論文筆記之Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
這一篇是AAAI 2017的best paper。出自Stanford ，隨手查了一下，二作Stefano Ermon指導的AAAI 2017的另一篇paper，拿了Best Student Paper Award (CompSust Track)。在此膜拜一發。 一.題目理解 不得不說，一篇好的paper，題目很重要，是否吸引人。比如這一篇，猛地一看感覺很有內容，想法很新穎。 label-fre
相關文章
- 1. 論文筆記《DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for 》
- 2. Event Detection and Domain Adaptation with Convolutional Neural Networks
- 3. 論文筆記：Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
- 4. 【論文筆記】Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning
- 5. 論文筆記之：Progressive Neural Network Google DeepMind
- 6. Domain-Adversarial Training of Neural Networks
- 7. 論文閱讀《Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks》
- 8. Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks論文初讀
- 9. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
- 10. 論文筆記：Exploring Neural Networks with Activation Atlases
- 更多相關文章...
- • XSLT
- • CAP理論是什麼？ - NoSQL教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • RxJava操作符（七）Conditional and Boolean
相關標籤/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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 論文筆記《DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for 》
- 2. Event Detection and Domain Adaptation with Convolutional Neural Networks
- 3. 論文筆記：Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
- 4. 【論文筆記】Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning
- 5. 論文筆記之：Progressive Neural Network Google DeepMind
- 6. Domain-Adversarial Training of Neural Networks
- 7. 論文閱讀《Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks》
- 8. Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks論文初讀
- 9. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
- 10. 論文筆記：Exploring Neural Networks with Activation Atlases