Annie S. Chen - RankMe

32 papers A* 9A 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. ICRA Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura Smith, Sergey Levine, Chelsea Finn
2025	J	`jnl`	Curating Demonstrations using Online Experience. CoRR Annie S. Chen, Alec M. Lessing, Yuejiang Liu, Chelsea Finn
2025	A	`conf`	Exploiting Policy Idling for Dexterous Manipulation. IROS Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy Han Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao
2025	J	`jnl`	Exploiting Policy Idling for Dexterous Manipulation. CoRR Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy H. Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao
2025	J	`jnl`	Reinforcement Learning via Implicit Imitation Guidance. CoRR Perry Dong, Alec M. Lessing, Annie S. Chen, Chelsea Finn
2025	A*	`conf`	Safety Representations for Safer Policy Learning. ICLR Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie S. Chen, Samer B. Nashed, Liam Paull
2025	J	`jnl`	Safety Representations for Safer Policy Learning. CoRR Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie S. Chen, Samer B. Nashed, Liam Paull
2024	J	`jnl`	AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data. CoRR Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn
2024	A*	`conf`	Calibrating Language Models with Adaptive Temperature Scaling. EMNLP Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn
2024	J	`jnl`	Calibrating Language Models with Adaptive Temperature Scaling. CoRR Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn
2024	J	`jnl`	Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. CoRR Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura Smith, Sergey Levine, Chelsea Finn
2024	A*	`conf`	Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features. ICLR Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
2024	A*	`conf`	RLVF: Learning from Verbal Feedback without Overgeneralization. ICML Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn
2024	J	`jnl`	RLVF: Learning from Verbal Feedback without Overgeneralization. CoRR Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn
2024	A*	`conf`	Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. ICLR Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn
2024	J	`jnl`	Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. CoRR Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn
2023	J	`jnl`	Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment. CoRR Annie S. Chen, Govind Chada, Laura Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn
2023	J	`jnl`	Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts. CoRR Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
2023	—	`conf`	Language-Driven Representation Learning for Robotics. Robotics: Science and Systems Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang
2023	J	`jnl`	Language-Driven Representation Learning for Robotics. CoRR Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang
2023	J	`jnl`	Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features. CoRR Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
2023	A*	`conf`	Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. ICLR Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
2022	J	`jnl`	Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. CoRR Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
2022	A*	`conf`	You Only Live Once: Single-Life Reinforcement Learning. NeurIPS Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn
2022	J	`jnl`	You Only Live Once: Single-Life Reinforcement Learning. CoRR Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn
2021	J	`jnl`	Batch Exploration With Examples for Scalable Robotic Reinforcement Learning. IEEE Robotics Autom. Lett. Annie S. Chen, Hyunji Nam, Suraj Nair, Chelsea Finn
2021	A*	`conf`	Just Train Twice: Improving Group Robustness without Training Group Information. ICML Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
2021	J	`jnl`	Just Train Twice: Improving Group Robustness without Training Group Information. CoRR Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
2021	—	`conf`	Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos. Robotics: Science and Systems Annie S. Chen, Suraj Nair, Chelsea Finn
2021	J	`jnl`	Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos. CoRR Annie S. Chen, Suraj Nair, Chelsea Finn
2021	J	`jnl`	On the Opportunities and Risks of Foundation Models. CoRR Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
2020	J	`jnl`	Batch Exploration with Examples for Scalable Robotic Reinforcement Learning. CoRR Annie S. Chen, Hyunji Nam, Suraj Nair, Chelsea Finn