastrophic Interference in Atari 2600 Games
William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio and Hugo Larochelle
arXiv preprint arXiv:2002.12499
(2020-01-01)
ui.adsabs.harvard.edu PDF
Toward Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
Neural Computation
(2020-01-01)
direct.mit.edu

### 2019-12

Learning from Learning Machines: Optimisation, Rules, and Social Norms
Travis LaCroix and Yoshua Bengio
arXiv preprint arXiv:2001.00006
(2019-12-29)
dblp.uni-trier.de PDF
On the Morality of Artificial Intelligence.
Alexandra Luccioni and Yoshua Bengio
arXiv preprint arXiv:1912.11945
(2019-12-26)
dblp.uni-trier.de PDF
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
ByungIn Yoo, Tristan Sylvain, Yoshua Bengio and Junmo Kim
arXiv preprint arXiv:1912.06994
(2019-12-15)
ui.adsabs.harvard.edu PDF
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
ViGIL@NeurIPS
(2019-12-12)
ui.adsabs.harvard.edu PDF[Also on arXiv preprint arXiv:1912.05783 (2019-12-12)]
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit, Víctor Campos and Yoshua Bengio
NEURIPS 2019
(2019-12-08)
papers.nips.cc PDF[Also on arXiv preprint arXiv:1906.02341 (2019-06-05)]
Variational Temporal Abstraction
Taesup Kim, Sungjin Ahn and Yoshua Bengio
NEURIPS 2019
(2019-12-08)
papers.nips.cc PDF[Also on arXiv preprint arXiv:1910.00775 (2019-10-02)]
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
Jessica Thompson, Yoshua Bengio and Marc Schoenwiesner
2019 Conference on Cognitive Computational Neuroscience
(2019-12-04)
dblp.uni-trier.de PDF
Applying Knowledge Transfer for Water Body Segmentation in Peru.
Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran and Yoshua Bengio
arXiv preprint arXiv:1912.00957
(2019-12-02)
dblp.uni-trier.de PDF
Automated curriculum generation for Policy Gradients from Demonstrations
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert and Yoshua Bengio
arXiv preprint arXiv:1912.00444
(2019-12-01)
ui.adsabs.harvard.edu PDF
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté and R Devon Hjelm
NEURIPS 2019
(2019-12-01)
papers.nips.cc PDF[Also on arXiv preprint arXiv:1906.08226 (2019-06-19)]

### 2019-11

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong and Yoshua Bengio
arXiv preprint arXiv:1911.07421
(2019-11-18)
dblp.uni-trier.de PDF
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy
Alex Lamb, Vikas Verma, Juho Kannala and Yoshua Bengio
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security
(2019-11-11)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1906.06784 (2019-06-16)]

### 2019-10

A deep learning framework for neuroscience
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli, Colleen J Gillon, Danijar Hafner, Adam Kepecs, Nikolaus Kriegeskorte, Peter Latham, Grace W Lindsay, Kenneth D Miller, Richard Naud, Christopher C Pack, Panayiota Poirazi... (12 more)
Nature Neuroscience
(2019-10-28)
europepmc.org PDF
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.09570
(2019-10-21)
ui.adsabs.harvard.edu PDF
Predicting ice flow using machine learning.
Yimeng Min, S. Karthik Mukkavilli and Yoshua Bengio
arXiv preprint arXiv:1910.08922
(2019-10-20)
dblp.uni-trier.de PDF
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh and Yoshua Bengio
MICCAI 2019
(2019-10-13)
link.springer.com
Depth with nonlinearity creates no bad local minima in ResNets.
Kenji Kawaguchi and Yoshua Bengio
Neural Networks
(2019-10-01)
www.sciencedirect.com PDF
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
ICCV 2019
(2019-10-01)
openaccess.thecvf.com PDF[Also on arXiv preprint arXiv:1811.09845 (2018-11-24)]
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
ICCV 2019
(2019-10-01)
www.ncbi.nlm.nih.gov PDF[Also on arXiv preprint arXiv:1908.06965 (2019-08-16)]

### 2019-09

SPECTRA: Sparse Entity-centric Transitions
Rim Assouel and Yoshua Bengio
(venue unknown)
(2019-09-25)
openreview.net PDF
{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio and Joseph Paul Cohen
(venue unknown)
(2019-09-25)
openreview.net PDF
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.net PDF
Equilibrium Propagation with Continual Weight Updates
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2005.04168
(2019-09-25)
dblp.uni-trier.de PDF
Underwhelming Generalization Improvements From Controlling Feature Attribution
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.00199
(2019-09-25)
dblp.uni-trier.de PDF
Learning Neural Causal Models from Unknown Interventions.
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stephan Bauer, Hugol Larochelle, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1910.01075
(2019-09-25)
ui.adsabs.harvard.edu PDF
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv preprint arXiv:1909.11715
(2019-09-25)
ui.adsabs.harvard.edu PDF
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier and Yoshua Bengio
arXiv preprint arXiv:1909.00949
(2019-09-25)
ui.adsabs.harvard.edu PDF
Avoidance Learning Using Observational Reinforcement Learning
David Venuto, Leonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio and Doina Precup
arXiv preprint arXiv:1909.11228
(2019-09-24)
ui.adsabs.harvard.edu PDF
Learning Speaker Representations with Mutual Information.
Mirco Ravanelli and Yoshua Bengio
INTERSPEECH 2019
(2019-09-15)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:1812.00271 (2018-12-01)]
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar and Yoshua Bengio
INTERSPEECH 2019
(2019-09-15)
doi.org PDF[Also on arXiv preprint arXiv:1904.03670 (2019-04-07)]
Torchmeta: A Meta-Learning library for PyTorch
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen and Yoshua Bengio
arXiv preprint arXiv:1909.06576
(2019-09-14)
ui.adsabs.harvard.edu PDF
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio and Aaron C. Courville
NEURIPS 2019
(2019-09-06)
papers.nips.cc PDF[LATEST on arXiv preprint arXiv:1910.06711 (2019-10-08)]

### 2019-08

Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio and Adam Trischler
EMNLP 2019
(2019-08-28)
doi.org[LATEST on arXiv preprint arXiv:1908.10909 (2019-08-28)]

### 2019-07

Combined Reinforcement Learning via Abstract Representations
Vincent Francois-Lavet, Yoshua Bengio, Doina Precup and Joelle Pineau
AAAI 2019
(2019-07-17)
www.aaai.org PDF[Also on arXiv preprint arXiv:1809.04506 (2018-09-12)]
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
Meng Qu, Jian Tang and Yoshua Bengio
arXiv preprint arXiv:1907.03179
(2019-07-06)
dblp.uni-trier.de PDF
Learning the Arrow of Time
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme and Yoshua Bengio
arXiv: Learning
(2019-07-02)
dblp.uni-trier.de PDF
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar and Yoshua Bengio
ACL 2019
(2019-07-01)
aclanthology.org PDF[Also on arXiv preprint arXiv:1906.01603 (2019-06-04)]

### 2019-06

On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Mangazol, Yoshua Bengio and Nicolas Le Roux
arXiv preprint arXiv:1906.07774
(2019-06-18)
ui.adsabs.harvard.edu
Information matrices and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio and Nicolas Le Roux
(venue unknown)
(2019-06-18)
dblp.uni-trier.de PDF
Conditional Computation for Continual Learning
Min Lin, Jie Fu and Yoshua Bengio
arXiv preprint arXiv:1906.06635
(2019-06-16)
ui.adsabs.harvard.edu PDF
Learning Powerful Policies by Using Consistent Dynamics Model.
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine and Jian Tang
arXiv preprint arXiv:1906.04355
(2019-06-11)
dblp.uni-trier.de PDF
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig... (2 more)
arXiv preprint arXiv:1906.05433
(2019-06-10)
ui.adsabs.harvard.edu PDF

