Oscar Li

According to our database1, Oscar Li authored at least 14 papers between 2014 and 2024.

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Bibliography

2024
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients.
CoRR, 2024

OmniPred: Language Models as Universal Regressors.
CoRR, 2024

2023
Noise-Reuse in Online Evolution Strategies.
CoRR, 2023

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies.
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.
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.
CoRR, 2021

Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution.
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?
CoRR, 2020

2019
This Looks Like That: Deep Learning for Interpretable Image Recognition.
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.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

2018
This looks like that: deep learning for interpretable image recognition.
CoRR, 2018

Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015
RAPTOR: Routing Attacks on Privacy in Tor.
Proceedings of the 24th USENIX Security Symposium, 2015

2014
Anonymity on QuickSand: Using BGP to Compromise Tor.
Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014


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