Abstract: Multilabel learning involving hundreds of thousands or even millions of labels is referred to as extreme multilabel learning (XML), in which the labels often follow a power-law distribution ...

Abstract: A novel approach for text-to-image synthesis employs Deep Fusion Generative Adversarial Networks (DFGAN) integrated with the Wasserstein Gradient Penalty (WGAN-GP) to promote training ...