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Oscar Li
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2020 – today
- 2024
- [c9]Aashiq Muhamed, Oscar Li, David P. Woodruff, Mona Diab, Virginia Smith:
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. EMNLP 2024: 14978-15003 - [i10]Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen:
OmniPred: Language Models as Universal Regressors. CoRR abs/2402.14547 (2024) - [i9]Aashiq Muhamed, Oscar Li, David P. Woodruff, Mona Diab, Virginia Smith:
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. CoRR abs/2406.17660 (2024) - 2023
- [c8]Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz:
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies. NeurIPS 2023 - [i8]Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz:
Noise-Reuse in Online Evolution Strategies. CoRR abs/2304.12180 (2023) - 2022
- [c7]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 - 2021
- [c6]Amrith Setlur, Oscar Li, Virginia Smith:
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution. NeurIPS 2021: 3770-3783 - [i7]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 abs/2102.08504 (2021) - [i6]Amrith Setlur, Oscar Li, Virginia Smith:
Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods. CoRR abs/2102.11503 (2021) - 2020
- [i5]Amrith Setlur, Oscar Li, Virginia Smith:
Is Support Set Diversity Necessary for Meta-Learning? CoRR abs/2011.14048 (2020)
2010 – 2019
- 2019
- [c5]Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin:
Interpretable Image Recognition with Hierarchical Prototypes. HCOMP 2019: 32-40 - [c4]Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su:
This Looks Like That: Deep Learning for Interpretable Image Recognition. NeurIPS 2019: 8928-8939 - [i4]Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin:
Interpretable Image Recognition with Hierarchical Prototypes. CoRR abs/1906.10651 (2019) - 2018
- [c3]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: 3530-3537 - [i3]Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin:
This looks like that: deep learning for interpretable image recognition. CoRR abs/1806.10574 (2018) - 2017
- [i2]Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin:
Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions. CoRR abs/1710.04806 (2017) - 2015
- [c2]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: 271-286 - [i1]Yixin Sun, Anne Edmundson, Laurent Vanbever, Oscar Li, Jennifer Rexford, Mung Chiang, Prateek Mittal:
RAPTOR: Routing Attacks on Privacy in Tor. CoRR abs/1503.03940 (2015) - 2014
- [c1]Laurent Vanbever, Oscar Li, Jennifer Rexford
, Prateek Mittal:
Anonymity on QuickSand: Using BGP to Compromise Tor. HotNets 2014: 14:1-14:7
Coauthor Index
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last updated on 2024-11-15 20:40 CET by the dblp team
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