most citedIE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.NE2021★ 3 cited

IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator

Junjie Li, Jingyao Li, Wenbo Zhou +1

The training of generative adversarial networks (GANs) is usually vulnerable to mode collapse and vanishing gradients. The evolutionary generative adversarial network (E-GAN) attem…