85690f81aadc1749175c187784afc9ee-Paper.pdf

Feb-9-2026, 05:30:06 GMT–Neural Information Processing Systems

We here argue that popular benchmarks to measure model robustness againstcommon corruptions (likeImageNet-C) underestimate model robustness in many (but not all) application scenarios. The key insight is that inmanyscenarios, multiple unlabeled examples ofthe corruptions are available and can be used for unsupervised online adaptation.

artificial intelligence, machine learning, statistics, (17 more...)

Neural Information Processing Systems

Feb-9-2026, 05:30:06 GMT

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