Li, Oscar

7 publications

ICMLW 2024 GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith

TMLR 2024 OmniPred: Language Models as Universal Regressors Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

NeurIPS 2023 Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz

ICLR 2022 Label Leakage and Protection in Two-Party Split Learning Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang

NeurIPS 2021 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Setlur, Oscar Li, Virginia Smith

NeurIPS 2019 This Looks like That: Deep Learning for Interpretable Image Recognition Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan K Su

AAAI 2018 Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin