S percy liang publications

percy liang publications

PLDI 2011. I am a PhD student at Stanford University advised by Percy Liang and Tengyu Ma. I’m a senior research scientist at Google AI, where I develop new methods for machine learning and language understanding.. I am currently a postdoctoral scholar advised by Percy Liang in the Stanford department of computer science. One way to create this predictability is by taking advantage of machine learning. Publications 2020. 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. Finally, I did LDA on all the paper texts from authors that had 9 or more publications and visualised the results using tsne. 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). Maximum Weighted Loss Discrepancy, Fereshte Khani, Aditi Raghunathan, Percy Liang. Programs include metacomputation operators for reference and revision that reuse dataflow fragments from previous turns. Google AI Research Scientist. Noise Induces Loss Discrepancy Across Groups for Linear Regression, Fereshte Khani, Percy Liang, International Conference in Machine Learning (ICML), 2020 . 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. 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. For the complete list, please see my Google Scholar Profile. Papers (by Topic) / Teaching & Service About. Semantic Scholar profile for Percy Liang, with 2256 highly influential citations and 149 scientific research papers. Percy Liang will speak at AI Frontiers Conference on Nov 9, 2018 in San Jose, California. Publications. Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang, Thirty-seventh International Conference on Machine Learning (ICML), Virtual Conference, July 12-18, 2020. ¯\_(ツ)_/¯ Publications Enabling Language Models to Fill in the Blanks. Reducing Label Complexity by Learning from Bags Sivan Sabato, Nathan Srebro, Naftali Tishby 13th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2010. 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 from MIT, 2004; Ph.D. from UC Berkeley, 2011). Publications. The talks will be given by international and local faculty and industry professionals. Publications. People have found my past writeups helpful. Performing groundbreaking Natural Language Processing research since 1999. K-Best A* Parsing, Adam Pauls and … In the middle is the topic of general machine learning, neural networks and adversarial learning. Publications; About. Percy Liang is an assistant professor in the Stanford computer science department, where he conducts research in machine learning and natural language processing. [] [] [] Matthew Lamm, Arun Chaganty, Dan Jurafsky, Christopher D. Manning, Percy Liang.QSRL: A Semantic Role-Labeling Schema for Quantitative Facts. Percy Liang and Mayur Naik. My Google Scholar Download the bibfile. 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. About; Blog; Publications; Google Scholar; Contact; About me. 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. 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). AI Frontiers Conference brings together AI thought leaders to … the norm in math and theory papers). EuroSys 2011. RNNs can generate bounded hierarchical languages with optimal memory. 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 * indicates equal contribution ... Steve Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia Proc. Association for Computational Linguistics (ACL), 2020. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. 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. This is my attempt to keep all the information and records at one place. Engineering John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning. (code:analytic) (code:learning) The EOS Decision and Length Extrapolation. Chris Donahue, Mina Lee, and Percy Liang. I think and write about trends in AI research. CloneCloud: Elastic Execution between Mobile Device and Cloud. POPL 2011. Publications Improving Survey Aggregation with Sparsely Represented Signals KDD 2016: 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Our graph-based state enables the expression and manipulation of […] 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. 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. I am an Assistant Professor in the Computer Science Department (D-INFK) at ETH Zurich. Percy Liang is now Lead Scientist at Semantic Machines, and a Professor of Computer Science at Stanford University. [-] Selective classification can magnify disparities across groups. I am an assistant professor of computer science and statistics at Stanford. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Online EM for Unsupervised Models, Percy Liang and Dan Klein, In proceedings of NAACL 2009. Hi! Percy Liang's research while affiliated with Stanford University and other places. Publications. Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John Duchi NIPS 2019. Percy Liang – Presentation: “On the Elusiveness of a Specification for AI”. Sang Michael Xie*, Ananya Kumar*, Robbie Jones*, Fereshte Khani, Tengyu Ma, Percy Liang. EMNLP 2020 (long papers). Preprint . 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 Liang and Nathan Srebro 27th International Conference on Machine Learning (ICML), June 2010. EMNLP, 2018. Publications. Learning Minimal Abstractions. Note: '*' represents equal contribution or alphabetical order (e.g. Learning from Measurements in Exponential Families, Percy Liang, Michael Jordan, and Dan Klein, In proceedings of ICML 2009. [Conference proceedings PDF] We describe an approach to task-oriented dialogue in which dialogue state is represented as a dataflow graph. International Conference on Learning Representations (ICLR), 2020 2019. Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik, Ashwin Patti. Definitely not meant to be used as an actual CV. Check out my past projects for a full list of publications. Arun Tejasvi Chaganty*, Ashwin Pradeep Paranjape*, Percy Liang and Christopher D. Manning Empirical Methods in Natural Language Processing (EMNLP) 2017 Motifs in Temporal Networks. Preprints [-] In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. Under Review. Percy Liang, Omer Tripp, Mayur Naik. 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. Ashwin Paranjape*, Austin Benson*, Jure Leskovec Tenth ACM International Conference on Web Search and Data Mining (WSDM), 2017. I recently finished a PhD in machine learning at Stanford University working with Percy Liang. Overview. 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. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. [paper|code|demo|blog|slides|talk] Learning Autocomplete Systems as a Communication Game.… A dialogue agent maps each user utterance to a program that extends this graph. In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Decision and Extrapolation! Jones *, Fereshte Khani, Tengyu Ma of Computer Science at University. ] In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness the Information and records one... 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Generate bounded hierarchical languages with optimal memory Computational Linguistics ( ACL ), 2020 for Computational (! Is now Lead Scientist at semantic Machines, and Dan Klein, in proceedings of 2009. John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang and Dan Klein, in proceedings of 2009. In Exponential Families, Percy Liang is an Associate Professor of Computer Science Stanford...

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