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Anirudh Goyal

Université de Montréal

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Publication

Featured researches published by Anirudh Goyal.

international conference on learning representations | 2017

An Actor-Critic Algorithm for Sequence Prediction

Dzmitry Bahdanau; Philemon Brakel; Kelvin Xu; Anirudh Goyal; Ryan Lowe; Joelle Pineau; Aaron C. Courville; Yoshua Bengio

international conference on learning representations | 2017

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

David Krueger; Tegan Maharaj; Janos Kramar; Mohammad Pezeshki; Nicolas Ballas; Nan Rosemary Ke; Anirudh Goyal; Yoshua Bengio; Aaron C. Courville; Chris Pal

neural information processing systems | 2016

Professor Forcing: A New Algorithm for Training Recurrent Networks

Alex Lamb; Anirudh Goyal; Ying Zhang; Saizheng Zhang; Aaron C. Courville; Yoshua Bengio

neural information processing systems | 2017

Z-Forcing: Training Stochastic Recurrent Networks.

Anirudh Goyal; Alessandro Sordoni; Marc-Alexandre Côté; Nan Ke; Yoshua Bengio

international conference on learning representations | 2018

Extending the Framework of Equilibrium Propagation to General Dynamics

Benjamin Scellier; Anirudh Goyal; Jonathan Binas; Thomas Mesnard; Yoshua Bengio

arXiv: Machine Learning | 2018

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations.

Alex Lamb; Jonathan Binas; Anirudh Goyal; Dmitriy Serdyuk; Sandeep Subramanian; Ioannis Mitliagkas; Yoshua Bengio

arXiv: Learning | 2018

Recall Traces: Backtracking Models for Efficient Reinforcement Learning.

Anirudh Goyal; Philemon Brakel; William Fedus; Timothy P. Lillicrap; Sergey Levine; Hugo Larochelle; Yoshua Bengio

Archive | 2017

The Variational Walkback Algorithm

Anirudh Goyal; Nan Rosemary Ke; Alex Lamb; Yoshua Bengio

Archive | 2016

An Actor-Critic Algorithm for Structured Prediction

Dzmitry Bahdanau; Philemon Brakel; Kelvin Xu; Anirudh Goyal; Ryan Lowe; Joelle Pineau; Aaron Memisevic; Yoshua Bengio

neural information processing systems | 2018

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding

Nan Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Michael C. Mozer; Chris Pal; Yoshua Bengio

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Collaboration

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Yoshua Bengio

Université de Montréal

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Alex Lamb

Université de Montréal

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Chris Pal

École Polytechnique de Montréal

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Aaron C. Courville

Université de Montréal

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Joelle Pineau

McGill University

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Nan Ke

Université de Montréal

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Thomas Mesnard

École Normale Supérieure

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Kelvin Xu

Université de Montréal

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Olexa Bilaniuk

Université de Montréal

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Ryan Lowe

McGill University

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