G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data

Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou +1

Performing supervised learning from the data synthesized by using Generative Adversarial Networks (GANs), dubbed GAN-synthetic data, has two important applications. First, GANs may…