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Yoshua Bengio

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models


Dec 28, 2021
Enoch Tetteh, Joseph Viviano, Yoshua Bengio, David Krueger, Joseph Paul Cohen

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* MED-NEURIPS 2021 
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Multi-Domain Balanced Sampling Improves Out-of-Generalization of Chest X-ray Pathology Prediction Models


Dec 27, 2021
Enoch Tetteh, Joseph Viviano, Yoshua Bengio, David Krueger, Joseph Paul Cohen

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* MED-NEURIPS 2021 
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Multi-scale Feature Learning Dynamics: Insights for Double Descent


Dec 06, 2021
Mohammad Pezeshki, Amartya Mitra, Yoshua Bengio, Guillaume Lajoie

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GFlowNet Foundations


Nov 17, 2021
Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio

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Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning


Oct 29, 2021
Kartik Ahuja, Jason Hartford, Yoshua Bengio

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From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence


Oct 28, 2021
Nicholas Roy, Ingmar Posner, Tim Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Dan Koditschek, Tomas Lozano-Perez, Vikash Mansinghka, Christopher Pal, Blake Richards, Dorsa Sadigh, Stefan Schaal, Gaurav Sukhatme, Denis Therien, Marc Toussaint, Michiel Van de Panne

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Chunked Autoregressive GAN for Conditional Waveform Synthesis


Oct 19, 2021
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron Courville, Yoshua Bengio

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* Under review as a conference paper at ICLR 2022 
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Compositional Attention: Disentangling Search and Retrieval


Oct 18, 2021
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie

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Graph Neural Networks with Learnable Structural and Positional Representations


Oct 15, 2021
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson

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* Code at https://github.com/vijaydwivedi75/gnn-lspe 
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Dynamic Inference with Neural Interpreters


Oct 12, 2021
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf

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* NeurIPS 2021 
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ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods


Oct 06, 2021
Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernandez-Garcia, Yoshua Bengio

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Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond


Oct 06, 2021
Dinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron Courville

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Learning Neural Causal Models with Active Interventions


Sep 06, 2021
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke

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The Causal-Neural Connection: Expressiveness, Learnability, and Inference


Jul 14, 2021
Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim

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* 10 pages main body (53 total pages with references and appendix), 5 figures in main body (20 total figures including appendix) 
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Discrete-Valued Neural Communication


Jul 10, 2021
Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio

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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning


Jul 02, 2021
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Rezende, Yoshua Bengio, Michael Mozer, Christopher Pal

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The Causal Neural Connection: Expressiveness, Learnability, and Inference


Jul 02, 2021
Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim

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* 10 pages main body (53 total pages with references and appendix), 5 figures in main body (20 total figures including appendix) 
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Predicting Unreliable Predictions by Shattering a Neural Network


Jun 15, 2021
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio

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Variational Causal Networks: Approximate Bayesian Inference over Causal Structures


Jun 14, 2021
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer

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* 10 pages, 6 figures 
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Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization


Jun 11, 2021
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish

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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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