Transforming auto-encoders GE Hinton, A Krizhevsky, SD Wang Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011 | 1729 | 2011 |
Baselines and bigrams: Simple, good sentiment and topic classification SI Wang, CD Manning Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 1723 | 2012 |
Dropout training as adaptive regularization S Wager, S Wang, PS Liang Advances in neural information processing systems 26, 2013 | 736 | 2013 |
Fast dropout training SI Wang, CD Manning International Conference on Machine Learning (ICML), 118-126, 2013 | 570 | 2013 |
Simple recurrent units for highly parallelizable recurrence T Lei, Y Zhang, SI Wang, H Dai, Y Artzi arXiv preprint arXiv:1709.02755, 2017 | 506* | 2017 |
Incoder: A generative model for code infilling and synthesis D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ... arXiv preprint arXiv:2204.05999, 2022 | 433 | 2022 |
Data noising as smoothing in neural network language models Z Xie, SI Wang, J Li, D Lévy, A Nie, D Jurafsky, AY Ng International Conference on Learning Representations (ICLR), 2017 | 293 | 2017 |
Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... arXiv preprint arXiv:2201.05966, 2022 | 256* | 2022 |
Learning Language Games through Interaction SI Wang, P Liang, CD Manning Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 192 | 2016 |
Pre-training via paraphrasing M Lewis, M Ghazvininejad, G Ghosh, A Aghajanyan, S Wang, ... Advances in Neural Information Processing Systems 33, 18470-18481, 2020 | 151 | 2020 |
DS-1000: A natural and reliable benchmark for data science code generation Y Lai, C Li, Y Wang, T Zhang, R Zhong, L Zettlemoyer, W Yih, D Fried, ... International Conference on Machine Learning, 18319-18345, 2023 | 116 | 2023 |
Lever: Learning to verify language-to-code generation with execution A Ni, S Iyer, D Radev, V Stoyanov, W Yih, S Wang, XV Lin International Conference on Machine Learning, 26106-26128, 2023 | 92 | 2023 |
Human effort and machine learnability in computer aided translation S Green, SI Wang, J Chuang, J Heer, S Schuster, CD Manning Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 87 | 2014 |
Grounded adaptation for zero-shot executable semantic parsing V Zhong, M Lewis, SI Wang, L Zettlemoyer arXiv preprint arXiv:2009.07396, 2020 | 84 | 2020 |
Naturalizing a programming language via interactive learning SI Wang, S Ginn, P Liang, CD Manning Proceedings of the Association for Computational Linguistics (ACL), 2017 | 84 | 2017 |
Natural language to code translation with execution F Shi, D Fried, M Ghazvininejad, L Zettlemoyer, SI Wang arXiv preprint arXiv:2204.11454, 2022 | 68 | 2022 |
Fast and adaptive online training of feature-rich translation models S Green, SI Wang, D Cer, CD Manning Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 58 | 2013 |
Altitude training: Strong bounds for single-layer dropout S Wager, W Fithian, S Wang, PS Liang Advances in Neural Information Processing Systems 27, 2014 | 57 | 2014 |
Coder reviewer reranking for code generation T Zhang, T Yu, T Hashimoto, M Lewis, W Yih, D Fried, S Wang International Conference on Machine Learning, 41832-41846, 2023 | 46 | 2023 |
Bilingual lexicon induction via unsupervised bitext construction and word alignment H Shi, L Zettlemoyer, SI Wang arXiv preprint arXiv:2101.00148, 2021 | 35 | 2021 |