More from the Same Authors

• 2022 : LinkBERT: Language Model Pretraining with Document Link Knowledge »
  Michihiro Yasunaga · Jure Leskovec · Percy Liang
• 2023 Workshop: Workshop on Efficient Systems for Foundation Model »
  Julien Launay · Daniel Y Fu · Tri Dao · Daniel Hesslow · Beidi Chen · Azalia Mirhoseini · Percy Liang
• 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