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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

* Accepted at ICLR'21 

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Neural Production Systems


Mar 02, 2021
Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio


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Coordination Among Neural Modules Through a Shared Global Workspace


Mar 01, 2021
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio


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Towards Causal Representation Learning


Feb 22, 2021
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio

* Special Issue of Proceedings of the IEEE - Advances in Machine Learning and Deep Neural Networks 

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On the Convergence of Continuous Constrained Optimization for Structure Learning


Dec 16, 2020
Ignavier Ng, SĂ©bastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien

* NeurIPS 2020 Workshop on Causal Discovery and Causality-Inspired Machine Learning 

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Amortized learning of neural causal representations


Aug 21, 2020
Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende

* ICLR 2020 causal learning for decision making workshop 

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Causally Correct Partial Models for Reinforcement Learning


Feb 07, 2020
Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing


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Learning Neural Causal Models from Unknown Interventions


Oct 02, 2019
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio


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Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future


Mar 16, 2019
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra

* To appear at ICLR 2019 

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Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding


Sep 11, 2018
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio

* To appear as a Spotlight presentation at NIPS 2018 

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Focused Hierarchical RNNs for Conditional Sequence Processing


Jun 12, 2018
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal

* To appear at ICML 2018 

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Twin Networks: Matching the Future for Sequence Generation


Feb 23, 2018
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio

* 12 pages, 3 figures, published at ICLR 2018 

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A Deep Reinforcement Learning Chatbot (Short Version)


Jan 20, 2018
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio

* 9 pages, 1 figure, 2 tables; presented at NIPS 2017, Conversational AI: "Today's Practice and Tomorrow's Potential" Workshop 

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Ethical Challenges in Data-Driven Dialogue Systems


Nov 24, 2017
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau

* In Submission to the AAAI/ACM conference on Artificial Intelligence, Ethics, and Society 

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Z-Forcing: Training Stochastic Recurrent Networks


Nov 16, 2017
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio

* To appear in NIPS'17 

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ACtuAL: Actor-Critic Under Adversarial Learning


Nov 13, 2017
Anirudh Goyal, Nan Rosemary Ke, Alex Lamb, R Devon Hjelm, Chris Pal, Joelle Pineau, Yoshua Bengio


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Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks


Nov 07, 2017
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio


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Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net


Nov 07, 2017
Anirudh Goyal, Nan Rosemary Ke, Surya Ganguli, Yoshua Bengio

* To appear at NIPS 2017 

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A Deep Reinforcement Learning Chatbot


Nov 05, 2017
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeshwar, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio

* 40 pages, 9 figures, 11 tables 

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Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations


Sep 22, 2017
David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron Courville, Chris Pal

* David Krueger and Tegan Maharaj contributed equally to this work 

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Cascading Bandits for Large-Scale Recommendation Problems


Jun 30, 2016
Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton

* Accepted to UAI 2016 

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Task Loss Estimation for Sequence Prediction


Jan 19, 2016
Dzmitry Bahdanau, Dmitriy Serdyuk, Philémon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron Courville, Yoshua Bengio

* Submitted to ICLR 2016 

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Transferring Knowledge from a RNN to a DNN


Apr 07, 2015
William Chan, Nan Rosemary Ke, Ian Lane


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