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Keynote #3 Percy Liang
Percy Liang
Fri Jul 17 11:00 AM -- 11:30 AM (PDT) @
Author Information
Percy Liang (Stanford University)
More from the Same Authors
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2022 : LinkBERT: Language Model Pretraining with Document Link Knowledge »
Michihiro Yasunaga · Jure Leskovec · Percy Liang -
2023 : DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining »
Sang Michael Xie · Hieu Pham · Xuanyi Dong · Nan Du · Hanxiao Liu · Yifeng Lu · Percy Liang · Quoc Le · Tengyu Ma · Adams Wei Yu -
2023 : Retrieval-Augmented Multimodal Language Modeling »
Michihiro Yasunaga · Armen Aghajanyan · Weijia Shi · Rich James · Jure Leskovec · Percy Liang · Mike Lewis · Luke Zettlemoyer · Wen-tau Yih -
2023 : Lexinvariant Language Models »
Qian Huang · Eric Zelikman · Sarah Chen · Yuhuai Wu · Greg Valiant · Percy Liang -
2023 : PRODIGY: Enabling In-context Learning Over Graphs »
Qian Huang · Hongyu Ren · Peng Chen · Gregor Kržmanc · Daniel Zeng · Percy Liang · Jure Leskovec -
2023 : Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training »
Hong Liu · Zhiyuan Li · David Hall · Percy Liang · Tengyu Ma -
2023 Workshop: ES-FoMo: Efficient Systems for Foundation Models »
Julien Launay · Daniel Y Fu · Tri Dao · Daniel Hesslow · Beidi Chen · Azalia Mirhoseini · Percy Liang -
2023 Poster: Whose Opinions Do Language Models Reflect? »
Shibani Santurkar · Esin Durmus · Faisal Ladhak · Cinoo Lee · Percy Liang · Tatsunori Hashimoto -
2023 Poster: FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU »
Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang -
2023 Oral: FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU »
Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang -
2023 Oral: Whose Opinions Do Language Models Reflect? »
Shibani Santurkar · Esin Durmus · Faisal Ladhak · Cinoo Lee · Percy Liang · Tatsunori Hashimoto -
2023 Oral: Evaluating Self-Supervised Learning via Risk Decomposition »
Yann Dubois · Tatsunori Hashimoto · Percy Liang -
2023 Poster: Evaluating Self-Supervised Learning via Risk Decomposition »
Yann Dubois · Tatsunori Hashimoto · Percy Liang -
2023 Poster: CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks »
Jue Wang · Yucheng Lu · Binhang Yuan · Beidi Chen · Percy Liang · Chris De Sa · Christopher Re · Ce Zhang -
2023 Poster: Out-of-Domain Robustness via Targeted Augmentations »
Irena Gao · Shiori Sagawa · Pang Wei Koh · Tatsunori Hashimoto · Percy Liang -
2023 Poster: One-sided Matrix Completion from Two Observations Per Row »
Steven Cao · Percy Liang · Greg Valiant -
2023 Poster: Retrieval-Augmented Multimodal Language Modeling »
Michihiro Yasunaga · Armen Aghajanyan · Weijia Shi · Richard James · Jure Leskovec · Percy Liang · Mike Lewis · Luke Zettlemoyer · Scott Yih -
2022 : Discussion Panel »
Percy Liang · Léon Bottou · Jayashree Kalpathy-Cramer · Alex Smola -
2022 Workshop: The First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward »
Huaxiu Yao · Hugo Larochelle · Percy Liang · Colin Raffel · Jian Tang · Ying WEI · Saining Xie · Eric Xing · Chelsea Finn -
2022 Poster: Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation »
Kendrick Shen · Robbie Jones · Ananya Kumar · Sang Michael Xie · Jeff Z. HaoChen · Tengyu Ma · Percy Liang -
2022 Oral: Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation »
Kendrick Shen · Robbie Jones · Ananya Kumar · Sang Michael Xie · Jeff Z. HaoChen · Tengyu Ma · Percy Liang -
2021 Poster: WILDS: A Benchmark of in-the-Wild Distribution Shifts »
Pang Wei Koh · Shiori Sagawa · Henrik Marklund · Sang Michael Xie · Marvin Zhang · Akshay Balsubramani · Weihua Hu · Michihiro Yasunaga · Richard Lanas Phillips · Irena Gao · Tony Lee · Etienne David · Ian Stavness · Wei Guo · Berton Earnshaw · Imran Haque · Sara Beery · Jure Leskovec · Anshul Kundaje · Emma Pierson · Sergey Levine · Chelsea Finn · Percy Liang -
2021 Poster: Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization »
Sang Michael Xie · Tengyu Ma · Percy Liang -
2021 Oral: WILDS: A Benchmark of in-the-Wild Distribution Shifts »
Pang Wei Koh · Shiori Sagawa · Henrik Marklund · Sang Michael Xie · Marvin Zhang · Akshay Balsubramani · Weihua Hu · Michihiro Yasunaga · Richard Lanas Phillips · Irena Gao · Tony Lee · Etienne David · Ian Stavness · Wei Guo · Berton Earnshaw · Imran Haque · Sara Beery · Jure Leskovec · Anshul Kundaje · Emma Pierson · Sergey Levine · Chelsea Finn · Percy Liang -
