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

Improve underfitting behavior for VI CIFAR-10 baseline #54

Open

dustinvtran opened this issue Aug 16, 2020 · 0 comments

Member

dustinvtran commented Aug 16, 2020

@dustinvtran
The results are competitive but it's still underfitting. I haven't tried standard techniques yet such as KL annealing, initialization from a pre-trained deterministic network (see sparse VD paper), etc.

google/edward2#74

dustinvtran mentioned this issue

Improve underfitting behavior for VI CIFAR-10 baseline google/edward2#74

Closed

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