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Journal Articles
- 2021
[j1]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Residual Energy-Based Models for Text. J. Mach. Learn. Res. 22: 40:1-40:41 (2021)
Conference and Workshop Papers
- 2023
- [c13]Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown:
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. ICLR 2023 - 2022
- [c12]Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown:
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. ICML 2022: 9695-9728 - [c11]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. NeurIPS 2022 - 2021
- [c10]Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown:
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. ICLR 2021 - [c9]Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown:
No-Press Diplomacy from Scratch. NeurIPS 2021: 18063-18074 - 2020
- [c8]Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato:
Residual Energy-Based Models for Text Generation. ICLR 2020 - [c7]Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong:
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. NeurIPS 2020 - 2019
- [c6]Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis
, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller:
Language Models as Knowledge Bases? EMNLP/IJCNLP (1) 2019: 2463-2473 - [c5]Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. NeurIPS 2019: 5083-5094 - 2018
- [c4]Antoine Bruguier, Anton Bakhtin, Dravyansh Sharma:
Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction. INTERSPEECH 2018: 3733-3737 - 2017
- [c3]Yanzhang He, Rohit Prabhavalkar, Kanishka Rao, Wei Li, Anton Bakhtin, Ian McGraw:
Streaming small-footprint keyword spotting using sequence-to-sequence models. ASRU 2017: 474-481 - 2016
- [c2]Raziel Alvarez, Rohit Prabhavalkar, Anton Bakhtin:
On the Efficient Representation and Execution of Deep Acoustic Models. INTERSPEECH 2016: 2746-2750 - 2013
- [c1]Anton Bakhtin, Yury Ustinovsky, Pavel Serdyukov:
Predicting the impact of expansion terms using semantic and user interaction features. CIKM 2013: 1825-1828
Informal and Other Publications
- 2023
- [i16]Esin Durmus, Karina Nyugen, Thomas I. Liao, Nicholas Schiefer, Amanda Askell, Anton Bakhtin, Carol Chen, Zac Hatfield-Dodds, Danny Hernandez, Nicholas Joseph, Liane Lovitt, Sam McCandlish, Orowa Sikder, Alex Tamkin, Janel Thamkul, Jared Kaplan, Jack Clark, Deep Ganguli:
Towards Measuring the Representation of Subjective Global Opinions in Language Models. CoRR abs/2306.16388 (2023) - 2022
- [i15]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. CoRR abs/2207.12322 (2022) - [i14]Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown:
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. CoRR abs/2210.05492 (2022) - 2021
- [i13]Eltayeb Ahmed, Anton Bakhtin, Laurens van der Maaten, Rohit Girdhar:
Physical Reasoning Using Dynamics-Aware Models. CoRR abs/2102.10336 (2021) - [i12]Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown:
No-Press Diplomacy from Scratch. CoRR abs/2110.02924 (2021) - [i11]Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown:
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. CoRR abs/2112.07544 (2021) - 2020
- [i10]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Energy-Based Models for Text. CoRR abs/2004.10188 (2020) - [i9]Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato:
Residual Energy-Based Models for Text Generation. CoRR abs/2004.11714 (2020) - [i8]Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong:
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. CoRR abs/2007.13544 (2020) - [i7]Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown:
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. CoRR abs/2010.02923 (2020) - 2019
- [i6]Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam:
Real or Fake? Learning to Discriminate Machine from Human Generated Text. CoRR abs/1906.03351 (2019) - [i5]Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. CoRR abs/1908.05656 (2019) - [i4]Fabio Petroni, Tim Rocktäschel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
Language Models as Knowledge Bases? CoRR abs/1909.01066 (2019) - 2018
- [i3]Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave:
Lightweight Adaptive Mixture of Neural and N-gram Language Models. CoRR abs/1804.07705 (2018) - 2017
- [i2]Yanzhang He, Rohit Prabhavalkar, Kanishka Rao, Wei Li, Anton Bakhtin, Ian McGraw:
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models. CoRR abs/1710.09617 (2017) - 2016
- [i1]Raziel Alvarez, Rohit Prabhavalkar, Anton Bakhtin:
On the efficient representation and execution of deep acoustic models. CoRR abs/1607.04683 (2016)
Coauthor Index
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