[解读] COEGAN Evaluating the Coevolution Effect in Generative Adversarial Networks
链接: https://arxiv.org/abs/1912.06172v1, https://arxiv.org/abs/1912.06180v1 本文提出一种协同进化的生成式对抗网络(COEGAN), 将进化和协同训练应用到 GAN 中, 该方法将能够克服 GAN 训练中遇到的梯度消失和模型崩溃问题, 能够生成更有效的网络结构. 试验结果表明该方法训练稳定并且表现优秀. 相关的工作 Neuro
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相关文章
- 1. [解读] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
- 2. [解读] Coupled Generative Adversarial Networks
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- 5. Contrastive Generative Adversarial Networks
- 6. Self-Attention Generative Adversarial Networks 论文解读
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