RareGAN: Generating Samples for Rare Classes

Zinan Lin, Hao Liang, Giulia Fanti +1

We study the problem of learning generative adversarial networks (GANs) for a rare class of an unlabeled dataset subject to a labeling budget. This problem is motivated from practi…