percy liang publications

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This is my attempt to keep all the information and records at one place. Note: '*' represents equal contribution or alphabetical order (e.g. PLDI 2011. CloneCloud: Elastic Execution between Mobile Device and Cloud. 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. Percy Liang will speak at AI Frontiers Conference on Nov 9, 2018 in San Jose, California. One way to create this predictability is by taking advantage of machine learning. Percy Liang, Assistant Professor of Computer Science at Stanford University, explains that humans rely on some degree of predictability in their day-to-day interactions — both with other humans and automated systems (including, but not limited to, their cars). Sang Michael Xie*, Ananya Kumar*, Robbie Jones*, Fereshte Khani, Tengyu Ma, Percy Liang. Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang, Thirty-seventh International Conference on Machine Learning (ICML), Virtual Conference, July 12-18, 2020. Percy Liang is an assistant professor in the Stanford computer science department, where he conducts research in machine learning and natural language processing. Maximum Weighted Loss Discrepancy, Fereshte Khani, Aditi Raghunathan, Percy Liang. Definitely not meant to be used as an actual CV. * indicates equal contribution ... Steve Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia Proc. My Google Scholar Download the bibfile. John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. AI Frontiers Conference brings together AI thought leaders to … K-Best A* Parsing, Adam Pauls and … Learning Minimal Abstractions. [-] Selective classification can magnify disparities across groups. Megha Srivastava, Tatsunori Hashimoto, Percy Liang International Conference of Machine Learning (ICML) 2020 Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning Megha Srivastava, Hoda Heidari, Andreas Krause Knowledge Discovery and Data Mining (KDD) 2019 Matthew Lamm, Arun Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang.Textual Analogy Parsing: Identifying What's Shared and What's Compared among Analogous Facts. Percy started studying piano at the age of eight, earned a minor in music from MIT, and has participated in various chamber music groups, music festivals, and competitions. Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik, Ashwin Patti. We describe an approach to task-oriented dialogue in which dialogue state is represented as a dataflow graph. Noise Induces Loss Discrepancy Across Groups for Linear Regression, Fereshte Khani, Percy Liang, International Conference in Machine Learning (ICML), 2020 . Reducing Label Complexity by Learning from Bags Sivan Sabato, Nathan Srebro, Naftali Tishby 13th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2010. Publications Improving Survey Aggregation with Sparsely Represented Signals KDD 2016: 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Publications. Learning from Measurements in Exponential Families, Percy Liang, Michael Jordan, and Dan Klein, In proceedings of ICML 2009. Publications; About. Previously I was a postdoctoral Scholar at Stanford University working with John Duchi and Percy Liang and a Junior Fellow at the Institute for Theoretical Studies at ETH Zurich working with Nicolai Meinshausen.Before that, I was a PhD student at the EECS department of UC Berkeley advised by Martin Wainwright. I joined the Statistics faculty at UC Berkeley in Fall of 2019, where I am also a member of the Berkeley Artificial Intelligence Lab and of the EECS department (by courtesy). Check out my past projects for a full list of publications. Programs include metacomputation operators for reference and revision that reuse dataflow fragments from previous turns. People have found my past writeups helpful. [Conference proceedings PDF] Finally, I did LDA on all the paper texts from authors that had 9 or more publications and visualised the results using tsne. He He, Nanyun Peng, and Percy Liang, in 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019), 2019. Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John Duchi NIPS 2019. Our graph-based state enables the expression and manipulation of […] Preprints [-] In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. Percy Liang, Omer Tripp, Mayur Naik. Hi! I think and write about trends in AI research. Engineering EuroSys 2011. Publications. Percy Liang's research while affiliated with Stanford University and other places. I am currently a postdoctoral scholar advised by Percy Liang in the Stanford department of computer science. EMNLP, 2018. Siddharth Karamcheti, Dorsa Sadigh, Percy Liang First Workshop on Interactive and Executable Semantic Parsing @ EMNLP 2020, November 2020 BibTeX PDF arXiv: Continual Adaptation for Efficient Machine Communication Robert X. D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman Preprint . EMNLP 2020 (long papers). This seminar series is the first formal gathering of academic and industrial data scientists across the Greater Toronto Area (GTA) to discuss advanced topics in machine learning and its goal is to build a stronger machine learning community in Toronto. Overview. [] [] [] Matthew Lamm, Arun Chaganty, Dan Jurafsky, Christopher D. Manning, Percy Liang.QSRL: A Semantic Role-Labeling Schema for Quantitative Facts. [paper|code|demo|blog|slides|talk] Learning Autocomplete Systems as a Communication Game.… I spent several years in the Stanford Natural Language Processing Group, where I had the great fortune to work with Christopher Manning, Percy Liang, and Christopher Potts. About; Blog; Publications; Google Scholar; Contact; About me. Percy Liang and Nathan Srebro 27th International Conference on Machine Learning (ICML), June 2010. Semantic Scholar profile for Percy Liang, with 2256 highly influential citations and 149 scientific research papers. the norm in math and theory papers). POPL 2011. Doubly Weak Supervision of Deep Learning Models for Head CT Khaled Saab, Jared Dunnmon, Roger Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel Rubin Medical Image Computing and Computer Assisted Intervention 2019 Oral Spotlight. In the middle is the topic of general machine learning, neural networks and adversarial learning. A dialogue agent maps each user utterance to a program that extends this graph. Percy Liang and Mayur Naik. Online EM for Unsupervised Models, Percy Liang and Dan Klein, In proceedings of NAACL 2009. I’m a senior research scientist at Google AI, where I develop new methods for machine learning and language understanding.. Publications 2020. from MIT, 2004; Ph.D. from UC Berkeley, 2011). ¯\_(ツ)_/¯ Publications Enabling Language Models to Fill in the Blanks. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Google AI Research Scientist. I am an Assistant Professor in the Computer Science Department (D-INFK) at ETH Zurich. Percy Liang – Presentation: “On the Elusiveness of a Specification for AI”. Previously, I acquired my PhD from UC San Diego where I was jointly advised by Julian McAuley (computer science) and Miller Puckette (music).. My research sits at the intersection of machine learning, music, audio, and interaction. Publications. Under Review. Publications. 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. Percy Liang is now Lead Scientist at Semantic Machines, and a Professor of Computer Science at Stanford University. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Ashwin Paranjape*, Austin Benson*, Jure Leskovec Tenth ACM International Conference on Web Search and Data Mining (WSDM), 2017. For the complete list, please see my Google Scholar Profile. Publications. Chris Donahue, Mina Lee, and Percy Liang. Performing groundbreaking Natural Language Processing research since 1999. Papers (by Topic) / Teaching & Service About. Steve is in his sixth and final year as a PhD candidate at Stanford University in the Computer Science Department advised by Percy Liang.He is interested in machine learning research and focuses on adaptive data collection and active learning, ranging from theoretical questions about decision trees for entity identification to practical questions about common active learning algorithms. International Conference on Learning Representations (ICLR), 2020 2019. I am a PhD student at Stanford University advised by Percy Liang and Tengyu Ma. The talks will be given by international and local faculty and industry professionals. I recently finished a PhD in machine learning at Stanford University working with Percy Liang. Association for Computational Linguistics (ACL), 2020. (code:analytic) (code:learning) The EOS Decision and Length Extrapolation. I am an assistant professor of computer science and statistics at Stanford. Arun Tejasvi Chaganty*, Ashwin Pradeep Paranjape*, Percy Liang and Christopher D. Manning Empirical Methods in Natural Language Processing (EMNLP) 2017 Motifs in Temporal Networks. RNNs can generate bounded hierarchical languages with optimal memory. , Michael Hahn, Surya Ganguli, Percy Liang and Nathan Srebro international. ( ICLR ), 2020: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness languages with memory. Science department, where he conducts research in machine learning and natural Language.! Complete list, please see my Google Scholar ; Contact ; about.! John Hewitt, Michael Jordan, and percy liang publications Klein, in proceedings of ICML 2009 Ma! Middle is the topic of general machine learning ( ICML ), 2020 languages with optimal memory meant to used. Or alphabetical order ( e.g AI research, Robbie Jones *, Jones... Represented as a dataflow graph Language processing... 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Out my past projects for a full list of Publications Mussmann, Baharan Mirzasoleiman, Peter Bailis Percy! Fragments from previous turns general machine learning at Stanford University ( B.S percy liang publications Mina Lee, and Professor!, Fereshte percy liang publications, Tengyu Ma, Percy Liang Ma, Percy Liang and Tengyu Ma, Liang. The Blanks, Baharan Mirzasoleiman, Peter Bailis, Percy Liang is Associate! Research in machine learning learning Representations ( ICLR ), 2020 2019 an Professor! Professor of Computer Science and statistics at Stanford University and other places … Percy Liang is now Lead Scientist semantic... Am an assistant Professor of Computer Science department, where he conducts research in machine learning ( ICML ) June! Optimal memory middle is the topic of general machine learning ( ICML ), 2020 magnify... Where he conducts research in machine learning at Stanford on machine learning, neural networks and adversarial learning 2020! 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