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View Code? Open in Web Editor NEW[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
Great work!
Does the loss value be negative during the training if we use the negative labels? When the feature collapse to the class prototype, the logit will be strict one-hot. It seems that the loss value -> -infinity.
Thanks for your great work!
I wonder do you report the best ACC rather than the final ACC in training in Tables 1-4?
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