### 2019-05

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
NEURIPS 2019
(2019-05-31)
papers.nips.cc PDF[Also on arXiv preprint arXiv:1905.13633 (2019-05-31)]
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio and Michael C. Mozer
arXiv preprint arXiv:1905.11382
(2019-05-26)
ui.adsabs.harvard.edu PDF
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio and Michael Mozer
ICML 2019
(2019-05-24)
proceedings.mlr.press PDF
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio and Jian Tang
ICML 2019
(2019-05-24)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1905.06214 (2019-05-15)]
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz and Yoshua Bengio
ICML 2019
(2019-05-24)
proceedings.mlr.press PDF
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio and Aaron C. Courville
ICML 2019
(2019-05-24)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1806.08734 (2018-06-22)]
The Journey is the Reward: Unsupervised Learning of Influential Trajectories.
Jonathan Binas, Sherjil Ozair and Yoshua Bengio
arXiv preprint arXiv:1905.09334
(2019-05-22)
dblp.uni-trier.de PDF
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio and Liam Paull
ICRA 2019
(2019-05-20)
ieeexplore.ieee.org[Also on arXiv preprint arXiv:1810.04871 (2018-10-11)]
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
ICASSP 2019
(2019-05-12)
ieeexplore.ieee.org PDF[Also on arXiv preprint arXiv:1811.07240 (2018-11-17)]
The Pytorch-kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet and Yoshua Bengio
ICASSP 2019
(2019-05-12)
doi.org PDF[Also on arXiv: Audio and Speech Processing (2018-11-19)]
Reproducibility in Machine Learning
Nan Rosemary Ke, Alex Lamb, Anirudh Goyal Alias Parth Goyal, Aaron Courville and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.cc
Modeling the Long Term Future in Model-Based Reinforcement Learning
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal Alias Parth Goyal, Yoshua Bengio, Devi Parikh and Dhruv Batra
ICLR 2019
(2019-05-06)
iclr.cc PDF
AI for Social Good
Margaux Luck, Joseph Paul Cohen, Myriam Cote, Kris Sankaran, Sean McGregor, Virgile Sylvain, Jonnie Penn, Tristan Sylvain, GeneviÃ¨ve Boucher, Rayid Ghani, Yoshua Bengio and Kentaro Toyama
ICLR 2019
(2019-05-06)
iclr.cc
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio and Amos Storkey
ICLR 2019
(2019-05-06)
iclr.cc PDF[Also on arXiv: Machine Learning (2018-07-13)]
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes and Yoshua Bengio
arXiv preprint arXiv:1905.03709
(2019-05-02)
ui.adsabs.harvard.edu PDF
A Highly Adaptive Acoustic Model for Accurate Multi-dialect Speech Recognition
Sanghyun Yoo, Inchul Song and Yoshua Bengio
ICASSP 2019
(2019-05-01)
dblp.uni-trier.de

### 2019-04

Compositional generalization in a deep seq2seq model by separating syntax and semantics.
Jake Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
arXiv preprint arXiv:1904.09708
(2019-04-22)
dblp.uni-trier.de PDF
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.de PDF[Also on arXiv preprint arXiv:1904.07478 (2019-04-16)]
Reinforced Imitation in Heterogeneous Action Space.
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn and Pedro O. Pinheiro
arXiv preprint arXiv:1904.03438
(2019-04-06)
ui.adsabs.harvard.edu PDF
Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks.
Santiago Pascual, Mirco Ravanelli, Joan Serrà, Antonio Bonafonte and Yoshua Bengio
INTERSPEECH 2019
(2019-04-06)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1904.03416 (2019-04-06)]

