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percy liang publications

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

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