Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot J Su, Y Chen, T Cai, T Wu, R Gao, L Wang, JD Lee NeurIPS 2020; arXiv preprint arXiv:2009.11094, 2020 | 76 | 2020 |
Can we achieve robustness from data alone? N Tsilivis, J Su, J Kempe ICML Workshop on New Frontiers in Adversarial Machine Learning, 2022, 2022 | 17 | 2022 |
Adversarial Noise Injection for Learned Turbulence Simulations J Su, J Kempe, D Fielding, N Tsilivis, M Cranmer, S Ho NeurIPS Workshop on Machine Learning and the Physical Sciences, 2022, 2022 | 5 | 2022 |
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization S Xin, Y Wang, J Su, Y Wang AAAI 2023, 2022 | 2 | 2022 |
On the Robustness of Neural Collapse and the Neural Collapse of Robustness J Su, YS Zhang, N Tsilivis, J Kempe arXiv preprint arXiv:2311.07444, 2023 | 1 | 2023 |
Domain-wise Adversarial Training for Out-of-Distribution Generalization S Xin, Y Wang, J Su, Y Wang | 1 | 2022 |
Wavelets Beat Monkeys at Adversarial Robustness J Su, J Kempe NeurIPS Workshop on Machine Learning and the Physical Sciences, 2022, 2022 | 1 | 2022 |