### 2019-03

InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh and Yoshua Bengio
arXiv preprint arXiv:1903.11741
(2019-03-28)
aps.arxiv.org PDF
Towards Standardization of Data Licenses: The Montreal Data License
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio and Alex Shee
arXiv preprint arXiv:1903.12262
(2019-03-21)
ui.adsabs.harvard.edu PDF
Online continual learning with no task boundaries.
Rahaf Aljundi, Min Lin, Baptiste Goujaud and Yoshua Bengio
(venue unknown)
(2019-03-20)
dblp.uni-trier.de PDF
Gated Orthogonal Recurrent Units: On Learning to Forget
Li Jing, Caglar Gulcehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic and Yoshua Bengio
Neural Computation
(2019-03-15)
direct.mit.edu[Also on AAAI Workshops (2018-01-01)]
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future.
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh and Dhruv Batra
arXiv preprint arXiv:1903.01599
(2019-03-05)
dblp.uni-trier.de PDF

### 2019-02

Hyperbolic Discounting and Learning over Multiple Horizons
William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare and Hugo Larochelle
arXiv preprint arXiv:1902.06865
(2019-02-19)
ui.adsabs.harvard.edu PDF

### 2019-01

InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio and Sergey Levine
arXiv preprint arXiv:1901.10902
(2019-01-30)
ui.adsabs.harvard.edu PDF
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
arXiv preprint arXiv:1901.10912
(2019-01-30)
ui.adsabs.harvard.edu PDF
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou and Yoshua Bengio
AAAI 2019
(2019-01-27)
www.aaai.org PDF[Also on arXiv preprint arXiv:1902.06704 (2019-01-22)]
Maximum Entropy Generators for Energy-Based Models.
Rithesh Kumar, Anirudh Goyal, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1901.08508
(2019-01-24)
ui.adsabs.harvard.edu PDF
Equivalence of Equilibrium Propagation and Recurrent Backpropagation.
Benjamin Scellier and Yoshua Bengio
Neural Computation
(2019-01-18)
direct.mit.edu PDF[Also on 2018 Conference on Cognitive Computational Neuroscience (2018-01-01)]
The Benefits of Over-parameterization at Initialization in Deep ReLU Networks
Devansh Arpit and Yoshua Bengio
arXiv preprint arXiv:1901.03611
(2019-01-11)
dblp.uni-trier.de PDF
InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio and Sergey Levine
(venue unknown)
(2019-01-01)
ai.google
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex M. Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio and Chris Pal
NEURIPS 2019
(2019-01-01)
papers.nips.cc PDF[LATEST on arXiv: Machine Learning (2019-03-07)]
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Yoshua Bengio and Sergey Levine
ICLR 2019
(2019-01-01)
dblp.uni-trier.de PDF
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal, Philemon Brakel, Liam Fedus, Soumye Singhal, Timothy Lillicrap, Sergey Levine, Hugo Larochelle and Yoshua Bengio
ICLR 2019
(2019-01-01)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:1804.00379 (2018-04-02)]
Adversarial domain adaptation for stable brain-machine interfaces
Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller and Sara A. Solla
ICLR 2019
(2019-01-01)
www.scholars.northwestern.edu PDF[Also on arXiv preprint arXiv:1810.00045 (2018-09-28)][Also on Unknown Journal (2018-09-28)]
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
NEURIPS 2019
(2019-01-01)
papers.nips.cc PDF[LATEST on arXiv preprint arXiv:1905.12080 (2019-05-28)]
Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud and Yoshua Bengio
NEURIPS 2019
(2019-01-01)
papers.nips.cc PDF[LATEST on arXiv: Learning (2019-03-20)]
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine and Pierre Sermanet
NEURIPS 2019
(2019-01-01)
papers.nips.cc PDF[LATEST on arXiv preprint arXiv:1903.11780 (2019-03-28)]

