Yoshua Bengio

Core Academic Member
Yoshua Bengio
Scientific Director - Mila, Research Activities, Management, Observer, Board of Directors, Full Professor, Université de Montréal
Yoshua Bengio
Yoshua Bengio

Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning.

Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. CIFAR’s Learning in Machines & Brains Program Co-Director, he is also the founder and scientific director of Mila, the Quebec Artificial Intelligence Institute, the world’s largest university-based research group in deep learning.

In 2018, Yoshua Bengio ranked as the computer scientist with the most new citations worldwide, thanks to his many high-impact contributions.

In 2019, he received the Killam Prize and the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.

Concerned about the social impacts of this new technology, he actively contributed to the development of the Montreal Declaration for Responsible Development of Artificial Intelligence.

Visit Yoshua Bengio’s website

Publications

2020-10

The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach
Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau and Yoshua Bengio
Journal of Artificial Intelligence Research
(2020-10-27)
dblp.uni-trier.dePDF
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)
arxiv.orgPDF
NU-GAN: High resolution neural upsampling with GAN
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio and Aaron Courville
arXiv preprint arXiv:2010.11362
(2020-10-22)
arxiv.orgPDF
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville and Yoshua Bengio
Communications of The ACM
(2020-10-22)
link.springer.com
Cross-Modal Information Maximization for Medical Imaging: CMIM
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm and Yoshua Bengio
arXiv preprint arXiv:2010.10593
(2020-10-20)
arxiv.orgPDF
GraphMix: Improved Training of GNNs for Semi-Supervised Learning.
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv: Learning
(2020-10-11)
arxiv.orgPDF
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio and Jian Tang
arXiv preprint arXiv:2010.04029
(2020-10-08)
arxiv.orgPDF

2020-08

Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon
Yoshua Bengio, Andrea Lodi and Antoine Prouvost
European Journal of Operational Research
(2020-08-08)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]

2020-07

Deriving Differential Target Propagation from Iterating Approximate Inverses
arXiv preprint arXiv:2007.15139
(2020-07-29)
arxiv.orgPDF
Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning
Joseph Paul Cohen, Lan Dao, Karsten Roth, Paul Morrison, Yoshua Bengio, Almas F. Abbasi, Beiyi Shen, Hoshmand Kochi Mahsa, Marzyeh Ghassemi, Haifang Li, Tim Duong, Cohen J, Dao L, Roth K, Morrison P, Bengio Y, Abbasi A F, Shen B, Mahsa H, Ghassemi M... (2 more)
Cureus
(2020-07-28)
www.cureus.comPDF
BabyAI 1.1.
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv preprint arXiv:2007.12770
(2020-07-24)
dblp.uni-trier.dePDF
S2RMs: Spatially Structured Recurrent Modules.
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio and Bernhard Schölkopf
arXiv preprint arXiv:2007.06533
(2020-07-13)
dblp.uni-trier.dePDF
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Haoran Wei, Yashaswi Pathak, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
ICML 2020
(2020-07-12)
icml.cc
Revisiting Fundamentals of Experience Replay
William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland and Will Dabney
Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle and Augustus Odena
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer and Yoshua Bengio
Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio and Liam Paull
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
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio and Yue Zhang
ACL 2020
(2020-07-05)
acl2020.org
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)
www.ncbi.nlm.nih.govPDF
The need for privacy with public digital contact tracing during the COVID-19 pandemic
Yoshua Bengio, Richard Janda, Yun William Yu, Daphne Ippolito, Max Jarvie, Dan Pilat, Brooke Struck, Sekoul Krastev and Abhinav Sharma
The Lancet Digital Health
(2020-07-01)
www.thelancet.com

