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Title: GitHub - TinkerLee/transferlearning: Everything about Transfer Learning and Domain Adaptation--迁移学习

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Description: Everything about Transfer Learning and Domain Adaptation--迁移学习 - TinkerLee/transferlearning

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MIT license	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#迁移学习-transfer-learning
	https://awesome.re
	https://opensource.org/licenses/MIT
	https://github.com/996icu/996.ICU/blob/master/LICENSE
	https://996.icu
迁移学习 Transfer Learning	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0-transfer-learning
0.Latest Publications (最新论文)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#0latest-publications-%E6%9C%80%E6%96%B0%E8%AE%BA%E6%96%87
1.Introduction and Tutorials (简介与教程)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#1introduction-and-tutorials-%E7%AE%80%E4%BB%8B%E4%B8%8E%E6%95%99%E7%A8%8B
2.Transfer Learning Areas and Papers (研究领域与相关论文)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#2transfer-learning-areas-and-papers-%E7%A0%94%E7%A9%B6%E9%A2%86%E5%9F%9F%E4%B8%8E%E7%9B%B8%E5%85%B3%E8%AE%BA%E6%96%87
3.Theory and Survey (理论与综述)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#3theory-and-survey-%E7%90%86%E8%AE%BA%E4%B8%8E%E7%BB%BC%E8%BF%B0
4.Code (代码)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#4code-%E4%BB%A3%E7%A0%81
5.Transfer Learning Scholars (著名学者)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#5transfer-learning-scholars-%E8%91%97%E5%90%8D%E5%AD%A6%E8%80%85
6.Transfer Learning Thesis (硕博士论文)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#6transfer-learning-thesis-%E7%A1%95%E5%8D%9A%E5%A3%AB%E8%AE%BA%E6%96%87
7.Datasets and Benchmarks (数据集与评测结果)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#7datasets-and-benchmarks-%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%8E%E8%AF%84%E6%B5%8B%E7%BB%93%E6%9E%9C
8.Transfer Learning Challenges (迁移学习比赛)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#8transfer-learning-challenges-%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E6%AF%94%E8%B5%9B
Applications (迁移学习应用)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#applications-%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E5%BA%94%E7%94%A8
Other Resources (其他资源)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#other-resources-%E5%85%B6%E4%BB%96%E8%B5%84%E6%BA%90
Contributing (欢迎参与贡献)	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#contributing-%E6%AC%A2%E8%BF%8E%E5%8F%82%E4%B8%8E%E8%B4%A1%E7%8C%AE
Copyright notice	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#copyright-notice
行为识别	https://github.com/jindongwang/activityrecognition
机器学习	https://github.com/jindongwang/MachineLearning
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#0latest-publications-最新论文
Transfer learning	http://arxitics.com/search?q=transfer%20learning&sort=updated#1904.01376/abstract
Domain adaptation	http://arxitics.com/search?q=domain%20adaptation&sort=updated
Transfer learning	http://arxitics.com/search?q=transfer%20learning&sort=updated#1904.01376/abstract
Domain adaptation	http://arxitics.com/search?q=domain%20adaptation&sort=updated
迁移学习文章汇总 Awesome transfer learning papers	https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
Automatic Cross-Domain Transfer Learning for Linear Regression	https://arxiv.org/abs/2005.04088
Importance Filtered Cross-Domain Adaptation	https://arxiv.org/abs/1912.12209
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics	https://arxiv.org/abs/2005.04114
Source-Relaxed Domain Adaptation for Image Segmentation	https://arxiv.org/abs/2005.03697
更多 More...	https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#1introduction-and-tutorials-简介与教程
《迁移学习简明手册》Transfer Learning Tutorial	https://zhuanlan.zhihu.com/p/35352154
Read online	https://tutorial.transferlearning.xyz/
PDF	http://jd92.wang/assets/files/transfer_learning_tutorial_wjd.pdf
