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Title: GitHub - BinLeeBit/transferlearning: Resources and codes about transfer learning and domain adaptation--迁移学习 · GitHub

Open Graph Title: GitHub - BinLeeBit/transferlearning: Resources and codes about transfer learning and domain adaptation--迁移学习

X Title: GitHub - BinLeeBit/transferlearning: Resources and codes about transfer learning and domain adaptation--迁移学习

Description: Resources and codes about transfer learning and domain adaptation--迁移学习 - BinLeeBit/transferlearning

Open Graph Description: Resources and codes about transfer learning and domain adaptation--迁移学习 - BinLeeBit/transferlearning

X Description: Resources and codes about transfer learning and domain adaptation--迁移学习 - BinLeeBit/transferlearning

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	https://github.com/BinLeeBit/transferlearning#迁移学习-transfer-learning
行为识别	https://github.com/jindongwang/activityrecognition
机器学习	https://github.com/jindongwang/MachineLearning
	https://github.com/BinLeeBit/transferlearning#目录-table-of-contents
最新 Latest	https://github.com/BinLeeBit/transferlearning#0latest
迁移学习简介 Introduction to transfer learning	https://github.com/BinLeeBit/transferlearning#1%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%AE%80%E4%BB%8B
迁移学习的综述文章 Survey papers	https://github.com/BinLeeBit/transferlearning#2%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%9A%84%E7%BB%BC%E8%BF%B0%E6%96%87%E7%AB%A0
迁移学习文章 Awesome transfer learning papers	https://github.com/BinLeeBit/transferlearning#%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E6%96%87%E7%AB%A0
迁移学习相关代码 Available codes	https://github.com/jindongwang/transferlearning/tree/master/code
迁移学习代表性研究学者 Scholars	https://github.com/BinLeeBit/transferlearning#4%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E4%BB%A3%E8%A1%A8%E6%80%A7%E7%A0%94%E7%A9%B6%E5%AD%A6%E8%80%85
迁移学习相关的硕博士论文 Thesis	https://github.com/BinLeeBit/transferlearning#5%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%9B%B8%E5%85%B3%E7%9A%84%E7%A1%95%E5%8D%9A%E5%A3%AB%E8%AE%BA%E6%96%87
代表性文章阅读 Paper reading	https://github.com/BinLeeBit/transferlearning#6%E4%BB%A3%E8%A1%A8%E6%80%A7%E6%96%87%E7%AB%A0%E9%98%85%E8%AF%BB
迁移学习用于行为识别 Transfer learning for activity recognition	https://github.com/jindongwang/activityrecognition/blob/master/notes/%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%94%A8%E4%BA%8E%E8%A1%8C%E4%B8%BA%E8%AF%86%E5%88%AB.md
常用数据集 Datasets	https://github.com/jindongwang/transferlearning/blob/master/doc/dataset.md
Contributing	https://github.com/BinLeeBit/transferlearning#contributing
	https://github.com/BinLeeBit/transferlearning#0latest
迁移学习文章 Awesome transfer learning papers	https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
When Unsupervised Domain Adaptation Meets Tensor Representations	http://openaccess.thecvf.com/content_iccv_2017/html/Lu_When_Unsupervised_Domain_ICCV_2017_paper.html
我的解读	https://zhuanlan.zhihu.com/p/31834244
Learning to Generalize: Meta-Learning for Domain Generalization	https://arxiv.org/pdf/1710.03463.pdf
GENERALIZING ACROSS DOMAINS VIA CROSS-GRADIENT TRAINING	https://openreview.net/pdf?id=r1Dx7fbCW
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks	http://papers.nips.cc/paper/6621-label-efficient-learning-of-transferable-representations-acrosss-domains-and-tasks
Open set domain adaptation	http://openaccess.thecvf.com/content_iccv_2017/html/Busto_Open_Set_Domain_ICCV_2017_paper.html
我的解读	https://zhuanlan.zhihu.com/p/31230331
基于深度学习和迁移学习的识花实践	https://cosx.org/2017/10/transfer-learning/
Domain Adaptation in Computer Vision Applications	https://books.google.com.hk/books?id=7181DwAAQBAJ&pg=PA95&lpg=PA95&dq=Learning+Domain+Invariant+Embeddings+by+Matching%E2%80%A6&source=bl&ots=fSc1yvZxU3&sig=XxmGZkrfbJ2zSsJcsHhdfRpjaqk&hl=zh-CN&sa=X&ved=0ahUKEwjzvODqkI3XAhUCE5QKHYStBywQ6AEIRDAE#v=onepage&q=Learning%20Domain%20Invariant%20Embeddings%20by%20Matching%E2%80%A6&f=false
Learning Transferable Architectures for Scalable Image Recognition	https://arxiv.org/abs/1707.07012
Learning To Transfer	https://arxiv.org/abs/1708.05629
我的解读	https://zhuanlan.zhihu.com/p/28888554
	https://github.com/BinLeeBit/transferlearning#1迁移学习简介
文档	https://github.com/jindongwang/transferlearning/blob/master/doc/%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%AE%80%E4%BB%8B.md
PPT(英文)	http://jd92.wang/assets/files/l03_transferlearning.pdf
PPT(中文)	http://jd92.wang/assets/files/l08_tl_zh.pdf
https://www.youtube.com/watch?v=qD6iD4TFsdQ	https://www.youtube.com/watch?v=qD6iD4TFsdQ
