Self-Attention Generative Adversarial Networks (mlr.press) Zhang H, Goodfellow I, Metaxas D, et al. Self-attention generative adversarial networks[C]//International conference on machine learning. PM
[1803.08887] Dist-GAN: An Improved GAN using Distance Constraints (arxiv.org) Tran N T, Bui T A, Cheung N M. Dist-gan: An improved gan using distance constraints[C]//Proceedings of the European confe
1802.05957.pdf (arxiv.org) Miyato T, Kataoka T, Koyama M, et al. Spectral normalization for generative adversarial networks[J]. arXiv preprint arXiv:1802.05957, 2018. 生成式对抗网络的频谱归一化,相比于WGAN-GP在激进的学习率和
[1704.00028] Improved Training of Wasserstein GANs (arxiv.org) Gulrajani I, Ahmed F, Arjovsky M, et al. Improved training of wasserstein gans[J]. Advances in neural information processing systems, 20
Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets[J]. Advances in neural information processing systems, 2014, 27. 引用:61648 原作者代码:GitHub - goodfeli/adversarial: Code and hype
Hui S, Wang H, Wang Z, et al. Knowledge Enhanced GAN for IoT Traffic Generation[C]//Proceedings of the ACM Web Conference 2022. 2022: 3336-3346. CCF A 清华 用于物联网流量生成的知识图谱增强型GAN NetworkTrafficGene
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