Fahim Tajwar

According to our database, Fahim Tajwar authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Conservative Prediction via Data-Driven Confidence Minimization.

Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

CoRR, 2023

Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.

Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning.

Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Do deep networks transfer invariances across classes?

Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets.

Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang

CoRR, 2021