迁移学习领域的著名学者、代表工作及实验室介绍	https://github.com/jindongwang/transferlearning/blob/master/doc/scholar_TL.md
负迁移(negative transfer)	https://www.zhihu.com/question/66492194/answer/242870418
	https://github.com/BinLeeBit/transferlearning#2迁移学习的综述文章
一些迁移学习的综述文章	https://pan.baidu.com/s/1c19TTfU
A survey on transfer learning	https://pan.baidu.com/s/1i5AFO7z
Cross-dataset recognition: a survey	https://arxiv.org/abs/1705.04396
A survey on multi-task learning	https://arxiv.org/abs/1707.08114
A survey of transfer learning	https://pan.baidu.com/s/1gfgXLXT
迁移学习应用于行为识别	https://pan.baidu.com/s/1kVABOYr
迁移学习与增强学习	https://pan.baidu.com/s/1slfr0w1
多个源域进行迁移的综述	https://pan.baidu.com/s/1eSGREF4
视觉domain adaptation综述	https://pan.baidu.com/s/1o8BR7Vc
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迁移学习文章	https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
	https://github.com/BinLeeBit/transferlearning#迁移学习文章
	https://github.com/BinLeeBit/transferlearning#3代码
这里	https://github.com/jindongwang/transferlearning/tree/master/code
	https://github.com/BinLeeBit/transferlearning#4迁移学习代表性研究学者
这里	https://github.com/jindongwang/transferlearning/blob/master/doc/scholar_TL.md
Qiang Yang	http://www.cs.ust.hk/~qyang/
Google scholar	https://scholar.google.com/citations?user=1LxWZLQAAAAJ&hl=zh-CN
Sinno Jialin Pan	http://www.ntu.edu.sg/home/sinnopan/
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Wenyuan Dai	https://scholar.google.com.sg/citations?user=AGR9pP0AAAAJ&hl=zh-CN
Lixin Duan	http://www.lxduan.info/
Fuzhen Zhuang	http://www.intsci.ac.cn/users/zhuangfuzhen/
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Mingsheng Long	http://ise.thss.tsinghua.edu.cn/~mlong/
Google scholar	https://scholar.google.com/citations?view_op=search_authors&mauthors=mingsheng+long&hl=zh-CN&oi=ao
	https://github.com/BinLeeBit/transferlearning#5迁移学习相关的硕博士论文
Feature-based Transfer Learning and Its Applications	https://pan.baidu.com/s/1bUqMfW
Kernel Methods for Unsupervised Domain Adaptation	https://pan.baidu.com/s/1bpbawv9
Learning based Activity Recognition	https://pan.baidu.com/s/1bp2K9HX
Learning with Limited Data in Sensor-based Human Behavior Prediction	https://pan.baidu.com/s/1o8MbbBk
迁移学习问题与方法研究	https://pan.baidu.com/s/1pLiJzIV
基于实例和特征的迁移学习算法研究	https://pan.baidu.com/s/1i4Vyygd
自适应行为识别中的迁移学习方法研究	https://pan.baidu.com/s/1kVqYXnh
Correlation Alignment for Domain Adaptation	http://www.cs.uml.edu/~bsun/papers/baochen_phd_thesis.pdf
完整版	https://pan.baidu.com/s/1mizKzna
	https://github.com/BinLeeBit/transferlearning#6代表性文章阅读
Domain adaptation	https://github.com/jindongwang/transferlearning/blob/master/doc/domain_adaptation.md
paperweekly	http://www.paperweekly.site/collections/231/papers
	https://github.com/BinLeeBit/transferlearning#代表性的方法及文章
Domain adaptation via tranfer component analysis	https://mega.nz/#!JTwElLrL!j5-TanhHCMESsGBNvY6I_hX6uspsrTxyopw8bPQ2azU
我的解读	https://zhuanlan.zhihu.com/p/26764147?group_id=844611188275965952
Transfer Feature Learning with Joint Distribution Adaptation	http://ise.thss.tsinghua.edu.cn/~mlong/doc/joint-distribution-adaptation-iccv13.pdf
我的解读	https://zhuanlan.zhihu.com/p/27336930
Geodesic flow kernel for unsupervised domain adaptation	https://mega.nz/#!tDY1lCSD!flMSgl-0uIswpSFL3sdZgKi6fOyFVLtcO8P6SE0OUPU
我的解读	https://zhuanlan.zhihu.com/p/27782708
Domain invariant transfer kernel learning	https://mega.nz/#!tOoCCRhB!YyoorOUcp6XIPPd6A0s7qglYnaSiRJFEQBphtZ2c58Q
我的解读	https://zhuanlan.zhihu.com/p/27657910
深度联合适配网络	http://proceedings.mlr.press/v70/long17a.html
学习迁移	https://arxiv.org/abs/1708.05629
我的解读	https://zhuanlan.zhihu.com/p/28888554
Simultaneous Deep Transfer Across Domains and Tasks	https://www.cv-foundation.org/openaccess/content_iccv_2015/html/Tzeng_Simultaneous_Deep_Transfer_ICCV_2015_paper.html
我的解读	https://zhuanlan.zhihu.com/p/30621691
迁移学习用于行为识别的文章总结	https://github.com/jindongwang/activityrecognition/blob/master/notes/%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%94%A8%E4%BA%8E%E8%A1%8C%E4%B8%BA%E8%AF%86%E5%88%AB.md
	https://github.com/BinLeeBit/transferlearning#迁移学习用于行为识别的文章总结
记与迁移学习大牛杨强教授的第二次会面	https://zhuanlan.zhihu.com/p/26260083
	https://github.com/BinLeeBit/transferlearning#记与迁移学习大牛杨强教授的第二次会面
	https://github.com/BinLeeBit/transferlearning#contributing
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jindongwang.github.io/transferlearning/	https://jindongwang.github.io/transferlearning/
Readme	https://github.com/BinLeeBit/transferlearning#readme-ov-file
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