JavaShuo
欄目
標籤
《Unsupervised Domain Adaptation with Random Walks on Target Labelings》閱讀理解
時間 2021-01-12
標籤
隨機遊走
欄目
HTML
简体版
原文
原文鏈接
《Unsupervised Domain Adaptation with Random Walks on Target Labelings》這篇文章用隨機漫步的方法來改進無監督域適應算法。 本文的摘要中寫道:「We cast domain adaptation as the problem of finding stable labels for target examples」,文章將域適應的過
>>阅读原文<<
相關文章
1.
【論文閱讀】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
2.
【論文閱讀】Universal Domain Adaptation
3.
Unsupervised Domain Adaptation with Residual Transfer Networks(2017)
4.
[cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
5.
Unsupervised domain adaptation with residual transfer networks(NIPS 2016)
6.
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
7.
Unsupervised Domain Adaptation by Backpropagation(2015)
8.
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
9.
[論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
10.
Re-weighted adversarial adaptation network for unsupervised domain adaptation
更多相關文章...
•
RSS 閱讀器
-
RSS 教程
•
PHP 實例 - AJAX RSS 閱讀器
-
PHP教程
•
JDK13 GA發佈:5大特性解讀
•
Docker 清理命令
相關標籤/搜索
閱讀理解
adaptation
unsupervised
walks
domain
target
random
閱讀
解讀
HTML
MySQL教程
NoSQL教程
Thymeleaf 教程
0
分享到微博
分享到微信
分享到QQ
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。
最新文章
1.
字節跳動21屆秋招運營兩輪面試經驗分享
2.
Java 3 年,25K 多嗎?
3.
mysql安裝部署
4.
web前端開發中父鏈和子鏈方式實現通信
5.
3.1.6 spark體系之分佈式計算-scala編程-scala中trait特性
6.
dataframe2
7.
ThinkFree在線
8.
在線畫圖
9.
devtools熱部署
10.
編譯和鏈接
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
【論文閱讀】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
2.
【論文閱讀】Universal Domain Adaptation
3.
Unsupervised Domain Adaptation with Residual Transfer Networks(2017)
4.
[cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
5.
Unsupervised domain adaptation with residual transfer networks(NIPS 2016)
6.
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
7.
Unsupervised Domain Adaptation by Backpropagation(2015)
8.
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
9.
[論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
10.
Re-weighted adversarial adaptation network for unsupervised domain adaptation
>>更多相關文章<<