2020-06

Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio and Michael Mozer
arXiv preprint arXiv:2006.16225
(2020-06-29)
dblp.uni-trier.dePDF
Hybrid Models for Learning to Branch.
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:2006.15212
(2020-06-26)
dblp.uni-trier.dePDF
Inherent privacy limitations of decentralized contact tracing apps.
Yoshua Bengio, Daphne Ippolito, Richard Janda, Max Jarvie, Benjamin Prud'homme, Jean-François Rousseau, Abhinav Sharma and Yun William Yu
Journal of the American Medical Informatics Association
(2020-06-25)
www.ncbi.nlm.nih.gov
Rethinking Distributional Matching Based Domain Adaptation.
Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio and Kurt Keutzer
arXiv preprint arXiv:2006.13352
(2020-06-23)
dblp.uni-trier.dePDF
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy and Yoshua Bengio
CVPR 2020
(2020-06-23)
scinapse.ioPDF
HNHN: Hypergraph Networks with Hyperedge Neurons.
Yihe Dong, Will Sawin and Yoshua Bengio
arXiv: Learning
(2020-06-22)
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 preprint arXiv:2006.09471
(2020-06-16)
dblp.uni-trier.dePDF
Learning Causal Models Online.
Khurram Javed, Martha White and Yoshua Bengio
arXiv preprint arXiv:2006.07461
(2020-06-12)
dblp.uni-trier.dePDF
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier and Damien Querlioz
arXiv preprint arXiv:2006.03824
(2020-06-06)
ui.adsabs.harvard.eduPDF
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
Training End-to-End Analog Neural Networks with Equilibrium Propagation.
Jack D. Kendall, Ross D. Pantone, Kalpana Manickavasagam, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2006.01981
(2020-06-02)
dblp.uni-trier.dePDF
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks
Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira E. Kahou and Yoshua Bengio
CVPR 2020
(2020-06-01)
openaccess.thecvf.comPDF

2020-05

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li and Tim Q Duong
arXiv preprint arXiv:2005.11856
(2020-05-24)
arxiv.orgPDF
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)
dblp.uni-trier.dePDF
COVI White Paper.
Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck... (3 more)
arXiv preprint arXiv:2005.08502
(2020-05-18)
dblp.uni-trier.dePDF
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio and Yue Zhang
arXiv preprint arXiv:2005.05864
(2020-05-12)
aps.arxiv.orgPDF

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.dePDF
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sebastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
ICLR 2020
(2020-04-30)
iclr.cc
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Anirudh Goyal, Yoshua Bengio, Matthew Botvinick and Sergey Levine
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine and Yoshua Bengio
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2005.04169
(2020-04-29)
ui.adsabs.harvard.eduPDF
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer and Joseph Paul Cohen
arXiv preprint arXiv:2004.13458
(2020-04-28)
128.84.21.199PDF
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:2004.12485
(2020-04-26)
aps.arxiv.orgPDF
Experience Grounds Language
Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto and Joseph P. Turian
arXiv preprint arXiv:2004.10151
(2020-04-21)
ui.adsabs.harvard.eduPDF
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensbold, Cullen O'Keefe, Mark Koren, Theo Ryffel... (39 more)
arXiv preprint arXiv:2004.07213
(2020-04-15)
ui.adsabs.harvard.eduPDF
Establishing an evaluation metric to quantify climate change image realism
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein and Yoshua Bengio
Machine Learning: Science and Technology
(2020-04-09)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1910.10143 (2019-10-22)]
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

2020-03

Object-Centric Image Generation from Layouts.
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm and Shikhar Sharma
arXiv preprint arXiv:2003.07449
(2020-03-16)
dblp.uni-trier.dePDF
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
arXiv preprint arXiv:2003.06060
(2020-03-12)
dblp.uni-trier.dePDF
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao, Xiang Jiang, Mohammad Havaei and Yoshua Bengio
arXiv preprint arXiv:2003.04382
(2020-03-09)
ui.adsabs.harvard.eduPDF
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio and Xavier Bresson
arXiv preprint arXiv:2003.00982
(2020-03-02)
dblp.uni-trier.dePDF

