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| AlphaStar: Mastering the Real-Time Strategy Game StarCraft II O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, W Czarnecki, ... | 488 | 2019 |
| On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama arXiv preprint arXiv:1910.11856, 2019 | 453 | 2019 |
| Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... arXiv preprint arXiv:2206.07682, 2022 | 245 | 2022 |
| Program induction by rationale generation: Learning to solve and explain algebraic word problems W Ling, D Yogatama, C Dyer, P Blunsom arXiv preprint arXiv:1705.04146, 2017 | 231 | 2017 |
| Generative and discriminative text classification with recurrent neural networks D Yogatama, C Dyer, W Ling, P Blunsom arXiv preprint arXiv:1703.01898, 2017 | 223 | 2017 |
| Efficient Transfer Learning Method for Automatic Hyperparameter Tuning D Yogatama, G Mann Proceedings of the 17th International Conference on Artificial Intelligence …, 2014 | 215 | 2014 |
| Sparse overcomplete word vector representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, N Smith ACL 2015, 2015 | 205 | 2015 |
| Learning to compose words into sentences with reinforcement learning D Yogatama, P Blunsom, C Dyer, E Grefenstette, W Ling arXiv preprint arXiv:1611.09100, 2016 | 183 | 2016 |
| Random feature attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong arXiv preprint arXiv:2103.02143, 2021 | 182 | 2021 |
| Learning and evaluating general linguistic intelligence D Yogatama, CM d'Autume, J Connor, T Kocisky, M Chrzanowski, L Kong, ... arXiv preprint arXiv:1901.11373, 2019 | 169* | 2019 |
| Embedding methods for fine grained entity type classification D Yogatama, D Gillick, N Lazic Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 151 | 2015 |
| LSTMs can learn syntax-sensitive dependencies well, but modeling structure makes them better A Kuncoro, C Dyer, J Hale, D Yogatama, S Clark, P Blunsom Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 138 | 2018 |
| Achieving verified robustness to symbol substitutions via interval bound propagation PS Huang, R Stanforth, J Welbl, C Dyer, D Yogatama, S Gowal, ... arXiv preprint arXiv:1909.01492, 2019 | 136 | 2019 |
| Episodic memory in lifelong language learning C de Masson D'Autume, S Ruder, L Kong, D Yogatama Advances in Neural Information Processing Systems 32, 2019 | 132 | 2019 |
| A Mutual Information Maximization Perspective of Language Representation Learning L Kong, CM d'Autume, W Ling, L Yu, Z Dai, D Yogatama International Conference on Learning Representations, 2020 | 115* | 2020 |
| Reducing sentiment bias in language models via counterfactual evaluation PS Huang, H Zhang, R Jiang, R Stanforth, J Welbl, J Rae, V Maini, ... arXiv preprint arXiv:1911.03064, 2019 | 104 | 2019 |
| Deployed end-to-end speech recognition B Catanzaro, J Chen, M Chrzanowski, E Elsen, J Engel, C Fougner, ... US Patent 10,319,374, 2019 | 101 | 2019 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial Intelligence在 cs.washington.edu 的电子邮件经过验证
