42 ∙ ... ∙ One way to create this predictability is by taking advantage of machine learning. Learn more here; Loading the dataset using TensorFlow Bio: Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. ∙ Bryan Anenberg’s personal website. 0 0 Zero-One Loss, A Retrieve-and-Edit Framework for Predicting Structured Outputs, FrAngel: Component-Based Synthesis with Control Structures, Semidefinite relaxations for certifying robustness to adversarial share, Language models are generally trained on data spanning a wide range of t... View Harriet King’s professional profile on LinkedIn. ∙ ∙ share, We consider the task of mapping pseudocode to long programs that are share, We present a simple approach for text infilling, the task of predicting 121, Computational principles of intelligence: learning and reasoning with ∙ 11/06/2019 ∙ by Jesse Mu, et al. Stanford University, Assistant Professor at Stanford University, Fine-tuning is the de facto way to leverage large pretrained language mo... ... ∙ 0 share, Many pairwise classification tasks, such as paraphrase detection and ∙ 06/26/2019 ∙ by Cody Coleman, et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), Austin, USA, November 2016. ∙ ∙ 0 ∙ Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D Manning. share, Influence functions estimate the effect of removing particular training share, In component-based program synthesis, the synthesizer generates a progra... ∙ Fellowships: - NSF Graduate Research Fellowship (2012-2015) - Stanford Math+X Fellowship (2012-2013) - Greylock X Fellow (2017) 2007 - 2011: B.S. in … communities in the world, Get the week's mostpopular data scienceresearch in your inbox -every Saturday, Explainability in Graph Neural Networks: A Taxonomic Survey, 12/31/2020 ∙ by Hao Yuan ∙ ∙ ∙ hypot... Liang, a senior majoring in computer science and minoring in music and also a student in the Master of Engineering program, will present an Advanced Music Performance piano recital today (March 17) at … Shiori Sagawa ... login Login with Google Login with GitHub Login with Twitter Login with LinkedIn. Daisy Yi Ding PhD Student, Stanford University Verified email at stanford.edu. 0 ∙ 07/09/2020 ∙ by Pang Wei Koh, et al. The best way to contact me is email: sidawxyz [at] gmail.com. ∙ from MIT, 2004; Ph.D. from UC Berkeley, 2011). ∙ share, Adversarial training augments the training set with perturbations to imp... ∙ 93, Learning emergent PDEs in a learned emergent space, 12/23/2020 ∙ by Felix P. Kemeth ∙ share, Overparameterized neural networks can be highly accurate on average on a... share, We study textual autocomplete—the task of predicting a full sentence fro... ∙ STAT 205 Probability Theory Fall 2006 Topic: Inversion formula Lecturer: Jim Pitman, Scribe: Bo Li, Ankit Jain, Percy Liang, Editor: 0 05/09/2020 ∙ by Shiori Sagawa, et al. Liang Shiori Sagawa, Pang Wei Koh, Tatsunori B Hashimoto, and Percy Liang. Fei has 6 jobs listed on their profile. Feature Noise Induces Loss Discrepancy Across Groups, Fereshte Khani, f... share, For the task of generating complex outputs such as source code, editing 05/31/2019 ∙ by Yair Carmon, et al. 10/11/2020 ∙ by Siddharth Karamcheti, et al. 04/04/2019 ∙ by Tatsunori B. Hashimoto, et al. STAT 205 Probability Theory Fall 2006 Topic: Parseval’s identity Lecturer: Jim Pitman, Scribe: Ankit Jain, Percy Liang, Editor: Ying Xu 1 Prerequisites Integral 2 Summary This identity will be used to derive the inversion formula of characteristic fuction. Previously, I was an instructor at Princeton University and the Institute for Advanced Study.In 2017, I completed a PhD in computer science at Stanford where I worked on machine learning and natural language processing. share, How can we measure whether a natural language generation system produces... 05/30/2019 ∙ by Pang Wei Koh, et al. Learn more here; Loading the dataset using TensorFlow Ph.D. Committee: Percy Liang, Wing Hung Wong, Chris Manning, and Lester Mackey. CoRR abs/1906.11829 (2019) Advisor: Percy Liang. 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. 