2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
NeurIPS 2021poster
We present a continual learning approach for generative adversarial networks (GANs), by designing and leveraging parameter-efficient feature map transformations. Our approach is based on learning a set of global and task-specific parameters. The global parameters are fixed across tasks whereas the t…