Sida I. Wang

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Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Luke ZettlemoyerUniversity of Washington; Meta AIVerified email at cs.washington.edu
Stefan WagerGraduate School of Business, Stanford UniversityVerified email at stanford.edu
Yoav ArtziCornell University; ASAPPVerified email at cs.cornell.edu
Tao LeiGoogleVerified email at google.com
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Alex KrizhevskyUniversity of TorontoVerified email at cs.toronto.edu
Mike LewisFacebook AI ResearchVerified email at fb.com
Yu ZhangGoogleVerified email at csail.mit.edu
Marjan GhazvininejadResearch Scientist, FAIR (Facebook AI Research)Verified email at fb.com
Victor ZhongPhD student at the University of WashingtonVerified email at victorzhong.com
Armen AghajanyanFacebook AI ResearchVerified email at fb.com
Freda ShiPh.D. student, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Hui DaiVerified email at uchicago.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Jiwei LiShannon.AI, Zhejiang University, Stanford UniversityVerified email at stanford.edu
Ziang XieSapling.aiVerified email at cs.stanford.edu
Andrew NgStanford UniversityVerified email at cs.stanford.edu
Daniel CerResearch Scientist, Google ResearchVerified email at google.com

Sida I. Wang

Facebook AI

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Machine learning NLP


Title Sort by citations Sort by year Sort by 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	1541	2012
Transforming auto-encoders GE Hinton, A Krizhevsky, SD Wang Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011	1461	2011
Dropout training as adaptive regularization S Wager, S Wang, PS Liang Advances in neural information processing systems 26, 2013	636	2013
Fast dropout training SI Wang, CD Manning International Conference on Machine Learning (ICML), 118-126, 2013	500	2013
Simple recurrent units for highly parallelizable recurrence T Lei, Y Zhang, SI Wang, H Dai, Y Artzi arXiv preprint arXiv:1709.02755, 2017	411*	2017
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	232	2017
Learning Language Games through Interaction SI Wang, P Liang, CD Manning Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	178	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	113	2020
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	75	2014
Naturalizing a programming language via interactive learning SI Wang, S Ginn, P Liang, CD Manning Proceedings of the Association for Computational Linguistics (ACL), 2017	68	2017
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	59	2013
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	54	2022
Altitude training: Strong bounds for single-layer dropout S Wager, W Fithian, S Wang, PS Liang Advances in Neural Information Processing Systems 27, 2014	54	2014
Grounded adaptation for zero-shot executable semantic parsing V Zhong, M Lewis, SI Wang, L Zettlemoyer arXiv preprint arXiv:2009.07396, 2020	50	2020
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	49	2022
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	32	2013
Simple MAP inference via low-rank relaxations R Frostig, S Wang, PS Liang, CD Manning Advances in Neural Information Processing Systems 27, 2014	21	2014
Bilingual lexicon induction via unsupervised bitext construction and word alignment H Shi, L Zettlemoyer, SI Wang arXiv preprint arXiv:2101.00148, 2021	19	2021
Interactive classification by asking informative questions L Yu, H Chen, S Wang, T Lei, Y Artzi arXiv preprint arXiv:1911.03598, 2019	12	2019
Natural language to code translation with execution F Shi, D Fried, M Ghazvininejad, L Zettlemoyer, SI Wang arXiv preprint arXiv:2204.11454, 2022	11	2022

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