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Human-Level Performance in No-Press Diplomacy via Equilibrium Search

Oct 06, 2020
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown


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Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

Jul 27, 2020
Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong


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Residual Energy-Based Models for Text Generation

Apr 22, 2020
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato

* ICLR 2020 
* published at ICLR 2020. arXiv admin note: substantial text overlap with arXiv:2004.10188 

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Energy-Based Models for Text

Apr 06, 2020
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

* long journal version 

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Language Models as Knowledge Bases?

Sep 04, 2019
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel

* accepted at EMNLP 2019 

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PHYRE: A New Benchmark for Physical Reasoning

Aug 15, 2019
Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross Girshick


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Real or Fake? Learning to Discriminate Machine from Human Generated Text

Jun 07, 2019
Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam


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Lightweight Adaptive Mixture of Neural and N-gram Language Models

Oct 26, 2018
Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave


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Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models

Oct 26, 2017
Yanzhang He, Rohit Prabhavalkar, Kanishka Rao, Wei Li, Anton Bakhtin, Ian McGraw

* To appear in Proceedings of IEEE ASRU 2017 

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On the efficient representation and execution of deep acoustic models

Dec 17, 2016
Raziel Alvarez, Rohit Prabhavalkar, Anton Bakhtin

* Accepted conference paper: "The Annual Conference of the International Speech Communication Association (Interspeech), 2016" 

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