| 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 | 1227 | 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 | 618 | 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 | 137 | 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 | 113 | 2019 |
| Is Support Set Diversity Necessary for Meta-Learning? A Setlur, O Li, V Smith arXiv preprint arXiv:2011.14048, 2020 | 16 | 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 | 15 | 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 | 4 | 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 | 1* | 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 | | 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 | | 2024 |
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University在 cs.duke.edu 的电子邮件经过验证
