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Hi,
thanks for publishing your code! @yorkerlin is there any chance that you could also publish the PyTorch code that you've used for CIFAR10? Based only the paper, it seems that I get significantly different results than yours, but I'm pretty sure that the reason is my implementation and/or my hyperparamter choice.
Thank you,
Florian
The text was updated successfully, but these errors were encountered:
Hi Florian,
I do not check Github emails. Please send me an email if you have any more questions.
This repo is outdated. For a practical implementation of iVON, you should contact Thomas Möllenhoff. His team uses iVON to won the Bayesian deep learning challenge mentioned at this paper https://proceedings.mlr.press/v176/wilson22a.html. You may want to check out the new repo (https://github.com/yorkerlin/StructuredNGD-DL). We provide a PyTorch implementation of structured NGD to train large-scale (non-Bayesian) NN models on cifar, tinyimagenet, and imagenet.
Hi,
thanks for publishing your code! @yorkerlin is there any chance that you could also publish the PyTorch code that you've used for CIFAR10? Based only the paper, it seems that I get significantly different results than yours, but I'm pretty sure that the reason is my implementation and/or my hyperparamter choice.
Thank you,
Florian
The text was updated successfully, but these errors were encountered: