Sida I. Wang
Sida I. Wang
Facebook AI
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Titel
Zitiert von
Zitiert von
Jahr
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
11582012
Transforming auto-encoders
GE Hinton, A Krizhevsky, SD Wang
International conference on artificial neural networks, 44-51, 2011
8562011
Dropout training as adaptive regularization
S Wager, S Wang, P Liang
arXiv preprint arXiv:1307.1493, 2013
4672013
Fast dropout training
SI Wang, CD Manning
International Conference on Machine Learning (ICML), 118-126, 2013
3602013
Simple recurrent units for highly parallelizable recurrence
T Lei, Y Zhang, SI Wang, H Dai, Y Artzi
arXiv preprint arXiv:1709.02755, 2017
253*2017
Learning Language Games through Interaction
SI Wang, P Liang, CD Manning
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
1202016
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
1132017
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
512014
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
512013
Altitude training: Strong bounds for single-layer dropout
S Wager, W Fithian, S Wang, P Liang
arXiv preprint arXiv:1407.3289, 2014
452014
Naturalizing a programming language via interactive learning
SI Wang, S Ginn, P Liang, CD Manning
Proceedings of the Association for Computational Linguistics (ACL), 2017
432017
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
322013
Simple MAP Inference via Low-Rank Relaxations.
R Frostig, SI Wang, P Liang, CD Manning
NIPS, 3077-3085, 2014
182014
Pre-training via paraphrasing
M Lewis, M Ghazvininejad, G Ghosh, A Aghajanyan, S Wang, ...
arXiv preprint arXiv:2006.15020, 2020
162020
Relaxations for inference in restricted Boltzmann machines
SI Wang, R Frostig, P Liang, CD Manning
ICLR workshop track, 2013
92013
Feature-rich phrase-based translation: Stanford University’s submission to the WMT 2013 translation task
S Green, D Cer, K Reschke, R Voigt, J Bauer, SI Wang, N Silveira, ...
Proceedings of the eighth workshop on statistical machine translation, 148-153, 2013
82013
Grounded adaptation for zero-shot executable semantic parsing
V Zhong, M Lewis, SI Wang, L Zettlemoyer
arXiv preprint arXiv:2009.07396, 2020
32020
Interactive classification by asking informative questions
L Yu, H Chen, S Wang, T Lei, Y Artzi
arXiv preprint arXiv:1911.03598, 2019
32019
Estimating mixture models via mixtures of polynomials
S Wang, AT Chaganty, PS Liang
Advances in Neural Information Processing Systems 28, 487-495, 2015
32015
Fast dropout training for logistic regression
S Wang, CD Manning
NIPS workshop on log-linear models, 2012
22012
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