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On Bonus-Based Exploration Methods in the Arcade Learning Environment


Sep 22, 2021
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

* Published as a conference paper at ICLR 2020 
* Full version of arXiv:1908.02388 

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Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers


Sep 22, 2021
Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler


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Revisiting ResNets: Improved Training and Scaling Strategies


Mar 13, 2021
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph


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Do Transformer Modifications Transfer Across Implementations and Applications?


Feb 23, 2021
Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Fevry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel


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Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity


Jan 11, 2021
William Fedus, Barret Zoph, Noam Shazeer


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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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On Catastrophic Interference in Atari 2600 Games


Feb 28, 2020
William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio, Hugo Larochelle

* First two authors contributed equally. Code available to reproduce experiments at https://github.com/google-research/google-research/tree/master/memento 

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Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction


Nov 28, 2019
Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare

* To appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Accepted for Oral presentation 

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Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment


Aug 06, 2019
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

* Accepted at the second Exploration in Reinforcement Learning Workshop at the 36th International Conference on Machine Learning, Long Beach, California 

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Hyperbolic Discounting and Learning over Multiple Horizons


Feb 28, 2019
William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare, Hugo Larochelle


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Language GANs Falling Short


Nov 08, 2018
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin


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Deep Graph Infomax


Sep 27, 2018
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R Devon Hjelm

* Under review as a conference paper at ICLR 2019. 15 pages, 8 figures 

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Recall Traces: Backtracking Models for Efficient Reinforcement Learning


Apr 02, 2018
Anirudh Goyal, Philemon Brakel, William Fedus, Timothy Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio

* In Review at ICML 2018 

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MaskGAN: Better Text Generation via Filling in the______


Mar 01, 2018
William Fedus, Ian Goodfellow, Andrew M. Dai

* 16 pages, ICLR 2018 

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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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Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step


Feb 20, 2018
William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian Goodfellow

* 18 pages 

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