2020-02

On Catastrophic Interference in Atari 2600 Games
William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio and Hugo Larochelle
arXiv preprint arXiv:2002.12499
(2020-02-28)
ui.adsabs.harvard.eduPDF
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher and Yoshua Bengio
arXiv preprint arXiv:2002.09046
(2020-02-20)
ui.adsabs.harvard.eduPDF
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise and Yoshua Bengio
arXiv preprint arXiv:2002.06460
(2020-02-15)
ui.adsabs.harvard.eduPDF
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon, Jason Jo, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:2002.05120
(2020-02-12)
ui.adsabs.harvard.eduPDF
Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
Victor Schmidt, Mustafa Alghali, Kris Sankaran, Tianle Yuan and Yoshua Bengio
arXiv preprint arXiv:2002.07579
(2020-02-10)
export.arxiv.orgPDF
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon and Andreas Moshovos
arXiv preprint arXiv:2002.03090
(2020-02-08)
dblp.uni-trier.dePDF
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados and Yoshua Bengio
arXiv preprint arXiv:2002.02887
(2020-02-07)
ui.adsabs.harvard.eduPDF
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 preprint arXiv:2002.00412
(2020-02-02)
dblp.uni-trier.dePDF

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.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
On the interplay between noise and curvature and its effect on optimization and generalization.
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio and Nicolas Le Roux
AISTATS 2020
(2020-01-01)
proceedings.mlr.press
Toward Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
Neural Computation
(2020-01-01)
ui.adsabs.harvard.eduPDF
Compositional Generalization by Factorizing Alignment and Translation.
Jacob Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
ACL 2020
(2020-01-01)
www.aclweb.org

2019-12

Learning from Learning Machines: Optimisation, Rules, and Social Norms
Travis LaCroix and Yoshua Bengio
arXiv preprint arXiv:2001.00006
(2019-12-29)
dblp.uni-trier.dePDF
On the Morality of Artificial Intelligence.
Alexandra Luccioni and Yoshua Bengio
arXiv preprint arXiv:1912.11945
(2019-12-26)
dblp.uni-trier.dePDF
A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs.
Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel and Sriram Sankaranarayanan
CPAIOR 2019
(2019-12-17)
dblp.uni-trier.dePDF
A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs.
Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel and Sriram Sankaranarayanan
arXiv preprint arXiv:1912.08112
(2019-12-17)
dblp.uni-trier.dePDF
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
ByungIn Yoo, Tristan Sylvain, Yoshua Bengio and Junmo Kim
arXiv preprint arXiv:1912.06994
(2019-12-15)
ui.adsabs.harvard.eduPDF
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
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
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Alex Lamb, vikas verma, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio and Chris Pal
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Damien Querlioz and Julie Grollier
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit, 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
Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud and Yoshua Bengio
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté and R Devon Hjelm
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine and Pierre Sermanet
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio and Aaron Courville
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
Jessica Thompson, Yoshua Bengio and Marc Schoenwiesner
2019 Conference on Cognitive Computational Neuroscience
(2019-12-04)
dblp.uni-trier.dePDF
Applying Knowledge Transfer for Water Body Segmentation in Peru.
Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran and Yoshua Bengio
arXiv preprint arXiv:1912.00957
(2019-12-02)
dblp.uni-trier.dePDF
Automated curriculum generation for Policy Gradients from Demonstrations.
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert and Yoshua Bengio
arXiv preprint arXiv:1912.00444
(2019-12-01)
dblp.uni-trier.dePDF

2019-11

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong and Yoshua Bengio
arXiv preprint arXiv:1911.07421
(2019-11-18)
dblp.uni-trier.dePDF
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)]
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio and Adam Trischler

2019-10

Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.09570
(2019-10-21)
dblp.uni-trier.dePDF
Predicting ice flow using machine learning.
Yimeng Min, S. Karthik Mukkavilli and Yoshua Bengio
arXiv preprint arXiv:1910.08922
(2019-10-20)
dblp.uni-trier.dePDF
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
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
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

