Just Train Twice: Improving Group Robustness without Training Group Information. - Evan Zheran Liu; Behzad Haghgoo; Annie S. Chen; Aditi Raghunathan; Pang Wei Koh; Shiori Sagawa; Percy Liang; Chelsea Finn (ICML, 2021)

Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos. - Annie S. Chen; Suraj Nair 003; Chelsea Finn (Robotics: Science and Systems, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Batch Exploration With Examples for Scalable Robotic Reinforcement Learning. - Annie S. Chen; HyunJi Nam; Suraj Nair 003; Chelsea Finn (IEEE Robotics Autom. Lett., 2021)

You Only Live Once: Single-Life Reinforcement Learning. - Annie S. Chen; Archit Sharma; Sergey Levine; Chelsea Finn (NeurIPS, 2022)

Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. - Yoonho Lee 001; Annie S. Chen; Fahim Tajwar; Ananya Kumar; Huaxiu Yao; Percy Liang; Chelsea Finn (ICLR, 2023)

Language-Driven Representation Learning for Robotics. - Siddharth Karamcheti; Suraj Nair 003; Annie S. Chen; Thomas Kollar; Chelsea Finn; Dorsa Sadigh; Percy Liang (Robotics: Science and Systems, 2023)

Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features. - Annie S. Chen; Yoonho Lee 001; Amrith Setlur; Sergey Levine; Chelsea Finn (CoRR, 2023)

Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts. - Annie S. Chen; Yoonho Lee 001; Amrith Setlur; Sergey Levine; Chelsea Finn (CoRR, 2023)

Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment. - Annie S. Chen; Govind Chada; Laura M. Smith; Archit Sharma; Zipeng Fu; Sergey Levine; Chelsea Finn (CoRR, 2023)

Calibrating Language Models with Adaptive Temperature Scaling. - Johnathan Xie; Annie S. Chen; Yoonho Lee 001; Eric Mitchell; Chelsea Finn (EMNLP, 2024)

Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features. - Annie S. Chen; Yoonho Lee 001; Amrith Setlur; Sergey Levine; Chelsea Finn (ICLR, 2024)

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. - Johnathan Xie; Yoonho Lee 001; Annie S. Chen; Chelsea Finn (ICLR, 2024)

RLVF: Learning from Verbal Feedback without Overgeneralization. - Moritz Stephan; Alexander Khazatsky; Eric Mitchell; Annie S. Chen; Sheryl Hsu; Archit Sharma; Chelsea Finn (ICML, 2024)

AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data. - Caroline Choi; Yoonho Lee 001; Annie S. Chen; Allan Zhou; Aditi Raghunathan; Chelsea Finn (CoRR, 2024)

Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. - Annie S. Chen; Alec M. Lessing; Andy Tang; Govind Chada; Laura M. Smith; Sergey Levine; Chelsea Finn (CoRR, 2024)

Safety Representations for Safer Policy Learning. - Kaustubh Mani; Vincent Mai; Charlie Gauthier; Annie S. Chen; Samer B. Nashed; Liam Paull (ICLR, 2025)

Curating Demonstrations using Online Experience. - Annie S. Chen; Alec M. Lessing; Yuejiang Liu; Chelsea Finn (CoRR, 2025)

Reinforcement Learning via Implicit Imitation Guidance. - Perry Dong; Alec M. Lessing; Annie S. Chen; Chelsea Finn (CoRR, 2025)