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TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?

Jul 06, 2020
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau

* Presented at the Theoretical Foundations of Reinforcement Learning workshop at ICML 2020 

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Interference and Generalization in Temporal Difference Learning

Mar 13, 2020
Emmanuel Bengio, Joelle Pineau, Doina Precup

* Submitted to ICML 2020. 20 pages, 14 figures 

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Fooling the classifier: Ligand antagonism and adversarial examples

Jul 10, 2018
Thomas J. Rademaker, Emmanuel Bengio, Paul François

* 14 pages, 5 figures 

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Disentangling the independently controllable factors of variation by interacting with the world

Feb 26, 2018
Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio

* Presented at NIPS 2017 Learning Disentangling Representations Workshop 

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Independently Controllable Factors

Aug 25, 2017
Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio


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A Closer Look at Memorization in Deep Networks

Jul 01, 2017
Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, Simon Lacoste-Julien

* Appears in Proceedings of the 34th International Conference on Machine Learning (ICML 2017), Devansh Arpit, Stanis{\l}aw Jastrz\k{e}bski, Nicolas Ballas, and David Krueger contributed equally to this work 

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Independently Controllable Features

Mar 22, 2017
Emmanuel Bengio, Valentin Thomas, Joelle Pineau, Doina Precup, Yoshua Bengio

* RLDM submission 

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Conditional Computation in Neural Networks for faster models

Jan 07, 2016
Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau, Doina Precup

* ICLR 2016 submission, revised 

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