Zhihu blogs - 知乎专栏《小王爱迁移》系列文章	https://zhuanlan.zhihu.com/p/130244395
Domain adaptation - 迁移学习中的领域自适应方法(中文)	https://www.bilibili.com/video/BV1T7411R75a/
Transfer learning by Hung-yi Lee @ NTU - 台湾大学李宏毅的视频讲解(中文视频)	https://www.youtube.com/watch?v=qD6iD4TFsdQ
Chelsea finn's Stanford CS330 class on multi-task and meta-learning - 2020斯坦福大学多任务与元学习教程CS330	https://www.bilibili.com/video/av91772677?p=12
Chinese introduction	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 (English)	http://jd92.wang/assets/files/l03_transferlearning.pdf
PPT (中文)	http://jd92.wang/assets/files/l08_tl_zh.pdf
PDF	http://jd92.wang/assets/files/l12_da.pdf
Video	http://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247484940&idx=2&sn=35e64e07fde9a96afbb65dbf40a945eb&chksm=ec1febf5db6862e38d5e02ff3278c61b376932a46c5628c7d9cb1769c572bfd31819c13dd468&mpshare=1&scene=1&srcid=1219JpTNZFiNDCHsTUrUxwqy#rd
PPT(Samsung)	http://ise.thss.tsinghua.edu.cn/~mlong/doc/transfer-learning-talk.pdf
PPT(Google China)	http://ise.thss.tsinghua.edu.cn/~mlong/doc/deep-transfer-learning-talk.pdf
Pytorch官方迁移学习示意代码	https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html
Pytorch的finetune Fine-tune based on Alexnet and Resnet	https://github.com/jindongwang/transferlearning/tree/master/code/AlexNet_ResNet
用Pytorch进行深度特征提取	https://github.com/jindongwang/transferlearning/tree/master/code/feature_extractor
基于Tensorflow的几个深度adaptation实现	https://github.com/asahi417/DeepDomainAdaptation
更多 More...	https://github.com/jindongwang/transferlearning/tree/master/code
Transfer Learning Scholars and Labs - 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
Negative transfer - 负迁移	https://www.zhihu.com/question/66492194/answer/242870418
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#2transfer-learning-areas-and-papers-研究领域与相关论文
General Transfer Learning (普通迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#general-transfer-learning-%E6%99%AE%E9%80%9A%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Theory (理论)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#theory-%E7%90%86%E8%AE%BA
Others (其他)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#others-%E5%85%B6%E4%BB%96
Domain Adaptation (领域自适应)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#domain-adaptation-%E9%A2%86%E5%9F%9F%E8%87%AA%E9%80%82%E5%BA%94
Traditional Methods (传统迁移方法)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#traditional-methods-%E4%BC%A0%E7%BB%9F%E8%BF%81%E7%A7%BB%E6%96%B9%E6%B3%95
Deep / Adversarial Methods (深度/对抗迁移方法)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#deep--adversarial-methods-%E6%B7%B1%E5%BA%A6%E5%AF%B9%E6%8A%97%E8%BF%81%E7%A7%BB%E6%96%B9%E6%B3%95
Domain Generalization	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#domain-generalization
Multi-source Transfer Learning (多源迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#multi-source-transfer-learning-%E5%A4%9A%E6%BA%90%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Heterogeneous Transfer Learning (异构迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#heterogeneous-transfer-learning-%E5%BC%82%E6%9E%84%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Online Transfer Learning (在线迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#online-transfer-learning-%E5%9C%A8%E7%BA%BF%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Zero-shot / Few-shot Learning	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#zero-shot--few-shot-learning
Deep Transfer Learning (深度迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#deep-transfer-learning-%E6%B7%B1%E5%BA%A6%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Non-Adversarial Transfer Learning (非对抗深度迁移)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#non-adversarial-transfer-learning-%E9%9D%9E%E5%AF%B9%E6%8A%97%E6%B7%B1%E5%BA%A6%E8%BF%81%E7%A7%BB
Deep Adversarial Transfer Learning (对抗迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#deep-adversarial-transfer-learning-%E5%AF%B9%E6%8A%97%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Multi-task Learning (多任务学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#multi-task-learning-%E5%A4%9A%E4%BB%BB%E5%8A%A1%E5%AD%A6%E4%B9%A0
