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Critic Regularized Regression

Jun 26, 2020
Ziyu Wang, Alexander Novikov, Konrad Żołna, Jost Tobias Springenberg, Scott Reed, Bobak Shahriari, Noah Siegel, Josh Merel, Caglar Gulcehre, Nicolas Heess, Nando de Freitas

* 23 pages 

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RL Unplugged: Benchmarks for Offline Reinforcement Learning

Jun 24, 2020
Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio GĂłmez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas

* 22 pages, The github link for the datasets: https://github.com/deepmind/deepmind-research/rl_unplugged 

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Acme: A Research Framework for Distributed Reinforcement Learning

Jun 01, 2020
Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alex Novikov, Sergio GĂłmez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas


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Improving the Gating Mechanism of Recurrent Neural Networks

Oct 22, 2019
Albert Gu, Caglar Gulcehre, Tom Le Paine, Matt Hoffman, Razvan Pascanu


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Stabilizing Transformers for Reinforcement Learning

Oct 13, 2019
Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell


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Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

Sep 03, 2019
Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team


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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL

Oct 19, 2018
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas


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Relational inductive biases, deep learning, and graph networks

Oct 17, 2018
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu


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Sample Efficient Adaptive Text-to-Speech

Sep 27, 2018
Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas


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Hyperbolic Attention Networks

May 24, 2018
Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas


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Plan, Attend, Generate: Planning for Sequence-to-Sequence Models

Nov 28, 2017
Francis Dutil, Caglar Gulcehre, Adam Trischler, Yoshua Bengio

* NIPS 2017 

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Gated Orthogonal Recurrent Units: On Learning to Forget

Oct 25, 2017
Li Jing, Caglar Gulcehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljačić, Yoshua Bengio


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Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder

Jun 23, 2017
Caglar Gulcehre, Francis Dutil, Adam Trischler, Yoshua Bengio

* Accepted to Rep4NLP 2017 Workshop at ACL 2017 Conference 

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Machine Comprehension by Text-to-Text Neural Question Generation

May 15, 2017
Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler


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Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes

Mar 17, 2017
Caglar Gulcehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio

* 13 pages, 3 figures 

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A Robust Adaptive Stochastic Gradient Method for Deep Learning

Mar 02, 2017
Caglar Gulcehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio

* IJCNN 2017 Accepted Paper, An extension of our paper, "ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient" 

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Memory Augmented Neural Networks with Wormhole Connections

Jan 30, 2017
Caglar Gulcehre, Sarath Chandar, Yoshua Bengio


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Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Aug 26, 2016
Ramesh Nallapati, Bowen Zhou, Cicero Nogueira dos santos, Caglar Gulcehre, Bing Xiang

* The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2016 

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Pointing the Unknown Words

Aug 21, 2016
Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio

* ACL 2016 Oral Paper 

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Mollifying Networks

Aug 17, 2016
Caglar Gulcehre, Marcin Moczulski, Francesco Visin, Yoshua Bengio


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Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

May 29, 2016
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre, Sungjin Ahn, Sarath Chandar, Aaron Courville, Yoshua Bengio

* 13 pages, 1 figure, 7 tables 

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Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

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Noisy Activation Functions

Apr 03, 2016
Caglar Gulcehre, Marcin Moczulski, Misha Denil, Yoshua Bengio


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Policy Distillation

Jan 07, 2016
Andrei A. Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell

* Submitted to ICLR 2016 

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ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient

Nov 01, 2015
Caglar Gulcehre, Marcin Moczulski, Yoshua Bengio

* 8 pages, 3 figures, ICLR workshop submission 

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Gated Feedback Recurrent Neural Networks

Jun 17, 2015
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, Yoshua Bengio

* 9 pages, removed appendix 

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On Using Monolingual Corpora in Neural Machine Translation

Jun 12, 2015
Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loic Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, Yoshua Bengio

* 9 pages, 2 figures 

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EmoNets: Multimodal deep learning approaches for emotion recognition in video

Mar 30, 2015
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, SĂ©bastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal, Yoshua Bengio


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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Dec 11, 2014
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, Yoshua Bengio

* Presented in NIPS 2014 Deep Learning and Representation Learning Workshop 

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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Sep 03, 2014
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio

* EMNLP 2014 

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