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The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)
Home Page: https://arxiv.org/abs/2302.10326
License: Apache License 2.0
Python 95.08%
Shell 0.14%
C++ 0.53%
Cuda 4.25%
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I am trying to reproduce the paper's original results, but there are multiple configurations for the cifar10 dataset.
What are the differences between the default, vp, subvp, and ve configurations?
Hi @jinpz,
Thanks for the interesting work.
Do you have any of the pretrained weights available to reproduce some of the CIFAR10 results?
Thanks in advance!