Oscar Li - RankMe

20 papers A* 7B 1Misc 1Journal 11

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