New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

KL divergenve #17

Closed

MADONOKOUKI opened this issue Nov 16, 2020 · 1 comment

MADONOKOUKI commented Nov 16, 2020

augmix/cifar.py

Line 233 in 9b9824c

p_mixture = torch.clamp((p_clean + p_aug1 + p_aug2) / 3., 1e-7, 1).log()

Hi.
KL divergence is indeed asymmetry distribution.
The code looks to minimize the mixture of distribution to p_original, p_aug1, p_aug2

Contributor

hendrycks commented Nov 16, 2020

The Jensen-Shannon Divergence is symmetric and can be written in terms of KL Divergences.

normster closed this as completed

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment