Improving robustness to corruptions with multiplicative weight perturbations
–Neural Information Processing Systems
To enhance robustness against a specific corruption, one could simply include it in the data augmentation pipeline during training. However, this approach can diminish performance on clean images and reduce robustness to other types of corruptions (Geirhos et al., 2018).
Neural Information Processing Systems
Oct-10-2025, 00:12:36 GMT
- Country:
- Europe
- Finland > Uusimaa
- Helsinki (0.04)
- United Kingdom > England
- Greater Manchester > Manchester (0.04)
- Finland > Uusimaa
- North America > United States
- Georgia > Fulton County > Atlanta (0.04)
- Europe
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Information Technology (1.00)
- Technology: