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jeremy-aitrics avatar jeremy-aitrics commented on August 16, 2024

Thank you for your interesting work!

I have a same question with weliaicunzai.
I can't find the KL divergence loss in your code. Where did you implement the KL divergence loss?

Thanks.

from wsi-finetuning.

invoker-LL avatar invoker-LL commented on August 16, 2024

MSE and KL divergence are both metrics/loss for distribution alignment as used in Knowledge Distillation. Since Bernoulli distribution is easy with given constant probability like p=0.2, it can be seen as a soft-target for a binary classification, thus we can also use CrossEntropy to replace the KL given pre-defined distribution. I will provide this code soon.

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