Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
概要
arXiv:2605.06289v1 Announce Type: cross Abstract: When modeling class-imbalanced data, it is crucial to address the imbalance, as models trained on such data tend to be biased towards the majority classes. This problem is amplified under partial supervision, where pseudo-labels for unlabeled data a…