论文阅读分享（一）AutoGAN-Distiller:Searching to Compress Generative Adversarial Networks
一. The address of paper AutoGAN-Distiller:Searching to Compress Generative Adversarial Networks 这篇论文是ICML2020的一篇文章，其研究方向是GAN网络的模型压缩 论文地址: https://arxiv.org/abs/2006.08198 二. The introduction of paper
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相关文章
- 1. AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks, ICML2020
- 2. 论文阅读——《Generative Adversarial Nets》
- 3. Image-to-Image Translation with Conditional Adversarial Networks论文阅读分享(pix2pix)
- 4. Self-Attention Generative Adversarial Networks 论文解读
- 5. 论文阅读——《Conditional Generative Adversarial Nets》
- 6. Generative Adversarial Text to Image Synthesis 论文解读
- 7. Generative Adversarial Nets 论文阅读笔记
- 8. 【论文阅读】CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 9. 论文阅读——Deformable Medical Image Registration Using Generative Adversarial Networks
- 10. 论文阅读——Synthetic Medical Images from Dual Generative Adversarial Networks