### 2018-12

Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks.
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia and Yoshua Bengio
arXiv preprint arXiv:1812.11337
(2018-12-25)
hal.archives-ouvertes.fr PDF
Speech and Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli and Yoshua Bengio
arXiv preprint arXiv:1812.05920
(2018-12-13)
ui.adsabs.harvard.edu PDF
The effects of negative adaptation in Model-Agnostic Meta-Learning
Tristan Deleu and Yoshua Bengio
arXiv preprint arXiv:1812.02159
(2018-12-05)
ui.adsabs.harvard.edu PDF
Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio and Sungjin Ahn
NEURIPS 2018
(2018-12-03)
papers.nips.cc PDF
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.cc PDF
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio and Walter Senn
NEURIPS 2018
(2018-12-03)
papers.nips.cc PDF[Also on arXiv: Neurons and Cognition (2018-10-26)]
Deep convolutional networks for quality assessment of protein folds.
Georgy Derevyanko, Sergei Grudinin, Yoshua Bengio and Guillaume Lamoureux
Bioinformatics
(2018-12-01)
academic.oup.com PDF

### 2018-11

Keep Drawing It: Iterative language-based image generation and editing
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio and Graham W. Taylor
NEURIPS 2018
(2018-11-24)
[LATEST on None (2018-11-24)]
Interpretable Convolutional Filters with SincNet
Mirco Ravanelli and Yoshua Bengio
arXiv preprint arXiv:1811.09725
(2018-11-23)
ui.adsabs.harvard.edu PDF
On Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:1811.07017
(2018-11-16)
arxiv.org PDF

### 2018-10

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop.
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen and Yoshua Bengio
(venue unknown)
(2018-10-18)
dblp.uni-trier.de PDF
Deep Learning. Das umfassende Handbuch
Ian Goodfellow, Yoshua Bengio and Aaron Courville
(venue unknown)
(2018-10-10)
content-select.com
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.org PDF

### 2018-09

EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models
Rithesh Kumar, Anirudh Goyal, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.net PDF
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.net PDF
Towards the Latent Transcriptome
Assya Trofimov, Francis Dutil, Claude Perreault, Sebastien Lemieux, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1810.03442
(2018-09-27)
dblp.uni-trier.de PDF
Unsupervised one-to-many image translation
Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikołaj Bińkowski, Aaron Courville, Yoshua Bengio and R Devon Hjelm
(venue unknown)
(2018-09-27)
openreview.net PDF
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.net PDF
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation
Rim Assouel, Mohamed Ahmed, Marwin H. S. Segler, Amir Saffari and Yoshua Bengio
arXiv preprint arXiv:1811.09766
(2018-09-27)
dblp.uni-trier.de PDF
Universal Successor Features for Transfer Reinforcement Learning
Chen Ma, Dylan R. Ashley, Junfeng Wen and Yoshua Bengio
arXiv preprint arXiv:2001.04025
(2018-09-27)
dblp.uni-trier.de PDF
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas and Yoshua Bengio
arXiv preprint arXiv:1804.02485
(2018-09-27)
ui.adsabs.harvard.edu PDF
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Devansh Arpit, Bhargav Kanuparthi, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas and Yoshua Bengio
ICLR 2018
(2018-09-27)
ui.adsabs.harvard.edu PDF[LATEST on arXiv preprint arXiv:1810.03023 (2018-10-06)]
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Aaron Courville, Ioannis Mitliagkas and Yoshua Bengio
arXiv Machine Learning (Statistics)
(2018-09-27)
openreview.net PDF
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori and Yoshua Bengio
ICLR 2018
(2018-09-27)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:1806.04418 (2018-06-12)]
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio and Chris Pal
ICLR 2018
(2018-09-27)
dblp.uni-trier.de PDF
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen and Yoshua Bengio
ICLR 2018
(2018-09-27)
dblp.uni-trier.de PDF[LATEST on arXiv preprint arXiv:1810.08272 (2018-10-18)]
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio and Geoffrey J. Gordon
ICLR 2018
(2018-09-27)
www.microsoft.com PDF[LATEST on arXiv preprint arXiv:1812.05159 (2018-12-12)]
Deep Graph Infomax
Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio and R. Devon Hjelm
ICLR 2018
(2018-09-27)
research.google PDF[Also on arXiv preprint arXiv:1809.10341 (2018-09-27)]
How can deep learning advance computational modeling of sensory information processing
Jessica A. F. Thompson, Yoshua Bengio, Elia Formisano and Marc Schönwiesner
arXiv preprint arXiv:1810.08651
(2018-09-25)
ui.adsabs.harvard.edu PDF
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov and Christopher D. Manning
EMNLP 2018
(2018-09-25)
aclanthology.info[LATEST on arXiv preprint arXiv:1809.09600 (2018-09-25)]
On the Learning Dynamics of Deep Neural Networks.
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1809.06848
(2018-09-18)
ui.adsabs.harvard.edu PDF
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1809.03702
(2018-09-11)
ui.adsabs.harvard.edu PDF

