VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification
arXiv:2604.25334v1 Announce Type: new
Abstract: Imbalanced classification remains a pervasive challenge in machine learning, particularly when minority samples are too scarce to provide a robust discriminative boundary. In such extreme scenarios, conv…