2026
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness
ICML 2026spotlight
Model robustness against natural image corruptions is essential for safety-critical applications. While existing methods primarily focus on implicit representation learning, we provide the first systematic exploration of computational pathways to explicitly characterize internal robustness. We ident…