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In the supplementary of paper, it writes that as CIFAR-100 and CIFAR-10 have the different number of classes, to apply a MentorNet, we fix the class label to 0. It's not clear which label is fix to 0, because there are two labes for samples, i.e., clean labels and noisy labels.
The text was updated successfully, but these errors were encountered:
On Tue, Sep 10, 2019 at 1:49 AM ruirui88 ***@***.***> wrote:
In the supplementary of paper, it writes that as CIFAR-100 and CIFAR-10
have the different number of classes, to apply a MentorNet, we fix the
class label to 0. It's not clear which label is fix to 0, because there are
two labes for samples, i.e., clean labels and noisy labels.
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In the supplementary of paper, it writes that as CIFAR-100 and CIFAR-10 have the different number of classes, to apply a MentorNet, we fix the class label to 0. It's not clear which label is fix to 0, because there are two labes for samples, i.e., clean labels and noisy labels.
The text was updated successfully, but these errors were encountered: