Grace Lam

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 3

Top Topics

Manifold Regularization

Abstract Machine

Top Venues

Publications

Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn
OpenVLA: An Open-Source Vision-Language-Action Model. CoRR (2024)
Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy
RLHF and IIA: Perverse Incentives. CoRR (2023)
Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William Wells, Steven Horng, Polina Golland
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR (2019)