No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets. - Fahim Tajwar; Ananya Kumar; Sang Michael Xie; Percy Liang (CoRR, 2021)

Scalable deep learning to identify brick kilns and aid regulatory capacity. - Jihyeon Janel Lee; Nina R. Brooks; Fahim Tajwar; Marshall Burke; Stefano Ermon; David B. Lobell; Debashish Biswas; Stephen P. Luby (Proc. Natl. Acad. Sci. USA, 2021)

Do deep networks transfer invariances across classes? - Allan Zhou; Fahim Tajwar; Alexander Robey; Tom Knowles; George J. Pappas; Hamed Hassani; Chelsea Finn (ICLR, 2022)

When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning. - Annie Xie; Fahim Tajwar; Archit Sharma; 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)

Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias. - Max Sobol Mark; Archit Sharma; Fahim Tajwar; Rafael Rafailov; Sergey Levine; Chelsea Finn (CoRR, 2023)

Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data. - Fahim Tajwar; Anikait Singh; Archit Sharma; Rafael Rafailov; Jeff Schneider 001; Tengyang Xie; Stefano Ermon; Chelsea Finn; Aviral Kumar (ICML, 2024)

Conservative Prediction via Data-Driven Confidence Minimization. - Caroline Choi; Fahim Tajwar; Yoonho Lee 001; Huaxiu Yao; Ananya Kumar; Chelsea Finn (Trans. Mach. Learn. Res., 2024)

State Combinatorial Generalization In Decision Making With Conditional Diffusion Models. - Xintong Duan; Yutong He; Fahim Tajwar; Wentse Chen; Ruslan Salakhutdinov; Jeff G. Schneider (CoRR, 2025)

Self-Regulation and Requesting Interventions. - So Yeon Min; Yue Wu 001; Jimin Sun; Max Kaufmann; Fahim Tajwar; Yonatan Bisk; Ruslan Salakhutdinov (CoRR, 2025)

Training a Generally Curious Agent. - Fahim Tajwar; Yiding Jiang; Abitha Thankaraj; Sumaita Sadia Rahman; J. Zico Kolter; Jeff Schneider 001; Ruslan Salakhutdinov (CoRR, 2025)

Can Large Reasoning Models Self-Train? - Sheikh Shafayat; Fahim Tajwar; Ruslan Salakhutdinov; Jeff G. Schneider; Andrea Zanette (CoRR, 2025)

Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation. - Xintong Duan; Yutong He; Fahim Tajwar; Ruslan Salakhutdinov; J. Zico Kolter; Jeff G. Schneider (CoRR, 2025)

Reasoning as an Adaptive Defense for Safety. - Taeyoun Kim; Fahim Tajwar; Aditi Raghunathan; Aviral Kumar (CoRR, 2025)