Partial Transfer Learning with Selective Adversarial Networks
本篇是迁移学习专栏介绍的第十一篇论文，清华大学助理教授Mingsheng Long (龙明盛)发表在国际机器学习顶级会议CVPR2018。git Abstract 对抗性学习已经成功地嵌入到深度网络中，以学习可迁移的特征，从而减小源域和目标域之间的分布差别。现有的域对抗网络假设跨域彻底共享标签空间。在大数据的存在下，将分类和表示模型从现有的大规模域迁移到未知的小规模域具备很强的动力。引入部分迁移学
相关文章
- 1. Partial Transfer Learning with Selective Adversarial Networks
- 2. 迁移学习“Partial Transfer Learning with Selective Adversarial Networks”
- 3. CVPR 2018之迁移学习解读（二）： Partial Transfer Learning with Selective Adversarial Networks
- 4. UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
- 5. DCGAN：Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- 6. [advGAN]Generating Adversarial Examples With Adversarial Networks
- 7. Generating Adversarial Examples with Adversarial Networks
- 8. partial transfer learning文章总结(三)
- 9. 【Transfer Learning】Adversarial Discriminative Domain Adaptation
- 10. transfer learning
- 更多相关文章...
- • ASP Transfer 方法 - ASP 教程
- • XSLT
- • Java Agent入门实战（一）-Instrumentation介绍与使用
- • Java Agent入门实战（三）-JVM Attach原理与使用
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Partial Transfer Learning with Selective Adversarial Networks
- 2. 迁移学习“Partial Transfer Learning with Selective Adversarial Networks”
- 3. CVPR 2018之迁移学习解读（二）： Partial Transfer Learning with Selective Adversarial Networks
- 4. UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
- 5. DCGAN：Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- 6. [advGAN]Generating Adversarial Examples With Adversarial Networks
- 7. Generating Adversarial Examples with Adversarial Networks
- 8. partial transfer learning文章总结(三)
- 9. 【Transfer Learning】Adversarial Discriminative Domain Adaptation
- 10. transfer learning