UCDM builds positive and negative image pairs with a text-to-image diffusion model and trains an open-set classifier with no instance labels, outperforming semi-supervised baselines on three benchmarks.
How out-of- distribution data hurts semi-supervised learning
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Unsupervised Learning for Class Distribution Mismatch
UCDM builds positive and negative image pairs with a text-to-image diffusion model and trains an open-set classifier with no instance labels, outperforming semi-supervised baselines on three benchmarks.