arXiv stat.ML
· Papers
Semi-Supervised Conditional Diffusion via Label Augmentation
arXiv:2607.16685v1 Announce Type: new Abstract: Conditional diffusion models have become a powerful and flexible framework for learning complex conditional distributions from labeled data. In practice, however, acquiring high-quality labels is costly and time-consuming, leaving large volumes of unlabeled data unused. T