SPECTRA: Sparse Entity-centric Transitions
Rim Assouel and Yoshua Bengio
(venue unknown)
(2019-09-25)
openreview.netPDF
{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio and Joseph Paul Cohen
(venue unknown)
(2019-09-25)
openreview.netPDF
HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion
Michel Deudon, Alfredo Kalaitzis, Rifat Arefin, Israel Goytom, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E Kahou, Julien Cornebise and Yoshua Bengio
(venue unknown)
(2019-09-25)
openreview.netPDF
Equilibrium Propagation with Continual Weight Updates
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:2005.04168
(2019-09-25)
dblp.uni-trier.dePDF
Underwhelming Generalization Improvements From Controlling Feature Attribution
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.00199
(2019-09-25)
dblp.uni-trier.dePDF
Learning Neural Causal Models from Unknown Interventions.
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stephan Bauer, Hugol Larochelle, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1910.01075
(2019-09-25)
ui.adsabs.harvard.eduPDF
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv preprint arXiv:1909.11715
(2019-09-25)
ui.adsabs.harvard.eduPDF
Recurrent Independent Mechanisms.
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio and Bernhard Schölkopf
arXiv preprint arXiv:1909.10893
(2019-09-25)
ui.adsabs.harvard.eduPDF
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier and Yoshua Bengio
arXiv preprint arXiv:1909.00949
(2019-09-25)
ui.adsabs.harvard.eduPDF
Avoidance Learning Using Observational Reinforcement Learning
David Venuto, Leonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio and Doina Precup
arXiv preprint arXiv:1909.11228
(2019-09-24)
ui.adsabs.harvard.eduPDF
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
Torchmeta: A Meta-Learning library for PyTorch
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen and Yoshua Bengio
arXiv preprint arXiv:1909.06576
(2019-09-14)
ui.adsabs.harvard.eduPDF

2019-08

Interpolation Consistency Training for Semi-supervised Learning
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio and David Lopez-Paz

2019-07

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar and Yoshua Bengio
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
arXiv preprint arXiv:1907.03179
(2019-07-06)
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

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)
arxiv.org
Information matrices and generalization
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio and Nicolas Le Roux
(venue unknown)
(2019-06-18)
research.googlePDF
Conditional Computation for Continual Learning
Min Lin, Jie Fu and Yoshua Bengio
arXiv preprint arXiv:1906.06635
(2019-06-16)
ui.adsabs.harvard.eduPDF
Learning Powerful Policies by Using Consistent Dynamics Model.
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine and Jian Tang
arXiv preprint arXiv:1906.04355
(2019-06-11)
dblp.uni-trier.dePDF
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig... (2 more)
arXiv preprint arXiv:1906.05433
(2019-06-10)
ui.adsabs.harvard.eduPDF
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio and Michael Mozer
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
GMNN: Graph Markov Neural Networks
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz and Yoshua Bengio
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio and Aaron Courville

2019-05

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio and Benjamin Scellier
arXiv preprint arXiv:1905.13633
(2019-05-31)
arxiv.orgPDF
Attention Based Pruning for Shift Networks
Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux and Yoshua Bengio
arXiv preprint arXiv:1905.12300
(2019-05-27)
hal.archives-ouvertes.frPDF
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio and Michael C. Mozer
arXiv preprint arXiv:1905.11382
(2019-05-26)
arxiv.orgPDF
The Journey is the Reward: Unsupervised Learning of Influential Trajectories.
Jonathan Binas, Sherjil Ozair and Yoshua Bengio
arXiv preprint arXiv:1905.09334
(2019-05-22)
dblp.uni-trier.dePDF
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
Reproducibility in Machine Learning
Nan Rosemary Ke, Alex Lamb, Anirudh Goyal Alias Parth Goyal, Aaron Courville and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.cc
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.ccPDF
Modeling the Long Term Future in Model-Based Reinforcement Learning
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal Alias Parth Goyal, Yoshua Bengio, Devi Parikh and Dhruv Batra
ICLR 2019
(2019-05-06)
iclr.ccPDF
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanellu, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.ccPDF
AI for Social Good
Margaux Luck, Joseph Paul Cohen, Myriam Cote, Kris Sankaran, Sean McGregor, Virgile Sylvain, Jonnie Penn, Tristan Sylvain, Geneviève Boucher, Rayid Ghani, Yoshua Bengio and Kentaro Toyama
ICLR 2019
(2019-05-06)
iclr.cc
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio and Christopher Pal
ICLR 2019
(2019-05-06)
iclr.ccPDF
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal Alias Parth Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.ccPDF
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal Alias Parth Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy Lillicrap, Sergey Levine, Hugo Larochelle and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.ccPDF
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
Ali Farshchian, Juan Álvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E Miller and Sara A Solla
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio and Amos Storkey
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien H Nguyen and Yoshua Bengio
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Combes, Adam Trischler, Yoshua Bengio and Geoffrey Gordon
Deep Graph Infomax
Petar Veličković, William Fedus, William L Hamilton, Pietro 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
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes and Yoshua Bengio
arXiv preprint arXiv:1905.03709
(2019-05-02)
ui.adsabs.harvard.eduPDF
A 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

