Jul 2026
Semi-Supervised Conditional Diffusion via Label Augmentation
This work introduces label-augmented conditional diffusion (LACD), a simple and effective approach that incorporates unlabeled examples by assigning them a designated trivial label and performing joint denoising score matching over the augmented dataset.
Jin Su, Yuan Gao, Yong Zhou et al.
· arXiv.org · 0 citations