Hi folks,
I hope you are doing well. I wanted to let you know about my new example on keras.io:
It shows how to perform consistency regularization to improve the performance of vision models under distribution shifts. It also provides a template for conducting semi-supervised / weakly supervised learning.
With this minimal example, I got promising improvements on CIFAR-10-C:
My full-scale experiments are here. As always, happy to address feedback.