LiJunnan1992 / DivideMix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

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Can you share log file of training cifar10 of asym noise?

wjun0830 opened this issue · comments

Hi Junnan. I really appreciate your work and it helps me study a lot actually.

However, somehow, I cannot get the result as same as you mentioned in your paper.
It shows that asym 40% noise on cifar-10 should give 93% accuracy but what i see is middle of 80s.

Can you share your log file of asym0.4-cifar10?
image

This is image of middle of the process.

Hi, thanks for trying our code!
For asym noise, you need to set lambda_u = 0, as shown in our paper's appendix. Also, you need to finish 300 epochs to get the reported performance.

Oh i missed that. Thanks

Hi Junnan, could you explain a bit why unlabeled part loss should be avoid in asym noise mode? Thanks so much!

Hi,
the labeled loss already contain information for the unlabeled samples because of mixup, and we found the extra regularization of the unlabeled loss to be not necessary.