UnNAS:Are Labels Necessary for Neural Architecture Search?論文解析
Are Labels Necessary for Neural Architecture Search? 何凱明和Ross Girshick再次聯手，在AutoML領域發力，文章在3月27日剛剛能夠搜索到。 這篇文章的主旨思想是：研究NAS的新方向，即利用無人工Label的數據集實現NAS的效果，並且通過實驗證明，非監督的方法與監督方法相相比較在多數情況下相關性較大(>0.8)，而在一些任務中，無
相關文章
- 1. UnNAS: Are Labels Necessary for Neural Architecture Search?
- 2. 論文解析：NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
- 3. Research Guide for Neural Architecture Search
- 4. NAS論文筆記——Progressive Neural Architecture Search
- 5. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 6. 論文筆記：Progressive Neural Architecture Search
- 7. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 8. Progressive Neural Architecture Search（論文閱讀）
- 9. Neural Architecture Search with Reinforcement Learning論文總結
- 10. Fast and Practical Neural Architecture Search論文總結
- 更多相關文章...
- • TCP報文格式解析 - TCP/IP教程
- • XML DOM 解析器 - XML DOM 教程
- • Scala 中文亂碼解決
- • 三篇文章瞭解 TiDB 技術內幕 —— 談調度
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. UnNAS: Are Labels Necessary for Neural Architecture Search?
- 2. 論文解析：NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
- 3. Research Guide for Neural Architecture Search
- 4. NAS論文筆記——Progressive Neural Architecture Search
- 5. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 6. 論文筆記：Progressive Neural Architecture Search
- 7. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 8. Progressive Neural Architecture Search（論文閱讀）
- 9. Neural Architecture Search with Reinforcement Learning論文總結
- 10. Fast and Practical Neural Architecture Search論文總結