2021 Oral: Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization »
Sang Michael Xie · Tengyu Ma · Percy Liang -
2021 Poster: Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization »
John Miller · Rohan Taori · Aditi Raghunathan · Shiori Sagawa · Pang Wei Koh · Vaishaal Shankar · Percy Liang · Yair Carmon · Ludwig Schmidt -
2021 Poster: Break-It-Fix-It: Unsupervised Learning for Program Repair »
Michihiro Yasunaga · Percy Liang -
2021 Oral: Break-It-Fix-It: Unsupervised Learning for Program Repair »
Michihiro Yasunaga · Percy Liang -
2021 Spotlight: Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization »
John Miller · Rohan Taori · Aditi Raghunathan · Shiori Sagawa · Pang Wei Koh · Vaishaal Shankar · Percy Liang · Yair Carmon · Ludwig Schmidt -
2021 Poster: Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices »
Evan Liu · Aditi Raghunathan · Percy Liang · Chelsea Finn -
2021 Spotlight: Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices »
Evan Liu · Aditi Raghunathan · Percy Liang · Chelsea Finn -
2021 Poster: Catformer: Designing Stable Transformers via Sensitivity Analysis »
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang -
2021 Poster: Just Train Twice: Improving Group Robustness without Training Group Information »
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn -
2021 Spotlight: Catformer: Designing Stable Transformers via Sensitivity Analysis »
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang -
2021 Oral: Just Train Twice: Improving Group Robustness without Training Group Information »
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn -
2020 Poster: Concept Bottleneck Models »
Pang Wei Koh · Thao Nguyen · Yew Siang Tang · Stephen Mussmann · Emma Pierson · Been Kim · Percy Liang -
2020 Poster: Graph-based, Self-Supervised Program Repair from Diagnostic Feedback »
Michihiro Yasunaga · Percy Liang -
2020 Poster: Understanding Self-Training for Gradual Domain Adaptation »
Ananya Kumar · Tengyu Ma · Percy Liang -
2020 Poster: Understanding and Mitigating the Tradeoff between Robustness and Accuracy »
Aditi Raghunathan · Sang Michael Xie · Fanny Yang · John Duchi · Percy Liang -
2020 Poster: An Investigation of Why Overparameterization Exacerbates Spurious Correlations »
Shiori Sagawa · aditi raghunathan · Pang Wei Koh · Percy Liang -
2020 Poster: Robustness to Spurious Correlations via Human Annotations »
Megha Srivastava · Tatsunori Hashimoto · Percy Liang -
2020 Poster: Feature Noise Induces Loss Discrepancy Across Groups »
Fereshte Khani · Percy Liang -
2019 Workshop: Workshop on the Security and Privacy of Machine Learning »
Nicolas Papernot · Florian Tramer · Bo Li · Dan Boneh · David Evans · Somesh Jha · Percy Liang · Patrick McDaniel · Jacob Steinhardt · Dawn Song -
2018 Poster: On the Relationship between Data Efficiency and Error for Uncertainty Sampling »
Stephen Mussmann · Percy Liang -
2018 Poster: Fairness Without Demographics in Repeated Loss Minimization »
Tatsunori Hashimoto · Megha Srivastava · Hongseok Namkoong · Percy Liang -
2018 Oral: Fairness Without Demographics in Repeated Loss Minimization »
Tatsunori Hashimoto · Megha Srivastava · Hongseok Namkoong · Percy Liang -
2018 Oral: On the Relationship between Data Efficiency and Error for Uncertainty Sampling »
Stephen Mussmann · Percy Liang -
2017 Poster: World of Bits: An Open-Domain Platform for Web-Based Agents »
Tim Shi · Andrej Karpathy · Jim Fan · Jonathan Hernandez · Percy Liang -
2017 Talk: World of Bits: An Open-Domain Platform for Web-Based Agents »
Tim Shi · Andrej Karpathy · Jim Fan · Jonathan Hernandez · Percy Liang -
2017 Poster: Developing Bug-Free Machine Learning Systems With Formal Mathematics »
Daniel Selsam · Percy Liang · David L Dill -
2017 Talk: Developing Bug-Free Machine Learning Systems With Formal Mathematics »
Daniel Selsam · Percy Liang · David L Dill -
2017 Poster: Convexified Convolutional Neural Networks »
Yuchen Zhang · Percy Liang · Martin Wainwright -
2017 Poster: Understanding Black-box Predictions via Influence Functions »
Pang Wei Koh · Percy Liang -
2017 Talk: Convexified Convolutional Neural Networks »
Yuchen Zhang · Percy Liang · Martin Wainwright -
2017 Talk: Understanding Black-box Predictions via Influence Functions »
Pang Wei Koh · Percy Liang