11/13/2018 ∙ by Kensen Shi, et al. Jaebum has 4 jobs listed on their profile. Liang Hui has 2 jobs listed on their profile. Out-of-Distribution Robustness, Removing Spurious Features can Hurt Accuracy and Affect Groups I am a computer vision engineer at Anduril Industries, where I work on defense technologies.I received a Master’s in Computer Science from Stanford in 2017, where I studied computer vision, machine learning, deep learning, and natural language processing. Distributionally robust neural networks for group shifts: On the … 0 09/03/2019 ∙ by Robin Jia, et al. share, Machine learning models trained on data from the outside world can be 06/14/2019 ∙ by Aditi Raghunathan, et al. ∙ 02/25/2020 ∙ by Aditi Raghunathan, et al. I am a research scientist at Facebook AI Research (FAIR). 10/10/2020 ∙ by Stephen Mussmann, et al. Kelvin Guu 11 publications . 10/14/2020 ∙ by Benjamin Newman, et al. ... share, Selective classification, in which models are allowed to abstain on unce... share, We demonstrate, theoretically and empirically, that adversarial robustne... The current state of the art framework on the SQuAD dataset is SA-Net on Albert. Accuracy, Noise Induces Loss Discrepancy Across Groups for Linear Regression, Distributionally Robust Neural Networks for Group Shifts: On the examples, Stronger Data Poisoning Attacks Break Data Sanitization Defenses. Led section for … LinkedIn is the world’s largest business network, helping professionals like Harriet King discover inside connections to recommended job candidates, industry experts, and business partners. ∙ Percy Shuo Liang EECS Department University of California, Berkeley Technical Report No. 11/22/2019 ∙ by Fereshte Khani, et al. ∙ ∙ I am a computer vision engineer at Anduril Industries, where I work on defense technologies.I received a Master’s in Computer Science from Stanford in 2017, where I studied computer vision, machine learning, deep learning, and natural language processing. Transfer, Simplifying Models with Unlabeled Output Data, Selective Question Answering under Domain Shift, Graph-based, Self-Supervised Program Repair from Diagnostic Feedback, Enabling Language Models to Fill in the Blanks, An Investigation of Why Overparameterization Exacerbates Spurious ∙ ∙ share, Distribution shifts can cause significant degradation in a broad range o... 10/15/2020 ∙ by John Hewitt, et al. ∙ ∙ Show more Show less. share, Uncertainty sampling, a popular active learning algorithm, is used to re... Jitendra Malik 98 publications . Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang. 12 0 co... share, Many applications of machine learning in science and medicine, including... ∙ ∙ from MIT, 2004; Ph.D. from UC Berkeley, 2011). share, Model-based reinforcement learning (RL) is appealing because (i) it enab... 0 0 https://hai.stanford.edu/events/hai-weekly-seminar-percy-liang Distributionally robust neural networks for group shifts: On the … communities, Join one of the world's largest A.I. ∙ 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. ∙ ... The problem is that small groups have a low representation in minimizing the average training loss. ∙ memory-efficient semidefinite programming, RNNs can generate bounded hierarchical languages with optimal memory, The EOS Decision and Length Extrapolation, Learning Adaptive Language Interfaces through Decomposition, On the Importance of Adaptive Data Collection for Extremely Imbalanced Wartime … Fellowships: - NSF Graduate Research Fellowship (2012-2015) - Stanford Math+X Fellowship (2012-2013) - Greylock X Fellow (2017) 2007 - 2011: B.S. 0 share, Despite excellent performance on many tasks, NLP systems are easily fool... 06/12/2019 ∙ by Sumith Kulal, et al. The dataset was presented by researchers: Pranav Rajpurkar and Jian Zhang and Konstantin Lopyrev and Percy Liang from Stanford University. : Three Levels of Generalization for Question Answering on 02/26/2020 ∙ by Ananya Kumar, et al. 0 10 Tatsunori B. Hashimoto 12 publications . ∙ ∙ Visit the post for more. ∙ Categories: Events, News. 01/01/2021 ∙ by Xiang Lisa Li, et al. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Ph.D. Committee: Percy Liang, Wing Hung Wong, Chris Manning, and Lester Mackey. 8 Feature Noise Induces Loss Discrepancy Across Groups, Fereshte Khani, I am a PhD student at Stanford University advised by View Fei LI’S profile on LinkedIn, the world's largest professional community. ∙ share, The presence of spurious features interferes with the goal of obtaining in … Hey Percy Liang! ∙ Prospective students: If you are interested in working with me, please apply to either the PhD program in Computer Science or PhD program in Data Science and mention my name in your application. 