Oscar Li

According to our database, Oscar Li authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

OmniPred: Language Models as Universal Regressors.

Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

CoRR, 2024

2023

Noise-Reuse in Online Evolution Strategies.

Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz

CoRR, 2023

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies.

Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods.

Amrith Setlur, Oscar Li, Virginia Smith

CoRR, 2021

Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution.

Amrith Setlur, Oscar Li, Virginia Smith

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Is Support Set Diversity Necessary for Meta-Learning?

Amrith Setlur, Oscar Li, Virginia Smith

CoRR, 2020

2019

This Looks Like That: Deep Learning for Interpretable Image Recognition.

Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interpretable Image Recognition with Hierarchical Prototypes.

Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

2018

This looks like that: deep learning for interpretable image recognition.

Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin

CoRR, 2018

Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions.

Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

RAPTOR: Routing Attacks on Privacy in Tor.

Yixin Sun, Anne Edmundson, Laurent Vanbever, Oscar Li, Jennifer Rexford, Mung Chiang, Prateek Mittal

Proceedings of the 24th USENIX Security Symposium, 2015

2014

Anonymity on QuickSand: Using BGP to Compromise Tor.

Laurent Vanbever, Oscar Li, Jennifer Rexford, Prateek Mittal

Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014