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Jing Xing

1 accepted papers

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…

Cited by 0SourceScholar