Oscar Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Topics

Biometric Template

Gradient Estimation

Image Recognition

Top Venues

USENIX Security Symposium

Publications

Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
OmniPred: Language Models as Universal Regressors. CoRR (2024)
Aashiq Muhamed, Oscar Li, David Woodruff, Mona Diab, Virginia Smith
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. CoRR (2024)
Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz
Noise-Reuse in Online Evolution Strategies. CoRR (2023)
Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies. NeurIPS (2023)
Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
Label Leakage and Protection in Two-party Split Learning. ICLR (2022)
Amrith Setlur, Oscar Li, Virginia Smith
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution. NeurIPS (2021)
Amrith Setlur, Oscar Li, Virginia Smith
Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods. CoRR (2021)
Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
Label Leakage and Protection in Two-party Split Learning. CoRR (2021)
Amrith Setlur, Oscar Li, Virginia Smith
Is Support Set Diversity Necessary for Meta-Learning? CoRR (2020)
Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su
This Looks Like That: Deep Learning for Interpretable Image Recognition. NeurIPS (2019)
Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin
Interpretable Image Recognition with Hierarchical Prototypes. HCOMP (2019)
Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin
Interpretable Image Recognition with Hierarchical Prototypes. CoRR (2019)
Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin
This looks like that: deep learning for interpretable image recognition. CoRR (2018)
Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. AAAI (2018)
Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions. CoRR (2017)
Yixin Sun, Anne Edmundson, Laurent Vanbever, Oscar Li, Jennifer Rexford, Mung Chiang, Prateek Mittal
RAPTOR: Routing Attacks on Privacy in Tor. CoRR (2015)
Yixin Sun, Anne Edmundson, Laurent Vanbever, Oscar Li, Jennifer Rexford, Mung Chiang, Prateek Mittal
RAPTOR: Routing Attacks on Privacy in Tor. USENIX Security Symposium (2015)
Laurent Vanbever, Oscar Li, Jennifer Rexford, Prateek Mittal
Anonymity on QuickSand: Using BGP to Compromise Tor. HotNets (2014)