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

no code implementations • 29 May 2019 • Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang

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

General Classification