Transfer Reinforcement Learning (强化迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#transfer-reinforcement-learning-%E5%BC%BA%E5%8C%96%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Transfer Metric Learning (迁移度量学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#transfer-metric-learning-%E8%BF%81%E7%A7%BB%E5%BA%A6%E9%87%8F%E5%AD%A6%E4%B9%A0
Transitive Transfer Learning (传递迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#transitive-transfer-learning-%E4%BC%A0%E9%80%92%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Lifelong Learning (终身迁移学习)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#lifelong-learning-%E7%BB%88%E8%BA%AB%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
Negative Transfer (负迁移)	https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#negative-transfer-%E8%B4%9F%E8%BF%81%E7%A7%BB
Transfer Learning Applications (应用)	https://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md
Paperweekly	http://www.paperweekly.site/collections/231/papers
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#3theory-and-survey-理论与综述
A survey on transfer learning	http://ieeexplore.ieee.org/abstract/document/5288526/
A Survey of Sentiment Analysis Based on Transfer Learning	https://ieeexplore.ieee.org/abstract/document/8746210
Transfer Adaptation Learning: A Decade Survey	https://arxiv.org/abs/1903.04687
Transfer Metric Learning: Algorithms, Applications and Outlooks	https://arxiv.org/abs/1810.03944
Asymmetric Heterogeneous Transfer Learning: A Survey	https://arxiv.org/abs/1804.10834
Neural Style Transfer: A Review	https://arxiv.org/abs/1705.04058
Deep Visual Domain Adaptation: A Survey	https://www.sciencedirect.com/science/article/pii/S0925231218306684
A survey on multi-task learning	https://arxiv.org/abs/1707.08114
A survey on heterogeneous transfer learning	https://link.springer.com/article/10.1186/s40537-017-0089-0
Cross-dataset recognition: a survey	https://arxiv.org/abs/1705.04396
A survey of transfer learning	https://pan.baidu.com/s/1gfgXLXT
迁移学习研究进展	https://pan.baidu.com/s/1bpautob
Visual Domain Adaptation: A Survey of Recent Advances	https://pan.baidu.com/s/1o8BR7Vc
Transfer Learning for Activity Recognition: A Survey	https://pan.baidu.com/s/1kVABOYr
Transfer Learning for Reinforcement Learning Domains: A Survey	https://pan.baidu.com/s/1slfr0w1
A Survey of Multi-source Domain Adaptation	https://pan.baidu.com/s/1eSGREF4
Analysis of Representations for Domain Adaptation	https://dl.acm.org/citation.cfm?id=2976474
A Theory of Learning from Different Domains	https://link.springer.com/article/10.1007/s10994-009-5152-4
Learning Bounds for Domain Adaptation	http://papers.nips.cc/paper/3212-learning-bounds-for-domain-adaptation
Domain adaptation: Learning bounds and algorithms	https://arxiv.org/abs/0902.3430
Bridging Theory and Algorithm for Domain Adaptation	http://proceedings.mlr.press/v97/zhang19i.html
A Hilbert Space Embedding for Distributions	https://link.springer.com/chapter/10.1007/978-3-540-75225-7_5
A Kernel Two-Sample Test	http://www.jmlr.org/papers/v13/gretton12a.html
Optimal kernel choice for large-scale two-sample tests	http://papers.nips.cc/paper/4727-optimal-kernel-choice-for-large-scale-two-sample-tests
Matlab	https://github.com/lopezpaz/classifier_tests/tree/master/code/unit_test_mmd
Python	https://github.com/jindongwang/transferlearning/tree/master/code/basic/mmd.py
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#4code-代码
这里	https://github.com/jindongwang/transferlearning/tree/master/code
HERE	https://github.com/jindongwang/transferlearning/tree/master/code
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#5transfer-learning-scholars-著名学者
这里	https://github.com/jindongwang/transferlearning/blob/master/doc/scholar_TL.md
here	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/
Google scholar	https://scholar.google.com/citations?user=P6WcnfkAAAAJ&hl=zh-CN