Compositional generalization in a deep seq2seq model by separating syntax and semantics.
Jake Russin, Jason Jo, Randall C. O'Reilly and Yoshua Bengio
arXiv preprint arXiv:1904.09708
(2019-04-22)
dblp.uni-trier.dePDF
GradMask: Reduce Overfitting by Regularizing Saliency.
Becks Simpson, Francis Dutil, Yoshua Bengio and Joseph Paul Cohen
International Conference on Medical Imaging with Deep Learning -- Extended Abstract Track
(2019-04-16)
dblp.uni-trier.dePDF[Also on arXiv preprint arXiv:1904.07478 (2019-04-16)]
Reinforced Imitation in Heterogeneous Action Space.
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn and Pedro O. Pinheiro
arXiv preprint arXiv:1904.03438
(2019-04-06)
ui.adsabs.harvard.eduPDF
Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks.
Santiago Pascual, Mirco Ravanelli, Joan Serrà, Antonio Bonafonte and Yoshua Bengio

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.orgPDF
Towards Standardization of Data Licenses: The Montreal Data License
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio and Alex Shee
arXiv preprint arXiv:1903.12262
(2019-03-21)
ui.adsabs.harvard.eduPDF
Online continual learning with no task boundaries.
Rahaf Aljundi, Min Lin, Baptiste Goujaud and Yoshua Bengio
(venue unknown)
(2019-03-20)
dblp.uni-trier.dePDF
Gated Orthogonal Recurrent Units: On Learning to Forget
Li Jing, Caglar Gulcehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic and Yoshua Bengio
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio and Christopher Pal
arXiv preprint arXiv:1903.02709
(2019-03-07)
aps.arxiv.org
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future.
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh and Dhruv Batra
arXiv preprint arXiv:1903.01599
(2019-03-05)
dblp.uni-trier.dePDF

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.eduPDF

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)
arxiv.orgPDF
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)
export.arxiv.orgPDF
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou and Yoshua Bengio
Combined Reinforcement Learning via Abstract Representations
vincent francois-lavet, Yoshua Bengio, Doina Precup and Joelle Pineau
Maximum Entropy Generators for Energy-Based Models.
Rithesh Kumar, Anirudh Goyal, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1901.08508
(2019-01-24)
dblp.uni-trier.dePDF
Equivalence of Equilibrium Propagation and Recurrent Backpropagation.
Benjamin Scellier and Yoshua Bengio
The Benefits of Over-parameterization at Initialization in Deep ReLU Networks
Devansh Arpit and Yoshua Bengio
arXiv preprint arXiv:1901.03611
(2019-01-11)
dblp.uni-trier.dePDF
InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio and Sergey Levine
(venue unknown)
(2019-01-01)
research.google

2018-12

Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks.
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia and Yoshua Bengio
arXiv preprint arXiv:1812.11337
(2018-12-25)
hal.archives-ouvertes.frPDF
Speech and Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli and Yoshua Bengio
arXiv preprint arXiv:1812.05920
(2018-12-13)
ui.adsabs.harvard.eduPDF
The effects of negative adaptation in Model-Agnostic Meta-Learning
Tristan Deleu and Yoshua Bengio
arXiv preprint arXiv:1812.02159
(2018-12-05)
ui.adsabs.harvard.eduPDF
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Nan Ke, Anirudh Goyal Alias Parth Goyal, Olexa Bilaniuk, Jonathan Binas, Michael Mozer, Chris Pal and Yoshua Bengio
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio and Sungjin Ahn
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
MetaGAN: An Adversarial Approach to Few-Shot Learning
Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio and Yangqiu Song
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Dendritic cortical microcircuits approximate the backpropagation algorithm
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
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