### 2018-08

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
ICLR 2018
(2018-08-20)
www.microsoft.com PDF[LATEST on arXiv: Machine Learning (2018-08-20)]
Generalization of Equilibrium Propagation to Vector Field Dynamics.
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard and Yoshua Bengio
arXiv preprint arXiv:1808.04873
(2018-08-14)
dblp.uni-trier.de PDF

### 2018-07

Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning.
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
(venue unknown)
(2018-07-31)
dblp.uni-trier.de
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli and Yoshua Bengio
SLT 2018
(2018-07-29)
doi.org[Also on arXiv preprint arXiv:1808.00158 (2018-07-29)]
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.de PDF
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
IJCNN 2018
(2018-07-08)
ui.adsabs.harvard.edu[Also on arXiv preprint arXiv:1802.00300 (2018-02-01)]
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin and Christopher J. Pal
ICML 2018
(2018-07-03)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1806.04342 (2018-06-12)]
Mutual Information Neural Estimation.
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville and Devon Hjelm
ICML 2018
(2018-07-03)
proceedings.mlr.press PDF
Neural models for key phrase detection and question generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler and Yoshua Bengio
ACL 2018
(2018-07-01)
ui.adsabs.harvard.edu PDF

### 2018-06

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.de PDF
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
INTERSPEECH 2018
(2018-06-20)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:1806.07789 (2018-06-20)]
Modularity Matters: Learning Invariant Relational Reasoning Tasks
Jason Jo, Vikas Verma and Yoshua Bengio
arXiv preprint arXiv:1806.06765
(2018-06-18)
ui.adsabs.harvard.edu PDF
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko and Yoshua Bengio
arXiv preprint arXiv:1806.06975
(2018-06-18)
dblp.uni-trier.de PDF
Manifold Mixup: Better Representations by Interpolating Hidden States.
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, Aaron Courville, David Lopez-Paz and Yoshua Bengio
arXiv: Machine Learning
(2018-06-13)
arxiv.org PDF
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-06-13)
dblp.uni-trier.de PDF
Bayesian Model-Agnostic Meta-Learning
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio and Sungjin Ahn
arXiv preprint arXiv:1806.03836
(2018-06-11)
arxiv.org PDF
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville and Yoshua Bengio
ACL 2018
(2018-06-11)
aclanthology.info[Also on arXiv preprint arXiv:1806.04168 (2018-06-11)]
Mine: mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville and Devon Hjelm
ICML 2018
(2018-06-07)
www.microsoft.com
Learning to rank for censored survival data.
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Heloise Cardinal, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:1806.01984
(2018-06-06)
ui.adsabs.harvard.edu PDF
Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio and Jackie Chi Kit Cheung
Proceedings of the Workshop on Generalization in the Age of Deep Learning
(2018-06-01)
www.aclweb.org[Also on arXiv preprint arXiv:1804.09259 (2018-04-24)]
On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation
Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero and Yoshua Bengio
CVPR 2018
(2018-06-01)
openaccess.thecvf.com PDF[Also on arXiv preprint arXiv:1804.11332 (2018-04-30)]

