Anton Bakhtin
Anton Bakhtin
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Cited by
Cited by
Language models as knowledge bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
arXiv preprint arXiv:1909.01066, 2019
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Meta Fundamental AI Research Diplomacy Team (FAIR)†, A Bakhtin, ...
Science 378 (6624), 1067-1074, 2022
Combining deep reinforcement learning and search for imperfect-information games
N Brown, A Bakhtin, A Lerer, Q Gong
Advances in Neural Information Processing Systems 33, 17057-17069, 2020
Residual energy-based models for text generation
Y Deng, A Bakhtin, M Ott, A Szlam, MA Ranzato
arXiv preprint arXiv:2004.11714, 2020
Real or fake? learning to discriminate machine from human generated text
A Bakhtin, S Gross, M Ott, Y Deng, MA Ranzato, A Szlam
arXiv preprint arXiv:1906.03351, 2019
Phyre: A new benchmark for physical reasoning
A Bakhtin, L van der Maaten, J Johnson, L Gustafson, R Girshick
Advances in Neural Information Processing Systems 32, 2019
Streaming small-footprint keyword spotting using sequence-to-sequence models
Y He, R Prabhavalkar, K Rao, W Li, A Bakhtin, I McGraw
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
Towards Measuring the Representation of Subjective Global Opinions in Language Models
E Durmus, K Nyugen, TI Liao, N Schiefer, A Askell, A Bakhtin, C Chen, ...
arXiv preprint arXiv:2306.16388, 2023
On the efficient representation and execution of deep acoustic models
R Alvarez, R Prabhavalkar, A Bakhtin
arXiv preprint arXiv:1607.04683, 2016
Human-level performance in no-press diplomacy via equilibrium search
J Gray, A Lerer, A Bakhtin, N Brown
arXiv preprint arXiv:2010.02923, 2020
Modeling strong and human-like gameplay with KL-regularized search
AP Jacob, DJ Wu, G Farina, A Lerer, H Hu, A Bakhtin, J Andreas, N Brown
International Conference on Machine Learning, 9695-9728, 2022
No-press diplomacy from scratch
A Bakhtin, D Wu, A Lerer, N Brown
Advances in Neural Information Processing Systems 34, 18063-18074, 2021
Residual energy-based models for text
A Bakhtin, Y Deng, S Gross, M Ott, MA Ranzato, A Szlam
Journal of Machine Learning Research 22 (40), 1-41, 2021
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
A Bakhtin, DJ Wu, A Lerer, J Gray, AP Jacob, G Farina, AH Miller, ...
arXiv preprint arXiv:2210.05492, 2022
Lightweight adaptive mixture of neural and n-gram language models
A Bakhtin, A Szlam, MA Ranzato, E Grave
arXiv preprint arXiv:1804.07705, 2018
Key phrase spotting
W Li, RP Prabhavalkar, KK Rao, Y He, IC McGraw, A Bakhtin
US Patent 11,295,739, 2022
Ogre: An object-based generalization for reasoning environment
KR Allen, A Bakhtin, K Smith, JB Tenenbaum, L van der Maaten
NeurIPS Workshop on Object Representations for Learning and Reasoning, 2020
Energy-based models for text
A Bakhtin, Y Deng, S Gross, M Ott, M Ranzato, A Szlam
arXiv preprint arXiv:2004.10188, 2020
Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction.
A Bruguier, A Bakhtin, D Sharma
INTERSPEECH, 3733-3737, 2018
Physical Reasoning Using Dynamics-Aware Models
E Ahmed, A Bakhtin, L van der Maaten, R Girdhar
arXiv preprint arXiv:2102.10336, 2021
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