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Sida I. Wang
Sida I. Wang
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Title
Cited by
Cited by
Year
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
16822012
Transforming auto-encoders
GE Hinton, A Krizhevsky, SD Wang
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011
16692011
Dropout training as adaptive regularization
S Wager, S Wang, PS Liang
Advances in neural information processing systems 26, 2013
7172013
Fast dropout training
SI Wang, CD Manning
International Conference on Machine Learning (ICML), 118-126, 2013
5502013
Simple recurrent units for highly parallelizable recurrence
T Lei, Y Zhang, SI Wang, H Dai, Y Artzi
arXiv preprint arXiv:1709.02755, 2017
481*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
3092022
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
2732017
Learning Language Games through Interaction
SI Wang, P Liang, CD Manning
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
1892016
Pre-training via paraphrasing
M Lewis, M Ghazvininejad, G Ghosh, A Aghajanyan, S Wang, ...
Advances in Neural Information Processing Systems 33, 18470-18481, 2020
1372020
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
1232022
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
862014
Naturalizing a programming language via interactive learning
SI Wang, S Ginn, P Liang, CD Manning
Proceedings of the Association for Computational Linguistics (ACL), 2017
822017
Grounded adaptation for zero-shot executable semantic parsing
V Zhong, M Lewis, SI Wang, L Zettlemoyer
arXiv preprint arXiv:2009.07396, 2020
782020
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
662023
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
602013
Altitude training: Strong bounds for single-layer dropout
S Wager, W Fithian, S Wang, PS Liang
Advances in Neural Information Processing Systems 27, 2014
592014
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
542023
Natural language to code translation with execution
F Shi, D Fried, M Ghazvininejad, L Zettlemoyer, SI Wang
arXiv preprint arXiv:2204.11454, 2022
522022
Feature noising for log-linear structured prediction
SI Wang, M Wang, S Wagner, P Liang, CD Manning
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
342013
Bilingual lexicon induction via unsupervised bitext construction and word alignment
H Shi, L Zettlemoyer, SI Wang
arXiv preprint arXiv:2101.00148, 2021
312021
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Articles 1–20