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Percy Liang
Percy Liang
Associate Professor of Computer Science, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
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Cited by
Year
Squad: 100,000+ questions for machine comprehension of text
P Rajpurkar, J Zhang, K Lopyrev, P Liang
arXiv preprint arXiv:1606.05250, 2016
46732016
Understanding black-box predictions via influence functions
PW Koh, P Liang
International conference on machine learning, 1885-1894, 2017
16852017
Semantic parsing on freebase from question-answer pairs
J Berant, A Chou, R Frostig, P Liang
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
15562013
Know what you don't know: Unanswerable questions for SQuAD
P Rajpurkar, R Jia, P Liang
arXiv preprint arXiv:1806.03822, 2018
14672018
Adversarial examples for evaluating reading comprehension systems
R Jia, P Liang
arXiv preprint arXiv:1707.07328, 2017
11382017
Certified defenses against adversarial examples
A Raghunathan, J Steinhardt, P Liang
arXiv preprint arXiv:1801.09344, 2018
7412018
Learning dependency-based compositional semantics
P Liang, MI Jordan, D Klein
Computational Linguistics 39 (2), 389-446, 2013
6362013
Dropout training as adaptive regularization
S Wager, S Wang, PS Liang
Advances in neural information processing systems 26, 2013
5762013
Semantic parsing via paraphrasing
J Berant, P Liang
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
5752014
Alignment by agreement
P Liang, B Taskar, D Klein
5442006
Certified defenses for data poisoning attacks
J Steinhardt, PWW Koh, PS Liang
Advances in neural information processing systems 30, 2017
4882017
QuAC: Question answering in context
E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer
arXiv preprint arXiv:1808.07036, 2018
4732018
Semi-supervised learning for natural language
P Liang
Massachusetts Institute of Technology, 2005
4132005
Data recombination for neural semantic parsing
R Jia, P Liang
arXiv preprint arXiv:1606.03622, 2016
4082016
Compositional semantic parsing on semi-structured tables
P Pasupat, P Liang
arXiv preprint arXiv:1508.00305, 2015
4062015
Strategies for pre-training graph neural networks
W Hu, B Liu, J Gomes, M Zitnik, P Liang, V Pande, J Leskovec
arXiv preprint arXiv:1905.12265, 2019
3952019
Delete, retrieve, generate: a simple approach to sentiment and style transfer
J Li, R Jia, H He, P Liang
arXiv preprint arXiv:1804.06437, 2018
3832018
Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization
S Sagawa, PW Koh, TB Hashimoto, P Liang
arXiv preprint arXiv:1911.08731, 2019
3812019
Learning bilingual lexicons from monolingual corpora
A Haghighi, P Liang, T Berg-Kirkpatrick, D Klein
Proceedings of ACL-08: Hlt, 771-779, 2008
3772008
Unlabeled data improves adversarial robustness
Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang
Advances in Neural Information Processing Systems 32, 2019
3702019
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