Yi Lin Sung

Difference-Seeking Generative Adversarial Network--Unseen Sample Generation

Unseen data, which are not samples from the distribution of training data and are difficult to collect, have exhibited importance in numerous applications, ({\em e.g.,} novelty detection, semi-supervised learning, and adversarial training). In this paper, we introduce a general framework called \t…