2019 (modified: 11 Nov 2022)ICML 2019Readers: Everyone
Abstract:Training neural networks under a strict Lipschitz constraint is useful for provable adversarial robustness, generalization bounds, interpretable gradients, and Wasserstein distance estimation. By t...