Transparent and Interpretable AI: an interview with Percy Liang February 13, 2018 / by Sarah Marquart At the end of 2017, the United States House of Representatives passed a bill called the SELF DRIVE Act, laying out an initial federal framework for autonomous vehicle regulation. Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. . Enter your education and career history. In Approaches to Natural Language (1973), 221--242. . Percy Liang (Preferred) ... Google Scholar. ... J Liang, H Shen, K Wang, PL Rosin, MH Yang. Merged citations. . Their combined citations are counted only for the first article. The following articles are merged in Scholar. Their, This "Cited by" count includes citations to the following articles in Scholar. . Robustness to Spurious Correlations via Human Annotations. Journal of Machine Learning Research (JMLR), 5(0):1007-1034, 2004. . The following articles are merged in Scholar. Google Scholar Digital Library; Montague, R. The proper treatment of quantification in ordinary English. The following articles are merged in Scholar. We study the effect of feature noise (measurement error) on the discrepancy between losses across two groups, for estimators that either do or do not use group membership information. John Hewitt and Percy Liang. . . Their combined citations are counted only for the first article. The following articles are merged in Scholar. . . Their combined citations are counted only for the first article. CS229T/STAT231: Statistical Learning Theory (Winter 2016), 1 Overview 2 1.1 What is this course about? A Structual Probe for Finding Syntax in Word Representations. On robustness properties of convex risk minimization methods for pattern recognition. 2 1.2 Online learning (Lecture 1) . This "Cited by" count includes citations to the following articles in Scholar. . . EMNLP 2019 (long papers). Semantic parsers are typically trained from examples of questions annotated with their target logical … Merged citations. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. 35: 2018: The system can't perform the operation now. (Lecture 1) . Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. Enabling Language Models to Fill in the Blanks. 25: 2012: The reliability of machine learning systems critically assumes that the associations between features and labels remain similar between training and test distributions. IEEE Transactions on Image Processing 27 (11), 5288-5302, 2018. Google Scholar The institution domain is used for conflict of interest detection and institution ranking. ... ECM Hui, C Liang, Z Wang, BT Song, Q Gu. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. Designing and Interpreting Probes with Control Tasks. Runner up best paper. . . . . The core part of such a system is the semantic parser that maps questions to logical forms. 356: . The following articles are merged in Scholar. Some features of the site may not work correctly. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). We present a simple approach for text infilling, the task of predicting missing spans of text at any position in a document. We develop a joint model for person naming and coreference resolution, and in the process, infer a latent alignment between tracks and mentions in text. Suppose we want to build a system that answers a natural language question by representing its semantics as a logical form and computing the answer given a structured database of facts. . ... J Liang, G Zhu, C Wang, P Zhao, Y Wang, Y Hu, L Ma, Z Tie, J Liu, Z Jin. . . Suggest URL; Education & Career History. ... Google Verified email at ucmerced.edu. Google Scholar; Christmann, A. and Steinwart, I. Verified email at cs.stanford.edu ... P Liang, T Berg-Kirkpatrick, D Klein. . This "Cited by" count includes citations to the following articles in Scholar. . . . ... Percy Liang. . In this paper, we propose an unsupervised approach to pun generation based on lots of raw (unhumorous) text and a surprisal principle. . Google Scholar provides a simple way to broadly search for scholarly literature. In Association for Computational Linguistics (2015). Their combined citations are counted only for the first article. . DBLP. Merged citations. The following articles are merged in Scholar. Proceedings of ACL-08: Hlt, 771-779, 2008. . The ones marked, Proceedings of the 2013 conference on empirical methods in natural language …, Computational Linguistics 39 (2), 389-446, Proceedings of the Human Language Technology Conference of the NAACL, Main …, Proceedings of the 52nd Annual Meeting of the Association for Computational …, Advances in neural information processing systems, 351-359, A Haghighi, P Liang, T Berg-Kirkpatrick, D Klein, P Liang, A Bouchard-Côté, D Klein, B Taskar, Proceedings of the 21st International Conference on Computational …, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, Advances in neural information processing systems, 3517-3529, Proceedings of the 2007 joint conference on empirical methods in natural …, New articles related to this author's research, Squad: 100,000+ questions for machine comprehension of text, Semantic parsing on freebase from question-answer pairs, Understanding black-box predictions via influence functions, Know what you don't know: Unanswerable questions for SQuAD, Adversarial examples for evaluating reading comprehension systems, Learning dependency-based compositional semantics, Dropout training as adaptive regularization, Certified defenses against adversarial examples, Semi-supervised learning for natural language, Learning bilingual lexicons from monolingual corpora, An end-to-end discriminative approach to machine translation, Data recombination for neural semantic parsing, Compositional semantic parsing on semi-structured tables, Learning semantic correspondences with less supervision, Traversing knowledge graphs in vector space, Certified defenses for data poisoning attacks, The infinite PCFG using hierarchical Dirichlet processes, Delete, retrieve, generate: A simple approach to sentiment and style transfer. Google AI Research Scientist. To reward systems with real language understanding abilities, we propose an adversarial evaluation scheme for the Stanford Question Answering Dataset (SQuAD). Associate Professor of Computer Science, Stanford University. NAACL 2019 (short … Their combined citations are counted only for the first article. . We study why overparameterization -- increasing model size well beyond the point of zero training error -- can hurt test error on minority groups despite improving average test error when there are spurious correlations in the data. . Selective Question Answering under Domain Shift. . . You are currently offline. . . About; Blog; Publications; Google Scholar; Contact; About me. . Feature Noise Induces Loss Discrepancy Across Groups. . We propose the setting of selective question answering under domain shift, in which a QA model is tested on a mixture of in-domain and out-of-domain data and must answer (i.e., not abstain on) as many questions as possible while maintaining high accuracy. Our method tests whether systems can answer … ... Morteza Zadimoghaddam Google Research Verified email at google.com. 4 1.3, Linking People in Videos with "Their" Names Using Coreference Resolution. from MIT, 2004; Ph.D. from UC Berkeley, 2011). . . Noise Induces Loss Discrepancy Across Groups for Linear Regression. I’m a senior research scientist at Google AI, where I develop new methods for machine learning and language understanding.. . . . . The following articles are merged in Scholar. Semantic Scholar profile for Percy Liang, with 7 highly influential citations and 9 scientific research papers. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Google Scholar; Pasupat, P., Liang, P. Compositional semantic parsing on semi-structured tables. Google Scholar Cross Ref; Chollet, F. Keras, 2015. The system can't perform the operation now. . . Author pages are created from data sourced from our academic publisher partnerships and public sources. Construction Management and Economics 30 (11), 951-961, 2012. . The following articles are merged in Scholar. The ones marked * may be different from the article in the profile. Merged citations ... SG Thakku, Z Liang, D Milea, ... British Journal of Ophthalmology 102 (1), 131-135, 2018. . An Investigation of Why Overparameterization Exacerbates Spurious Correlations. Nano Energy 52, 239-245, 2018. The following articles are merged in Scholar. Overparameterization hurts worst-group accuracy with spurious correlations, By clicking accept or continuing to use the site, you agree to the terms outlined in our. We study the effect of feature noise on loss discrepancy in terms of the amount of noise, the difference between moments of the two groups, and whether group information is used or not. . 21: Merged citations. Try again later. Try again later. John Hewitt and Christopher D. Manning. . Standard accuracy metrics indicate that reading comprehension systems are making rapid progress, but the extent to which these systems truly understand language remains unclear. , C Liang, P. Compositional semantic parsing on semi-structured tables count includes citations to following... Wide variety of disciplines and sources: articles, theses, books, and! Some features of the site may not work correctly Song, Q Gu understanding abilities, propose! 2016 ), 951-961, 2012 ieee Transactions on Image Processing 27 ( 11 ) 221! Only for the first article part of such a system is the semantic parser that maps questions logical! 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