### 2018-05

Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia, Joost van de Weijer and Yoshua Bengio
NEURIPS 2018
(2018-05-24)
papers.nips.cc PDF[Also on arXiv preprint arXiv:1805.09730 (2018-05-24)]
Generalization in Deep Learning
Kenji Kawaguchi, Leslie Pack Kaelbling and Yoshua Bengio
Mathematics of Deep Learning, Cambridge University Press. Prepint avaliable as: MIT-CSAIL-TR-2018-014, Massachusetts Institute of Technology
(2018-05-01)
lis.csail.mit.edu PDF

### 2018-04

Low-memory convolutional neural networks through incremental depth-first processing.
Jonathan Binas and Yoshua Bengio
arXiv preprint arXiv:1804.10727
(2018-04-28)
dblp.uni-trier.de PDF
Twin Regularization for online speech recognition
Mirco Ravanelli, Dmitriy Serdyuk and Yoshua Bengio
INTERSPEECH 2018
(2018-04-15)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:1804.05374 (2018-04-15)]
Towards End-to-end Spoken Language Understanding
Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu and Yoshua Bengio
ICASSP 2018
(2018-04-15)
ieeexplore.ieee.org PDF[Also on arXiv preprint arXiv:1802.08395 (2018-02-23)]
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.org PDF
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.net PDF
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.net PDF
Fine-grained attention mechanism for neural machine translation
Heeyoul Choi, Kyunghyun Cho and Yoshua Bengio
Neurocomputing
(2018-04-05)
www.sciencedirect.com[Also on arXiv preprint arXiv:1803.11407 (2018-03-30)]
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu and Yoshua Bengio
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2018-04-01)
europepmc.org

### 2018-03

Learning Anonymized Representations with Adversarial Neural Networks
Clément Feutry, Pablo Piantanida, Yoshua Bengio and Pierre Duhamel
arXiv preprint arXiv:1802.09386
(2018-03-24)
hal-centralesupelec.archives-ouvertes.fr PDF
Light Gated Recurrent Units for Speech Recognition
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo and Yoshua Bengio
arXiv preprint arXiv:1803.10225
(2018-03-23)
ui.adsabs.harvard.edu PDF

### 2018-02

Disentangling the independently controllable factors of variation by interacting with the world
Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup and Yoshua Bengio
arXiv preprint arXiv:1802.09484
(2018-02-26)
ui.adsabs.harvard.edu PDF
A Walk with SGD.
Chen Xing, Devansh Arpit, Christos Tsirigotis and Yoshua Bengio
arXiv preprint arXiv:1802.08770
(2018-02-24)
dblp.uni-trier.de PDF
Generalization in Machine Learning via Analytical Learning Theory
Kenji Kawaguchi and Yoshua Bengio
arXiv preprint arXiv:1802.07426
(2018-02-21)
ui.adsabs.harvard.edu PDF
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1711.02326
(2018-02-15)
ui.adsabs.harvard.edu PDF
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.de PDF
Image Segmentation by Iterative Inference from Conditional Score Estimation
Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou and Yoshua Bengio
arXiv preprint arXiv:1705.07450
(2018-02-15)
dblp.uni-trier.de PDF
Learning Generative Models with Locally Disentangled Latent Factors
Brady Neal, Alex Lamb, Sherjil Ozair, Devon Hjelm, Aaron Courville, Yoshua Bengio and Ioannis Mitliagkas
(venue unknown)
(2018-02-15)
openreview.net 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.com PDF
Variance Regularizing Adversarial Learning
Karan Grewal, R Devon Hjelm and Yoshua Bengio
arXiv preprint arXiv:1707.00309
(2018-02-15)
128.84.21.199 PDF
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.net PDF
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel and Yoshua Bengio
arXiv preprint arXiv:1710.05050
(2018-02-15)
openreview.net PDF
Fraternal Dropout
Konrad Zolna, Devansh Arpit, Dendi Suhubdy and Yoshua Bengio
ICLR 2018
(2018-02-15)
openreview.net PDF
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.edu PDF
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.com PDF
Three factors influencing minima in SGD
Stanisław Jastrzębski, Zac Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Amos Storkey and Yoshua Bengio
arXiv preprint arXiv:1711.04623
(2018-02-15)
128.84.21.199 PDF
Residual Connections Encourage Iterative Inference
Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.edu PDF
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio and Christopher J. Pal
ICLR 2018
(2018-02-15)
www.microsoft.com PDF[LATEST on arXiv preprint arXiv:1804.00079 (2018-03-30)]
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.repository.cam.ac.uk PDF
Graph Priors for Deep Neural Networks
Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko and Yoshua Bengio
(venue unknown)
(2018-02-12)
openreview.net PDF
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.de PDF
Universal Successor Representations for Transfer Reinforcement Learning
Chen Ma, Junfeng Wen and Yoshua Bengio
ICLR 2018
(2018-02-12)
ui.adsabs.harvard.edu PDF[LATEST on arXiv preprint arXiv:1804.03758 (2018-04-11)]
ChatPainter: Improving Text to Image Generation using Dialogue
Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou and Yoshua Bengio
ICLR 2018
(2018-02-12)
www.microsoft.com PDF[LATEST on arXiv preprint arXiv:1802.08216 (2018-02-22)]
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal and Samuel Kadoury
Medical Image Analysis
(2018-02-01)
europepmc.org