Keep Drawing It: Iterative language-based image generation and editing.
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio and Graham W. Taylor
(venue unknown)
(2018-11-24)
www.microsoft.comPDF
Interpretable Convolutional Filters with SincNet
Mirco Ravanelli and Yoshua Bengio
arXiv preprint arXiv:1811.09725
(2018-11-23)
ui.adsabs.harvard.eduPDF
On Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:1811.07017
(2018-11-16)
arxiv.orgPDF

2018-10

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
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
Deep Learning. Das umfassende Handbuch
Ian Goodfellow, Yoshua Bengio and Aaron Courville
(venue unknown)
(2018-10-10)
content-select.com
h-detach: Modifying the LSTM Gradient Towards Better Optimization.
Devansh Arpit, Bhargav Kanuparthi, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas and Yoshua Bengio
arXiv preprint arXiv:1810.03023
(2018-10-06)
arxiv.org
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

2018-09

EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models
Rithesh Kumar, Anirudh Goyal, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
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
Towards the Latent Transcriptome
Assya Trofimov, Francis Dutil, Claude Perreault, Sebastien Lemieux, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1810.03442
(2018-09-27)
dblp.uni-trier.dePDF
Unsupervised one-to-many image translation
Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikołaj Bińkowski, Aaron Courville, Yoshua Bengio and R Devon Hjelm
(venue unknown)
(2018-09-27)
openreview.netPDF
Convergence Properties of Deep Neural Networks on Separable Data
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation
Rim Assouel, Mohamed Ahmed, Marwin H. S. Segler, Amir Saffari and Yoshua Bengio
arXiv preprint arXiv:1811.09766
(2018-09-27)
dblp.uni-trier.dePDF
Universal Successor Features for Transfer Reinforcement Learning
Chen Ma, Dylan R. Ashley, Junfeng Wen and Yoshua Bengio
arXiv preprint arXiv:2001.04025
(2018-09-27)
dblp.uni-trier.dePDF
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas and Yoshua Bengio
arXiv preprint arXiv:1804.02485
(2018-09-27)
dblp.uni-trier.dePDF
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Aaron Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-09-27)
arxiv.org
How can deep learning advance computational modeling of sensory information processing
Jessica A. F. Thompson, Yoshua Bengio, Elia Formisano and Marc Schönwiesner
arXiv preprint arXiv:1810.08651
(2018-09-25)
ui.adsabs.harvard.eduPDF
On the Learning Dynamics of Deep Neural Networks.
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1809.06848
(2018-09-18)
dblp.uni-trier.dePDF
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1809.03702
(2018-09-11)
arxiv.orgPDF

2018-08

Generalization of Equilibrium Propagation to Vector Field Dynamics.
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard and Yoshua Bengio
arXiv preprint arXiv:1808.04873
(2018-08-14)
dblp.uni-trier.dePDF

2018-07

Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
arXiv preprint arXiv:1901.07935
(2018-07-31)
aps.arxiv.orgPDF
Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning.
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
arXiv: Learning
(2018-07-31)
dblp.uni-trier.dePDF
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli and Yoshua Bengio
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 preprint arXiv:1807.04723
(2018-07-12)
ui.adsabs.harvard.eduPDF
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Ke, Konrad Zolna, Alessandro Sordoni, Mila Zhouhan Lin, Yoshua Bengio, Joelle Pineau, Laurent Charlin and Christopher Pal
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Mutual Information Neural Estimator
Mohamed Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R Devon Hjelm and Aaron Courville
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
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

