Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification
arXiv:2609.39829v1 Announce Type: new Abstract: Modern machine learning depends heavily on massive datasets, but obtaining high-quality annotations at scale is often expensive. As a result, learning from noisily-labeled data has become common, making accurate estimation of the label-noise transitio…
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- 2026-10-01 04:00 · arXiv stat.ML
Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification