Predicting the impact of expansion terms using semantic and user interaction features. - Anton Bakhtin; Yury Ustinovsky; Pavel Serdyukov (CIKM, 2013)

On the Efficient Representation and Execution of Deep Acoustic Models. - Raziel Alvarez; Rohit Prabhavalkar; Anton Bakhtin (INTERSPEECH, 2016)

Streaming small-footprint keyword spotting using sequence-to-sequence models. - Yanzhang He; Rohit Prabhavalkar; Kanishka Rao; Wei Li 133; Anton Bakhtin; Ian McGraw (ASRU, 2017)

Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction. - Antoine Bruguier; Anton Bakhtin; Dravyansh Sharma (INTERSPEECH, 2018)

Lightweight Adaptive Mixture of Neural and N-gram Language Models. - Anton Bakhtin; Arthur Szlam; Marc'Aurelio Ranzato; Edouard Grave (CoRR, 2018)

Language Models as Knowledge Bases? - Fabio Petroni; Tim Rocktäschel; Sebastian Riedel 001; Patrick Lewis 001; Anton Bakhtin; Yuxiang Wu; Alexander H. Miller (EMNLP/IJCNLP (1), 2019)

PHYRE: A New Benchmark for Physical Reasoning. - Anton Bakhtin; Laurens van der Maaten; Justin Johnson 001; Laura Gustafson; Ross B. Girshick (NeurIPS, 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)

Residual Energy-Based Models for Text Generation. - Yuntian Deng; Anton Bakhtin; Myle Ott; Arthur Szlam; Marc'Aurelio Ranzato (ICLR, 2020)

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. - Noam Brown; Anton Bakhtin; Adam Lerer; Qucheng Gong (NeurIPS, 2020)

Energy-Based Models for Text. - Anton Bakhtin; Yuntian Deng; Sam Gross; Myle Ott; Marc'Aurelio Ranzato; Arthur Szlam (CoRR, 2020)

Human-Level Performance in No-Press Diplomacy via Equilibrium Search. - Jonathan Gray; Adam Lerer; Anton Bakhtin; Noam Brown (ICLR, 2021)

No-Press Diplomacy from Scratch. - Anton Bakhtin; David J. Wu 002; Adam Lerer; Noam Brown (NeurIPS, 2021)

Physical Reasoning Using Dynamics-Aware Models. - Eltayeb Ahmed; Anton Bakhtin; Laurens van der Maaten; Rohit Girdhar (CoRR, 2021)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Anton Bakhtin; Jacob Andreas; Noam Brown (CoRR, 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 002; Gabriele Farina; Adam Lerer; Hengyuan Hu; Anton Bakhtin; Jacob Andreas; Noam Brown (ICML, 2022)

Self-Explaining Deviations for Coordination. - Hengyuan Hu; Samuel Sokota; David J. Wu 002; Anton Bakhtin; Andrei Lupu; Brandon Cui; Jakob N. Foerster (NeurIPS, 2022)

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. - Anton Bakhtin; David J. Wu 002; Adam Lerer; Jonathan Gray; Athul Paul Jacob; Gabriele Farina; Alexander H. Miller; Noam Brown (ICLR, 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; et al. (CoRR, 2023)