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
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
Modularity Matters: Learning Invariant Relational Reasoning Tasks
Jason Jo, Vikas Verma and Yoshua Bengio
arXiv preprint arXiv:1806.06765
(2018-06-18)
ui.adsabs.harvard.eduPDF
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko and Yoshua Bengio
arXiv preprint arXiv:1806.06975
(2018-06-18)
dblp.uni-trier.dePDF
Manifold Mixup: Better Representations by Interpolating Hidden States.
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, Aaron Courville, David Lopez-Paz and Yoshua Bengio
arXiv preprint arXiv:1806.05236
(2018-06-13)
arxiv.orgPDF
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-06-13)
dblp.uni-trier.dePDF
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori and Yoshua Bengio
arXiv preprint arXiv:1806.04418
(2018-06-12)
ui.adsabs.harvard.eduPDF
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin and Chris Pal
arXiv preprint arXiv:1806.04342
(2018-06-12)
aps.arxiv.orgPDF
Bayesian Model-Agnostic Meta-Learning
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio and Sungjin Ahn
arXiv preprint arXiv:1806.03836
(2018-06-11)
arxiv.orgPDF
Learning to rank for censored survival data.
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Heloise Cardinal, Andrea Lodi and Yoshua Bengio
arXiv preprint arXiv:1806.01984
(2018-06-06)
ui.adsabs.harvard.eduPDF
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

Generalization in Deep Learning
Kenji Kawaguchi, Leslie Pack Kaelbling and Yoshua Bengio
Mathematics of Deep Learning, Cambridge University Press. Prepint avaliable as: MIT-CSAIL-TR-2018-014, Massachusetts Institute of Technology
(2018-05-01)
lis.csail.mit.eduPDF

2018-04

Low-memory convolutional neural networks through incremental depth-first processing.
Jonathan Binas and Yoshua Bengio
arXiv preprint arXiv:1804.10727
(2018-04-28)
dblp.uni-trier.dePDF
Twin Regularization for online speech recognition
Mirco Ravanelli, Dmitriy Serdyuk and Yoshua Bengio
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Joao F. Santos, Gerald Schuller, Tuomas Virtanen and Yoshua Bengio
ICASSP 2018
(2018-04-13)
doi.orgPDF
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
Fine-grained attention mechanism for neural machine translation
Heeyoul Choi, Kyunghyun Cho and Yoshua Bengio
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal, Philemon Brakel, William Fedus, Timothy Lillicrap, Sergey Levine, Hugo Larochelle and Yoshua Bengio
arXiv preprint arXiv:1804.00379
(2018-04-02)
export.arxiv.orgPDF
Commonsense mining as knowledge base completion? A study on the impact of novelty
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 preprint arXiv:1804.09259 (2018-04-24)]
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu and Yoshua Bengio
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2018-04-01)
europepmc.org

2018-03

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

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.eduPDF
A Walk with SGD.
Chen Xing, Devansh Arpit, Christos Tsirigotis and Yoshua Bengio
arXiv preprint arXiv:1802.08770
(2018-02-24)
dblp.uni-trier.dePDF
Towards End-to-end Spoken Language Understanding
Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu and Yoshua Bengio
Generalization in Machine Learning via Analytical Learning Theory
Kenji Kawaguchi and Yoshua Bengio
arXiv preprint arXiv:1802.07426
(2018-02-21)
ui.adsabs.harvard.eduPDF
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1711.02326
(2018-02-15)
ui.adsabs.harvard.eduPDF
Extending the Framework of Equilibrium Propagation to General Dynamics
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard and Yoshua Bengio
ICLR 2018
(2018-02-15)
dblp.uni-trier.dePDF
Image Segmentation by Iterative Inference from Conditional Score Estimation
Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou and Yoshua Bengio
arXiv preprint arXiv:1705.07450
(2018-02-15)
dblp.uni-trier.dePDF
Learning Generative Models with Locally Disentangled Latent Factors
Brady Neal, Alex Lamb, Sherjil Ozair, Devon Hjelm, Aaron Courville, Yoshua Bengio and Ioannis Mitliagkas
(venue unknown)
(2018-02-15)
openreview.netPDF
Boundary Seeking GANs
R Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.microsoft.comPDF
Variance Regularizing Adversarial Learning
Karan Grewal, R Devon Hjelm and Yoshua Bengio
arXiv preprint arXiv:1707.00309
(2018-02-15)
128.84.21.199PDF
Combining Model-based and Model-free RL via Multi-step Control Variates
Tong Che, Yuchen Lu, George Tucker, Surya Bhupatiraju, Shane Gu, Sergey Levine and Yoshua Bengio
(venue unknown)
(2018-02-15)
openreview.netPDF
Learning to Compute Word Embeddings On the Fly
Dzmitry Bahdanau, Tom Bosc, Stanisław Jastrzębski, Edward Grefenstette, Pascal Vincent and Yoshua Bengio
arXiv preprint arXiv:1706.00286
(2018-02-15)
ui.adsabs.harvard.eduPDF
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel and Yoshua Bengio
arXiv preprint arXiv:1710.05050
(2018-02-15)
openreview.netPDF
Fraternal Dropout
Konrad Zolna, Devansh Arpit, Dendi Suhubdy and Yoshua Bengio
ICLR 2018
(2018-02-15)
openreview.netPDF
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler and Yoshua Bengio
ICLR 2018
(2018-02-15)
www.microsoft.comPDF
Three factors influencing minima in SGD
Stanisław Jastrzębski, Zac Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Amos Storkey and Yoshua Bengio
arXiv preprint arXiv:1711.04623
(2018-02-15)
128.84.21.199PDF
Residual Connections Encourage Iterative Inference
Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio and Christopher J Pal
Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joao Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio and Christopher J Pal
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Graph Priors for Deep Neural Networks
Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko and Yoshua Bengio
(venue unknown)
(2018-02-12)
openreview.netPDF
Finding Flatter Minima with SGD
Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio and Amos J. Storkey
ICLR 2018
(2018-02-12)
dblp.uni-trier.dePDF
Universal Successor Representations for Transfer Reinforcement Learning
Chen Ma, Junfeng Wen and Yoshua Bengio
ChatPainter: Improving Text to Image Generation using Dialogue
Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou and Yoshua Bengio
Learning 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
A Deep Reinforcement Learning Chatbot (Short Version)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau and Yoshua Bengio
arXiv preprint arXiv:1801.06700
(2018-01-20)
ui.adsabs.harvard.eduPDF
A3T: Adversarially Augmented Adversarial Training.
Akram Erraqabi, Aristide Baratin, Yoshua Bengio and Simon Lacoste-Julien
arXiv preprint arXiv:1801.04055
(2018-01-12)
ui.adsabs.harvard.eduPDF
BigBrain: 1D convolutional neural networks for automated sementation of cortical layers
K. Wagstyl, C. Lepage, Karl Zilles, Sebastian Bludau, G. Cucurul, A. C. Evans, P. Fletcher, A. Romero, J. Cohen, S. Larocque, T. Funck, Katrin Amunts and Y. Bengio
2018 Annual Meeting of the Organization of Human Brain Mapping (OHBM)
(2018-01-01)
juser.fz-juelich.de
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences.
Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni and Yoshua Bengio
ACL 2018
(2018-01-01)
www.aclweb.org
The First Conversational Intelligence Challenge
Mikhail Burtsev, Varvara Logacheva, Valentin Malykh, Iulian Vlad Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander Rudnicky and Yoshua Bengio
(venue unknown)
(2018-01-01)
link.springer.com
Introduction to NIPS 2017 Competition Track
Sergio Escalera, Markus Weimer, Mikhail Burtsev, Valentin Malykh, Varvara Logacheva, Ryan Lowe, Iulian Vlad Serban, Yoshua Bengio, Alexander Rudnicky, Alan W. Black, Shrimai Prabhumoye, 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
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks
Thomas Mesnard, Gaëtan Vignoud, João Sacramento, Walter Senn and Yoshua Bengio
2018 Conference on Cognitive Computational Neuroscience
(2018-01-01)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:1911.08585 (2019-11-15)]

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