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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

* 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

* 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

* 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

* 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 SÅ‚owik, 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

* 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

* Preprint 

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Deriving Differential Target Propagation from Iterating Approximate Inverses

Aug 17, 2020
Yoshua Bengio

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Mastering Rate based Curriculum Learning

Aug 14, 2020
Lucas Willems, Salem Lahlou, Yoshua Bengio

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BabyAI 1.1

Jul 24, 2020
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

* 9 pages, 1 figure, technical report 

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Revisiting Fundamentals of Experience Replay

Jul 13, 2020
William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney

* Published at ICML 2020. First two authors contributed equally and code available at 

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S2RMs: Spatially Structured Recurrent Modules

Jul 13, 2020
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf

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Rethinking Distributional Matching Based Domain Adaptation

Jul 03, 2020
Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

* Preprint version 

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Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems

Jun 30, 2020
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer

* Under Review, NeurIPS 2020 

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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules

Jun 30, 2020
Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio

* ICML 2020 

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Hybrid Models for Learning to Branch

Jun 26, 2020
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi, Yoshua Bengio

* Preprint. Under review 

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Image-to-image Mapping with Many Domains by Sparse Attribute Transfer

Jun 23, 2020
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio

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HNHN: Hypergraph Networks with Hyperedge Neurons

Jun 22, 2020
Yihe Dong, Will Sawin, Yoshua Bengio

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Untangling tradeoffs between recurrence and self-attention in neural networks

Jun 16, 2020
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio, Guillaume Lajoie

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Learning Causal Models Online

Jun 12, 2020
Khurram Javed, Martha White, Yoshua Bengio

* Spurious features, causal models, online learning, random search, non-iid 

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