2024
Improving robustness to corruptions with multiplicative weight perturbations
NeurIPS 2024spotlight
Deep neural networks (DNNs) excel on clean images but struggle with corrupted ones. Incorporating specific corruptions into the data augmentation pipeline can improve robustness to those corruptions but may harm performance on clean images and other types of distortion. In this paper, we introduce a…