Oscar Li
Oscar Li
Machine Learning Department, Carnegie Mellon University
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This looks like that: deep learning for interpretable image recognition
C Chen, O Li, D Tao, A Barnett, C Rudin, JK Su
Advances in Neural Information Processing Systems, 8928-8939, 2019
Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions
O Li, H Liu, C Chen, C Rudin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Label Leakage and Protection in Two-party Split Learning
O Li, J Sun, X Yang, W Gao, H Zhang, J Xie, V Smith, C Wang
International Conference on Learning Representations, 2022
Interpretable image recognition with hierarchical prototypes
P Hase, C Chen, O Li, C Rudin
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019
Is Support Set Diversity Necessary for Meta-Learning?
A Setlur, O Li, V Smith
arXiv preprint arXiv:2011.14048, 2020
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
A Setlur, O Li, V Smith
Advances in Neural Information Processing Systems 34, 2021
OmniPred: Language Models as Universal Regressors
X Song, O Li, C Lee, D Peng, S Perel, Y Chen
arXiv preprint arXiv:2402.14547, 2024
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
O Li, J Harrison, J Sohl-Dickstein, V Smith, L Metz
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
A Muhamed, O Li, D Woodruff, M Diab, V Smith
arXiv preprint arXiv:2406.17660, 2024
Data Protection Method, Apparatus, Medium and Device
J Sun, W Gao, C Wang, H Zhang, X Liu, R Li, X Yang
US Patent 20240005210-A1, 2024
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