Domain adaptation (DA) adapts a training dataset from a source domain fo...
Generative adversarial networks (GANs) are a class of machine-learning m...
Generalization is one of the most important problems in deep learning (D...
Despite remarkable successes achieved by modern neural networks in a wid...
Lack of performance when it comes to continual learning over non-station...