CANOLA estimates label noise and performs cautious iterative soft-label refinement to correct corrupted training data, reporting 19-52% error reduction versus prior methods on six datasets.
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Noise-Aware Framework for Correcting Corrupted Labels
CANOLA estimates label noise and performs cautious iterative soft-label refinement to correct corrupted training data, reporting 19-52% error reduction versus prior methods on six datasets.