Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries

Abstract

ss-rVAE classification can generalize from a small labeled data subset with weak orientational disorder to a larger unlabeled dataset with stronger disorder. We apply it to nanoparticle datasets to train a robust classifier and understand physical factors of data variation.