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Yoshua Bengio

SpeechBrain: A General-Purpose Speech Toolkit


Jun 08, 2021
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, Yoshua Bengio

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* Preprint 
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Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation


Jun 08, 2021
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, Yoshua Bengio

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* Submitted to NeurIPS 2021 
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A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning


Jun 03, 2021
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio

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An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming


Jun 02, 2021
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli, Jian Tang

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* Accepted by ICML 2021 
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Fast and Slow Learning of Recurrent Independent Mechanisms


May 19, 2021
Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio

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* Accepted at ICLR'21 
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Comparative Study of Learning Outcomes for Online Learning Platforms


Apr 15, 2021
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, Ekaterina Kochmar

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* 14 pages, 3 figures, 2 tables, accepted at AIED 2021 (2021 Conference on Artificial Intelligence in Education) 
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hBert + BiasCorp -- Fighting Racism on the Web


Apr 06, 2021
Olawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu, Yoshua Bengio

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Neural Production Systems


Mar 02, 2021
Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio

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Coordination Among Neural Modules Through a Shared Global Workspace


Mar 01, 2021
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio

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Learning Neural Generative Dynamics for Molecular Conformation Generation


Feb 28, 2021
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang

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* Accepted by ICLR 2021 
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Transformers with Competitive Ensembles of Independent Mechanisms


Feb 27, 2021
Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli, Yoshua Bengio

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* Under Review, ICML 2021 
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Towards Causal Representation Learning


Feb 22, 2021
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio

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* Special Issue of Proceedings of the IEEE - Advances in Machine Learning and Deep Neural Networks 
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DEUP: Direct Epistemic Uncertainty Prediction


Feb 16, 2021
Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio

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Structured Sparsity Inducing Adaptive Optimizers for Deep Learning


Feb 07, 2021
Tristan Deleu, Yoshua Bengio

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Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias


Jan 14, 2021
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz

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* NeurIPS 2020 Workshop : "Beyond Backpropagation Novel Ideas for Training Neural Architectures". arXiv admin note: substantial text overlap with arXiv:2006.03824 
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Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya


Dec 09, 2020
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio

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* Accepted for a spotlight talk and a poster at the Tackling Climate Change with Machine Learning workshop at NeurIPS 2020 
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Inductive Biases for Deep Learning of Higher-Level Cognition


Dec 07, 2020
Anirudh Goyal, Yoshua Bengio

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* This document contains a review of authors research as part of the requirement of AG's predoctoral exam, an overview of the main contributions of the authors few recent papers (co-authored with several other co-authors) as well as a vision of proposed future research 
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RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design


Nov 25, 2020
Cheng-Hao Liu, Maksym Korablyov, Stanisław Jastrzębski, Paweł Włodarczyk-Pruszyński, Yoshua Bengio, Marwin H. S. Segler

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* Machine Learning for Molecules Workshop at NeurIPS 2020 
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Gradient Starvation: A Learning Proclivity in Neural Networks


Nov 23, 2020
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup, Guillaume Lajoie

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COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing


Oct 30, 2020
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, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Pal, Joanna Merckx, Eilif B. Muller, Yoshua Bengio

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Predicting Infectiousness for Proactive Contact Tracing


Oct 23, 2020
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, Abhinav Sharma, Jian Tang, Andrew Williams

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NU-GAN: High resolution neural upsampling with GAN


Oct 22, 2020
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio, Aaron Courville

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Cross-Modal Information Maximization for Medical Imaging: CMIM


Oct 20, 2020
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm, Yoshua Bengio

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Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers


Oct 15, 2020
Alex Lamb, Anirudh Goyal, Agnieszka Słowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio

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CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning


Oct 08, 2020
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer

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* The first two authors contributed equally 
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RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs


Oct 08, 2020
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang

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Visual Concept Reasoning Networks


Aug 26, 2020
Taesup Kim, Sungwoong Kim, Yoshua Bengio

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* Preprint 
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