Distilling Effective Supervision from Severe Label Noise

CVPR 2020 Zizhao ZhangHan ZhangSercan O. ArikHonglak LeeTomas Pfister

Collecting large-scale data with clean labels for supervised training of neural networks is practically challenging. Although noisy labels are usually cheap to acquire, existing methods suffer a lot from label noise... (read more)

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