| Transformers: State-of-the-art natural language processing T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ... Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 3841* | 2020 |
| A neural attention model for abstractive sentence summarization AM Rush, S Chopra, J Weston arXiv preprint arXiv:1509.00685, 2015 | 2979 | 2015 |
| Character-aware neural language models Y Kim, Y Jernite, D Sontag, A Rush Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 1932 | 2016 |
| Opennmt: Open-source toolkit for neural machine translation G Klein, Y Kim, Y Deng, J Senellart, AM Rush arXiv preprint arXiv:1701.02810, 2017 | 1909 | 2017 |
| Towards ai-complete question answering: A set of prerequisite toy tasks J Weston, A Bordes, S Chopra, AM Rush, B Van Merriënboer, A Joulin, ... arXiv preprint arXiv:1502.05698, 2015 | 1094 | 2015 |
| Abstractive sentence summarization with attentive recurrent neural networks S Chopra, M Auli, AM Rush Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 998 | 2016 |
| Sequence-level knowledge distillation Y Kim, AM Rush arXiv preprint arXiv:1606.07947, 2016 | 794 | 2016 |
| Bottom-up abstractive summarization S Gehrmann, Y Deng, AM Rush arXiv preprint arXiv:1808.10792, 2018 | 653 | 2018 |
| Sequence-to-sequence learning as beam-search optimization S Wiseman, AM Rush arXiv preprint arXiv:1606.02960, 2016 | 558 | 2016 |
| Challenges in data-to-document generation S Wiseman, SM Shieber, AM Rush arXiv preprint arXiv:1707.08052, 2017 | 492 | 2017 |
| Structured attention networks Y Kim, C Denton, L Hoang, AM Rush arXiv preprint arXiv:1702.00887, 2017 | 469 | 2017 |
| Lstmvis: A tool for visual analysis of hidden state dynamics in recurrent neural networks H Strobelt, S Gehrmann, H Pfister, AM Rush IEEE transactions on visualization and computer graphics 24 (1), 667-676, 2017 | 422 | 2017 |
| Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... arXiv preprint arXiv:2110.08207, 2021 | 331 | 2021 |
| Adversarially regularized autoencoders J Zhao, Y Kim, K Zhang, A Rush, Y LeCun International conference on machine learning, 5902-5911, 2018 | 279 | 2018 |
| Image-to-markup generation with coarse-to-fine attention Y Deng, A Kanervisto, J Ling, AM Rush International Conference on Machine Learning, 980-989, 2017 | 244* | 2017 |
| Semi-amortized variational autoencoders Y Kim, S Wiseman, A Miller, D Sontag, A Rush International Conference on Machine Learning, 2678-2687, 2018 | 231 | 2018 |
| Dual decomposition for parsing with non-projective head automata T Koo, AM Rush, M Collins, T Jaakkola, D Sontag Association for Computational Linguistics, 2010 | 231 | 2010 |
| Learning global features for coreference resolution S Wiseman, AM Rush, SM Shieber arXiv preprint arXiv:1604.03035, 2016 | 230 | 2016 |
| On dual decomposition and linear programming relaxations for natural language processing AM Rush, D Sontag, M Collins, T Jaakkola Association for Computational Linguistics, 2010 | 216 | 2010 |
| Resource management of social network applications TS Whitnah, AM Rush, D Zhou, R Sanghvi US Patent 8,307,086, 2012 | 207 | 2012 |
Yoon KimAssistant Professor, MIT在 mit.edu 的电子邮件经过验证
