| Classifying relations via long short term memory networks along shortest dependency paths Y Xu, L Mou, G Li, Y Chen, H Peng, Z Jin Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 716 | 2015 |
| A convolutional attention network for extreme summarization of source code M Allamanis, H Peng, C Sutton International Conference on Machine Learning, 2091-2100, 2016 | 599 | 2016 |
| Building program vector representations for deep learning H Peng, L Mou, G Li, Y Liu, L Zhang, Z Jin International Conference on Knowledge Science, Engineering and Management …, 2015 | 183* | 2015 |
| Random feature attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong arXiv preprint arXiv:2103.02143, 2021 | 181 | 2021 |
| Discriminative neural sentence modeling by tree-based convolution L Mou, H Peng, G Li, Y Xu, L Zhang, Z Jin arXiv preprint arXiv:1504.01106, 2015 | 155 | 2015 |
| Deep Multitask Learning for Semantic Dependency Parsing H Peng, S Thomson, NA Smith arXiv preprint arXiv:1704.06855, 2017 | 142 | 2017 |
| Contextualized Perturbation for Textual Adversarial Attack D Li, Y Zhang, H Peng, L Chen, C Brockett, MT Sun, B Dolan arXiv preprint arXiv:2009.07502, 2020 | 122 | 2020 |
| Deep encoder, shallow decoder: Reevaluating the speed-quality tradeoff in machine translation J Kasai, N Pappas, H Peng, J Cross, NA Smith arXiv preprint arXiv:2006.10369, 2020 | 106* | 2020 |
| Learning Joint Semantic Parsers from Disjoint Data H Peng, S Thomson, S Swayamdipta, NA Smith arXiv preprint arXiv:1804.05990, 2018 | 58 | 2018 |
| Text Generation with Exemplar-based Adaptive Decoding H Peng, AP Parikh, M Faruqui, B Dhingra, D Das arXiv preprint arXiv:1904.04428, 2019 | 49 | 2019 |
| Backpropagating through Structured Argmax using a SPIGOT H Peng, S Thomson, NA Smith arXiv preprint arXiv:1805.04658, 2018 | 37 | 2018 |
| Rational Recurrences H Peng, R Schwartz, S Thomson, NA Smith EMNLP 2018, 2018 | 36 | 2018 |
| A comparative study on regularization strategies for embedding-based neural networks H Peng, L Mou, G Li, Y Chen, Y Lu, Z Jin arXiv preprint arXiv:1508.03721, 2015 | 31 | 2015 |
| Infusing finetuning with semantic dependencies Z Wu, H Peng, NA Smith Transactions of the Association for Computational Linguistics 9, 226-242, 2021 | 30 | 2021 |
| Finetuning Pretrained Transformers into RNNs J Kasai, H Peng, Y Zhang, D Yogatama, G Ilharco, N Pappas, Y Mao, ... arXiv preprint arXiv:2103.13076, 2021 | 29 | 2021 |
| News Citation Recommendation with Implicit and Explicit Semantics H Peng, J Liu, CY Lin Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 27 | 2016 |
| You are no Jack Kennedy: On Media Selection of Highlights from Presidential Debates C Tan, H Peng, NA Smith Proceedings of the 2018 World Wide Web Conference on World Wide Web, 945-954, 2018 | 20 | 2018 |
| Palm: A hybrid parser and language model H Peng, R Schwartz, NA Smith arXiv preprint arXiv:1909.02134, 2019 | 14 | 2019 |
| A Mixture of Heads is Better than Heads H Peng, R Schwartz, D Li, NA Smith arXiv preprint arXiv:2005.06537, 2020 | 13 | 2020 |
| Rnn architecture learning with sparse regularization J Dodge, R Schwartz, H Peng, NA Smith arXiv preprint arXiv:1909.03011, 2019 | 8 | 2019 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