Wenyuan Dai	https://scholar.google.com.sg/citations?user=AGR9pP0AAAAJ&hl=zh-CN
Google scholar	https://scholar.google.com.hk/citations?hl=zh-CN&user=AGR9pP0AAAAJ
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
Lixin Duan	http://www.lxduan.info/
Google scholar	https://scholar.google.com.hk/citations?user=inRIcS0AAAAJ&hl=zh-CN&oi=ao
Boqing Gong	http://boqinggong.info/index.html
Google scholar	https://scholar.google.com/citations?user=lv9ZeVUAAAAJ&hl=en
Tatiana Tommasi	http://tatianatommasi.wixsite.com/tatianatommasi/3
Vinod K Kurmi	https://github.com/vinodkkurmi
home page	https://github.com/vinodkkurmi
Weike Pan	https://sites.google.com/site/weikep/
Google Scholar	https://scholar.google.com/citations?user=pC5Q26MAAAAJ&hl=en
Fuzhen Zhuang	http://www.intsci.ac.cn/users/zhuangfuzhen/
Google scholar	https://scholar.google.com/citations?user=klJBYrAAAAAJ&hl=zh-CN&oi=ao
Qingyao Wu	https://sites.google.com/site/qysite/
Google scholar	https://scholar.google.com.hk/citations?user=n6e_2IgAAAAJ&hl=zh-CN&oi=ao
Tongliang Liu	http://ieeexplore.ieee.org/abstract/document/8259375/
Google scholar	https://scholar.google.com.hk/citations?hl=zh-CN&user=EiLdZ_YAAAAJ
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#6transfer-learning-thesis-硕博士论文
Correlation Alignment for Domain Adaptation	http://www.cs.uml.edu/~bsun/papers/baochen_phd_thesis.pdf
Kernel Methods for Unsupervised Domain Adaptation	https://pan.baidu.com/s/1bpbawv9
迁移学习问题与方法研究	http://ise.thss.tsinghua.edu.cn/~mlong/doc/phd-thesis-mingsheng-long.pdf
自适应行为识别中的迁移学习方法研究	https://pan.baidu.com/s/1kVqYXnh
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
Feature-based Transfer Learning and Its Applications	https://pan.baidu.com/s/1bUqMfW
基于实例和特征的迁移学习算法研究	https://pan.baidu.com/s/1i4Vyygd
完整版	https://pan.baidu.com/s/1bqXEASn
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#7datasets-and-benchmarks-数据集与评测结果
HERE	https://github.com/jindongwang/transferlearning/blob/master/data
这里	https://github.com/jindongwang/transferlearning/blob/master/data
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#8transfer-learning-challenges-迁移学习比赛
Visual Domain Adaptation Challenge (VisDA)	http://ai.bu.edu/visda-2018/
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#applications-迁移学习应用
HERE	https://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md
这里	https://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#other-resources-其他资源
Deep Learning for Knowledge Transfer @ ICDM 2020	http://icdm2020.bigke.org/
A semi-supervised domain adaptation library	https://domainadaptation.org
A PyTorch toolbox for domain adaptation and semi-supervised learning	https://github.com/KaiyangZhou/Dassl.pytorch
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#contributing-欢迎参与贡献
HERE	https://github.com/jindongwang/transferlearning/blob/master/CONTRIBUTING.md
	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#copyright-notice
transferlearning.xyz/	http://transferlearning.xyz/
Readme	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#readme-ov-file
MIT license	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#MIT-1-ov-file
Contributing	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning#contributing-ov-file
Please reload this page	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning
Activity	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning/activity
1 star	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning/stargazers
0 watching	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning/watchers
0 forks	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning/forks
Report repository	https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FTinkerLee%2Ftransferlearning&report=TinkerLee+%28user%29
Releases	https://patch-diff.githubusercontent.com/TinkerLee/transferlearning/releases
Packages 0	https://patch-diff.githubusercontent.com/users/TinkerLee/packages?repo_name=transferlearning
	https://github.com
Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

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