Anton Bakhtin

According to our database, Anton Bakhtin authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards Measuring the Representation of Subjective Global Opinions in Language Models.

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

CoRR, 2023

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning.

Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Self-Explaining Deviations for Coordination.

Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

Proceedings of the International Conference on Machine Learning, 2022

2021

Residual Energy-Based Models for Text.

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

J. Mach. Learn. Res., 2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown

CoRR, 2021

Physical Reasoning Using Dynamics-Aware Models.

Eltayeb Ahmed, Anton Bakhtin, Laurens van der Maaten, Rohit Girdhar

CoRR, 2021

No-Press Diplomacy from Scratch.

Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Energy-Based Models for Text.

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

CoRR, 2020

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games.

Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Residual Energy-Based Models for Text Generation.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

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

CoRR, 2019

PHYRE: A New Benchmark for Physical Reasoning.

Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Language Models as Knowledge Bases?

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Lightweight Adaptive Mixture of Neural and N-gram Language Models.

Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave

CoRR, 2018

Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction.

Antoine Bruguier, Anton Bakhtin, Dravyansh Sharma

Proceedings of the Interspeech 2018, 2018

2017

Streaming small-footprint keyword spotting using sequence-to-sequence models.

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

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

On the Efficient Representation and Execution of Deep Acoustic Models.

Raziel Alvarez, Rohit Prabhavalkar, Anton Bakhtin

Proceedings of the Interspeech 2016, 2016

2013

Predicting the impact of expansion terms using semantic and user interaction features.

Anton Bakhtin, Yury Ustinovsky, Pavel Serdyukov

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013