Comments (3)
Hi, if you check the code of SL and D2L, you will find there are some difference on implementation, e.g., optimizer. For the comparison, I suggest you to re-run the code using your own setting.
from symmetric_cross_entropy_for_noisy_labels.
Thanks.
Then, in your SL, Does Bootstrap denote Bootstrap-soft?
from symmetric_cross_entropy_for_noisy_labels.
Bootstrap-hard
from symmetric_cross_entropy_for_noisy_labels.
Related Issues (11)
- Matrix p = ?, when training on cifar-100 using Forward and Backward HOT 3
- Asymmetric Noise- HOT 4
- tabular data/ noisy instances
- How do you create asymmetric label noise on CIFAR-100? HOT 3
- Is symmetric_cross_entropy suitable for binary classification issue? HOT 1
- How to regulate the alpha and the beta of SCEloss? HOT 4
- Multi-label scenario HOT 1
- About alpha and beta HOT 1
- Is the accuracy reported in tables 1, 2, and 3 from the best epoch or the last epoch? HOT 2
- Maybe there are something wrongs with your code.
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from symmetric_cross_entropy_for_noisy_labels.