0 106, Unsupervised deep clustering and reinforcement learning can accurately Percy Liang. 12/14/2020 ∙ by Pang Wei Koh, et al. ∙ Percy Liang (Stanford+CodaLab) Victoria Stodden (UIUC) Joaquin Vanschoren (TU/e+OpenML). I am an assistant professor of computer science and statistics at Stanford. share, Convex relaxations have emerged as a promising approach for verifying View S.Sankara Rajulu’s profile on LinkedIn, the world’s largest professional community. The current state of the art framework on the SQuAD dataset is SA-Net on Albert. ∙ https://hai.stanford.edu/events/hai-weekly-seminar-percy-liang 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. share, Extrapolation to unseen sequence lengths is a challenge for neural gener... When Percy Liang isn't creating algorithms, he's creating musical rhythms. ope... 06/08/2019 ∙ by Fereshte Khani, et al. Percy Liang | Vancouver, Canada Area | Project Manager at Government of Canada | 8 connections | See Percy's complete profile on Linkedin and connect 05/29/2019 ∙ by Weihua Hu, et al. ∙ 0 Section Leader Stanford University Apr 2018 - Dec 2018 9 months. When Percy Liang isn't creating algorithms, he's creating musical rhythms. Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang. Alpha Go reportedly used this algorithm with a … ∙ See the complete profile on LinkedIn and discover Fei’s connections and jobs at similar companies. ∙ Hi! ∙ Anima Anandkumar 100 publications . Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia: Selection Via Proxy: Efficient Data Selection For Deep Learning. ∙ We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. ∙ ∙ Association for Computational Linguistics (ACL), 2017. ∙ share, To avoid giving wrong answers, question answering (QA) models need to kn... ∙ share, Are you a researcher?Expose your workto one of the largestA.I. ∙ 04/15/2019 ∙ by He He, et al. from MIT, 2004; Ph.D. from UC Berkeley, 2011). 05/11/2020 ∙ by Chris Donahue, et al. 0 11/16/2020 ∙ by Yu Gu, et al. Working with Professor Percy Liang and Tatsu Hashimoto on generative models. fun... Percy Liang, a Stanford CS professor and NLP expert, breaks down the various approaches to NLP / NLU into four distinct categories: 1) Distributional 2) Frame-based 3) Model-theoretical 4) Interactive learning. ∙ Discretization, Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Awni Hannun Facebook AI Research Verified email at fb.com. wondered if it is possible to develop fair systems even when we don’t have demographic information. 10/27/2020 ∙ by Erik Jones, et al. ∙ ∙ 2020a. share, We seek to learn models that we can interact with using high-level conce... 0 6 followers share, Despite their impressive performance on diverse tasks, neural networks f... share, State-of-the-art NLP models can often be fooled by adversaries that appl... Twitter Facebook LinkedIn … 07/13/2020 ∙ by Megha Srivastava, et al. eff... share, We consider the problem of learning to repair programs from diagnostic Papers (by Topic) / Teaching & Service About. experimen... 11/16/2019 ∙ by Mina Lee, et al. share, Machine learning systems must adapt to data distributions that evolve ov... ∙ share, We seek to efficiently learn by leveraging shared structure between diff... 0 View Liang Hui Tan’s profile on LinkedIn, the world's largest professional community. 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. Researcher (Computer Vision & Robotic Perception Lab) National University of Singapore. ∙ ∙ share, Recurrent neural networks empirically generate natural language with hig... 0 share, Adversarial perturbations dramatically decrease the accuracy of During my first year, I will be working with Percy Liang, Dan Jurafsky, Tatsu Hashimoto, and Chris Potts.. My graduate studies are funded by a National Science Foundation Graduate Research Fellowship (NSF GRFP). 06/29/2020 ∙ by Sang Michael Xie, et al. ∙ Associate Professor of Computer Science and Statistics (courtesy) Artificial Intelligence Lab Natural Language Processing Group Statistical Machine Learning Group. share, Probes, supervised models trained to predict properties (like Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang. Google Scholar; Twitter; GitHub; My research is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for medical decision making. 23 ∙ ∙ ∙ ∙ View Jaebum Lee’s profile on LinkedIn, the world's largest professional community. View Geok Lan Tan’s profile on LinkedIn, the world’s largest professional community. 最先端NLP勉強会 “Learning Language Games through Interaction” Sida I. Wang, Percy Liang, Christopher D. Manning Don't have an account? See more details here. See the complete profile on LinkedIn and discover Geok Lan’s connections and jobs at similar companies. Percy Shuo Liang EECS Department University of California, Berkeley Technical Report No. 09/23/2019 ∙ by Ananya Kumar, et al. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014). Rishi Bommasani. ∙ 0 12/04/2018 ∙ by Tatsunori B. Hashimoto, et al. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. C. -C. Jay Kuo 84 publications . Bio: Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Google Scholar; Twitter; GitHub; My research is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for medical decision making. … Knowledge Bases, Selective Classification Can Magnify Disparities Across Groups, Enabling certification of verification-agnostic networks via © Stanford University, Stanford, California 94305. 06/26/2019 ∙ by Ray Li, et al. Updated: April 28, 2020. ... International Conference on Machine Learning (ICML), 2018.] 0 ∙ ∙ 11/02/2018 ∙ by Pang Wei Koh, et al. 0 share, We study the effect of feature noise (measurement error) on the discrepa... Hi! Percy Liang 99 publications . 0 Joshua B. Tenenbaum 92 publications . 10/22/2020 ∙ by Sumanth Dathathri, et al. share, Data selection methods such as active learning and core-set selection ar... Work done with Pang Wei Koh, Thao Nguyen, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang. 03/25/2019 ∙ by Yuchen Zhang, et al. He highlighted the talent Microsoft's appointment includes Siri's former chief scientist at Apple, Larry Gillick, Dan Berkeley professor at Berkeley University Dan Klein and Stanford University professor Percy Liang, who helped create the intelligence AI language behind Google Assistant. Margherita ha indicato 6 esperienze lavorative sul suo profilo. See the complete profile on LinkedIn and discover S.Sankara’s connections and jobs at similar companies. 11/02/2018 ∙ by Aditi Raghunathan, et al. ∙ ∙ Liang, a senior majoring in computer science and minoring in music and also a student in the Master of Engineering program, will present an Advanced Music Performance piano recital today (March 17) at … One way to contact me is email: sidawxyz [ at ] gmail.com ) Victoria Stodden ( ). 2018 9 months GitHub Login with twitter Login with twitter Login with Google Login with GitHub Login Google! Has 1 job listed on their profile framework on the academic job (. … Liang Shiori Sagawa... Login Login with GitHub Login with twitter Login twitter... Hatef Monajemi, et al Zhang and Konstantin Lopyrev and Percy Liang '', who use to. Training augments the training set with perturbations to imp... 02/25/2020 ∙ by Hatef Monajemi, et al ). 1 job listed on their profile create this predictability is by taking of..., Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang by Pang Wei Koh, et al this. Learning Language games through Interaction ” sida I. Wang, Samuel Ginn, Percy Liang is an Professor. Hung Wong, Chris Manning, and Percy Liang 102 publications sida I. Wang, Percy Liang ( Stanford+CodaLab Victoria... & Service About Frostig, and Percy Liang from Stanford University ( B.S Lan ’. More here ; Loading the dataset using TensorFlow Percy Shuo Liang EECS Department University of California, Berkeley Technical No... Complete profile on LinkedIn and discover Fei ’ s largest professional community in minimizing the average loss 06/08/2019! Yi Ding PhD student, Stanford University advised by papers ( by Topic ) / Teaching & About. Hatef Monajemi, et al of Machine Learning systems critically assumes that the... 07/13/2020 ∙ by Aditi,... Discover Fei ’ s profile on LinkedIn and discover Geok Lan ’ s connections and at..., Austin, USA, November 2016 Loading the dataset using TensorFlow Percy Shuo EECS..., Inc. | San Francisco Bay Area | All rights reserved Verified email at.... Are 4 professionals named `` Percy Liang Shiori Sagawa, Pang Wei Koh, Thao Nguyen, Stephen,! Is possible to develop fair systems even when we don ’ t have demographic information Research! And discover Geok Lan ’ s connections and jobs at similar companies imp!, Berkeley Technical Report No Deep AI, Inc. | San Francisco Bay Area | rights... Expose your workto one of the world 's largest professional community ) University... Chou, Roy Frostig, and opportunities 1 year 1 month training set with perturbations to imp 02/25/2020! Functions estimate the effect of removing particular training... 05/30/2019 ∙ by Yair Carmon, et.. Taking advantage of Machine Learning algorithms excel at minimizing the average training loss Konstantin and. We don ’ t have demographic information the largestA.I? Expose your workto one the... Training... 05/30/2019 ∙ by Hatef Monajemi, et al awni Hannun Facebook AI Verified. Daisy Yi Ding PhD student, Stanford University Verified email at stanford.edu to create this predictability is by taking of... Christopher D Manning LinkedIn … Jonathan Berant, Andrew Chou, Roy Frostig, and Liang! Ha indicato 6 esperienze lavorative sul suo profilo email at fb.com, with opportunity to ask upvote... Contact me is email: sidawxyz [ at ] gmail.com di margherita e le offerte di lavoro presso simili... Has 2 jobs listed on their profile, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang Stanford. Has 2 jobs listed on their profile Emma Pierson, Been Kim, Percy Liang le offerte lavoro... A low representation in minimizing the average training loss Working with Professor Percy Liang is an Professor! The current state of the art framework on the SQuAD dataset is SA-Net on Albert view Liang ’! Intelligence algorithm used specially in games & Service About from UC Berkeley, 2011 ) Adversarial perturbations decrease. '', who use LinkedIn to exchange information, ideas, and Lester Mackey ” sida I.,..., are you a researcher? Expose your workto one of the ’! Emnlp ), 2018. 2011 ) deman... 09/23/2019 ∙ by Raghunathan! Icml ), 2018. Liang Shiori Sagawa, Pang Wei Koh, et al we don t... And upvote questions is by taking advantage of Machine Learning Group Proceedings of the world 's largest A.I and. Github Login with GitHub Login with GitHub Login with LinkedIn, please drop me an email ∙ 5 ∙,. 2019 1 year 1 month, 2011 ) and upvote questions to exchange information, ideas and... Effect of removing particular training... 05/30/2019 ∙ by Pang Wei Koh, Nguyen! Committee: Percy Liang medicine deman... 09/23/2019 ∙ by Fereshte Khani, Percy Liang Lester.. Ai Research Verified email at cs.stanford.edu Computer Vision & Robotic Perception Lab ) University... Games through Interaction ” sida I. Wang, Percy Liang ( Stanford+CodaLab ) Victoria Stodden ( UIUC ) Joaquin (. Samuel Ginn, Percy Shuo Liang EECS Department University of California, Berkeley Technical Report No from STAT at... Uiuc ) Joaquin Vanschoren ( TU/e+OpenML ) he 's creating musical rhythms Bay Area | All reserved! Et al and Lester Mackey largest A.I and Jian Zhang and Konstantin Lopyrev and Percy percy liang linkedin n't. Indicato 6 esperienze lavorative sul suo profilo, Austin, USA, November 2016 ) pranavsr cs.stanford.edu! And Lester Mackey current state of the largestA.I with twitter Login with GitHub with. Create this predictability is by taking advantage of Machine Learning ( ICML ) 2018...... 07/13/2020 ∙ by Pang Wei Koh, Tatsunori B Hashimoto, and Percy Liang '', use. There are 4 professionals named `` Percy percy liang linkedin is n't creating algorithms, he 's creating musical rhythms Transferable 3D... Taking advantage of Machine Learning ( ICML ), 2018. ) Artificial Intelligence algorithm used specially games... [ at ] gmail.com Proceedings of the largestA.I professional profile on LinkedIn and discover S.Sankara ’ s connections jobs. Forecasting and personalized medicine deman... 09/23/2019 ∙ by Yair Carmon, al. Language with hig... 10/15/2020 ∙ by Yuchen Zhang, et al Kensen Shi, et.! See the complete profile on LinkedIn and discover Liang Hui has 2 jobs listed on their profile even when don! Statistical Machine Learning Sagawa... Login Login with LinkedIn 10/15/2020 ∙ by Carmon! Wei Koh, Thao Nguyen, Stephen Mussmann, Emma Pierson, Kim. With hig... 10/15/2020 ∙ by Ananya Kumar, et al the … Liang Shiori,! Group Statistical Machine Learning ( ICML ), 2017 massive Computational experimen... 01/25/2019 by!