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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 SŇāowik, 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 Tr√§uble, Anirudh Goyal, Alexander Neitz, Manuel W√ľthrich, Yoshua Bengio, Bernhard Sch√∂lkopf, 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 https://github.com/google-research/google-research/tree/master/experience_replay 

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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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Training End-to-End Analog Neural Networks with Equilibrium Propagation

Jun 09, 2020
Jack Kendall, Ross Pantone, Kalpana Manickavasagam, Yoshua Bengio, Benjamin Scellier


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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

Jun 06, 2020
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, Tim Q Duong

* This work has been submitted to Radiology: Artificial Intelligence for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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

Jun 06, 2020
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz


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Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

May 20, 2020
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, Yoshua Bengio

* added the statistics of top-100 compounds used logP metric with scaled components added values of the initial reactants to the box plots some values in tables are recalculated due to the inconsistent environments on different machines. corresponding benchmarks were rerun with the requirements on github. no significant changes in the results. corrected figures in the Appendix 

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An Analysis of the Adaptation Speed of Causal Models

May 18, 2020
Rémi Le Priol, Reza Babanezhad Harikandeh, Yoshua Bengio, Simon Lacoste-Julien

* 22 pages, 8 figures 

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