Robust Learning Under Label Noise With Iterative Noise-Filtering

1 Jun 2019Duc Tam NguyenThi-Phuong-Nhung NgoZhongyu LouMichael KlarLaura BeggelThomas Brox

We consider the problem of training a model under the presence of label noise. Current approaches identify samples with potentially incorrect labels and reduce their influence on the learning process by either assigning lower weights to them or completely removing them from the training set... (read more)

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