Learning Transferable Features with Deep Adaptation Networks
本篇是遷移學習專欄介紹的第七篇論文，清華大學助理教授Mingsheng Long (龍明盛)發表在國際機器學習頂級會議JMLR 2015上的深度適配網絡(Deep Adaptation Network, DAN)。前作DDC：Deep domain confusion: Maximizing for domain invariance DAN是在DDC的基礎上發展起來的，它很好地解決了DDC的兩個
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相關文章
- 1. Learning Transferable Features with Deep Adaptation Networks
- 2. 翻譯「Learning Transferable Features with Deep Adaptation Networks」
- 3. 對於DAN方法的解讀-Learning Transferable Features with Deep Adaptation Networks
- 4. How transferable are features in deep nerual networks? 【paper review】
- 5. How transferable are features in deep neural networks?
- 6. Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning
- 7. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
- 8. How transferable are features in deep neural networks? 論文筆記
- 9. 論文筆記：How transferable are features in deep neural networks?
- 10. Unsupervised Domain Adaptation with Residual Transfer Networks（2017）