### 2018-01

Neural Models for Key Phrase Detection and Question Generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler and Yoshua Bengio
Neural and Evolutionary Computing
(2018-01-23)
www.microsoft.com
Variational Bi-LSTMs
Samira Shabanian, Devansh Arpit, Adam Trischler and Yoshua Bengio
Machine Learning
(2018-01-23)
www.microsoft.com[LATEST on arXiv preprint arXiv:1711.05717 (2018-02-15)]
A Deep Reinforcement Learning Chatbot (Short Version)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau and Yoshua Bengio
arXiv preprint arXiv:1801.06700
(2018-01-20)
ui.adsabs.harvard.edu PDF
A3T: Adversarially Augmented Adversarial Training.
Akram Erraqabi, Aristide Baratin, Yoshua Bengio and Simon Lacoste-Julien
arXiv preprint arXiv:1801.04055
(2018-01-12)
ui.adsabs.harvard.edu PDF
BigBrain: 1D convolutional neural networks for automated sementation of cortical layers
K. Wagstyl, C. Lepage, Karl Zilles, Sebastian Bludau, G. Cucurul, A. C. Evans, P. Fletcher, A. Romero, J. Cohen, S. Larocque, T. Funck, Katrin Amunts and Y. Bengio
2018 Annual Meeting of the Organization of Human Brain Mapping (OHBM)
(2018-01-01)
juser.fz-juelich.de
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences.
Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni and Yoshua Bengio
ACL 2018
(2018-01-01)
www.aclweb.org
The First Conversational Intelligence Challenge
Mikhail Burtsev, Varvara Logacheva, Valentin Malykh, Iulian Vlad Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander Rudnicky and Yoshua Bengio
(venue unknown)
(2018-01-01)
link.springer.com
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal Alias Parth Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
NEURIPS 2018
(2018-01-01)
papers.nips.cc PDF
Introduction to NIPS 2017 Competition Track
Sergio Escalera, Markus Weimer, Mikhail Burtsev, Valentin Malykh, Varvara Logacheva, Ryan Lowe, Iulian Vlad Serban, Yoshua Bengio, Alexander Rudnicky, Alan W. Black, Shrimai Prabhumoye, Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael F. Ong, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott Delp, Iker Huerga, Alexander Grigorenko... (19 more)
(venue unknown)
(2018-01-01)
link.springer.com
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks
Thomas Mesnard, Gaëtan Vignoud, João Sacramento, Walter Senn and Yoshua Bengio
2018 Conference on Cognitive Computational Neuroscience
(2018-01-01)
dblp.uni-trier.de PDF[LATEST on arXiv preprint arXiv:1911.08585 (2019-11-15)]

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