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When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification

arXiv cs.LG · 2026-08-24 Cached

This paper demonstrates that monotone adversarial corruptions can make certain multiclass and partial binary classification problems unlearnable, providing tight bounds on corruption budgets and extending previous results on binary classification.

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