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eamid avatar eamid commented on May 23, 2024

Hi,

We make sure that the noisy label is set to a class other than the true class. You can try this piece of code to generate the noise:

noisy_labels = (noisy_labels + np.random.uniform(low=1, high=num_classes, size=num_noisy_examples)) % num_classes

from bi-tempered-loss.

Charles-Xie avatar Charles-Xie commented on May 23, 2024

@eamid That helps. Thank you!

from bi-tempered-loss.

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