Athul Paul Jacob
Cited by
Cited by
Mode regularized generative adversarial networks
T Che, Y Li, AP Jacob, Y Bengio, W Li
International Conference on Learning Representations(ICLR) - 2017, 2016
Boundary-seeking generative adversarial networks
RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio
International Conference on Learning Representations (ICLR) - 2018, 2017
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
MFAIRDT FAIR)†, A Bakhtin, N Brown, E Dinan, G Farina, C Flaherty, ...
Science 378 (6624), 1067-1074, 2022
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Y Shen, Z Lin, AP Jacob, A Sordoni, A Courville, Y Bengio
56th Annual Meeting of the Association of Computational Linguistics (ACL …, 2018
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 (ICML) - 2022, 9695-9728, 2022
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences
AP Jacob, Z Lin, A Sordoni, Y Bengio
56th Annual Meeting of the Association of Computational Linguistics (ACL …, 2018
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, ...
International Conference on Learning Representations (ICLR) - 2023, 2022
Multitasking Inhibits Semantic Drift
AP Jacob, M Lewis, J Andreas
2021 Annual Conference of the North American Chapter of the Association for …, 2021
The Consensus Game: Language Model Generation via Equilibrium Search
AP Jacob, Y Shen, G Farina, J Andreas
arXiv preprint arXiv:2310.09139, 2023
Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning
AP Jacob, G Farina, J Andreas
arXiv preprint arXiv:2311.09712, 2023
AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies
W Shi, E Dinan, A Renduchintala, D Fried, AP Jacob, Z Yu, M Lewis
arXiv preprint arXiv:2211.12615, 2022
Learning Effective and Human-like Policies for Strategic, Multi-Agent Games
AP Jacob
Massachusetts Institute of Technology, 2022
Boundary-seeking GANs: A new method for adversarial generation of discrete data
D Hjelm, AP Jacob …, 2018
Joint Training in Generative Adversarial Networks
DR Hjelm, AP Jacob, Y Bengio
International Conference on Machine Learning(ICML) - 2017 Workshop on …, 2017
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