René's URL Explorer Experiment


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

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

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

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

Open Graph Description: Everything about Transfer Learning and Domain Adaptation--迁移学习 - SORCEMEN/transferlearning

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

Opengraph URL: https://github.com/SORCEMEN/transferlearning

X: @github

direct link

Domain: github.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:486177f8-446e-f470-f41c-6b02fa53030d
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idC836:29EF90:13D1759:1A95B01:6A5D1B82
html-safe-nonce310efc4aa52186a20a1a7299fa7e3201d901b3693d71bcd8292a30a844273ef3
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJDODM2OjI5RUY5MDoxM0QxNzU5OjFBOTVCMDE6NkE1RDFCODIiLCJ2aXNpdG9yX2lkIjoiNzQ0MTgxODkyNTY1MzYyOTgyNyIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmace52fbde06f5b331b599bf94e1eb11843e53b2489274be7f8f19d8b684ff871a9
hovercard-subject-tagrepository:154495370
github-keyboard-shortcutsrepository,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location//
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/SORCEMEN/transferlearning
twitter:imagehttps://opengraph.githubassets.com/2a7f19f36276eb57692bfd7ad068db731f3b8aa552351f4ba2297e886ee40496/SORCEMEN/transferlearning
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/2a7f19f36276eb57692bfd7ad068db731f3b8aa552351f4ba2297e886ee40496/SORCEMEN/transferlearning
og:image:altEverything about Transfer Learning and Domain Adaptation--迁移学习 - SORCEMEN/transferlearning
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
hostnamegithub.com
expected-hostnamegithub.com
None5290d7e14309ad1e76106a9c4237bd1041517e83ea182c8ab756752cb0c6940b
turbo-cache-controlno-cache
go-importgithub.com/SORCEMEN/transferlearning git https://github.com/SORCEMEN/transferlearning.git
octolytics-dimension-user_id43603356
octolytics-dimension-user_loginSORCEMEN
octolytics-dimension-repository_id154495370
octolytics-dimension-repository_nwoSORCEMEN/transferlearning
octolytics-dimension-repository_publictrue
octolytics-dimension-repository_is_forktrue
octolytics-dimension-repository_parent_id89846872
octolytics-dimension-repository_parent_nwojindongwang/transferlearning
octolytics-dimension-repository_network_root_id89846872
octolytics-dimension-repository_network_root_nwojindongwang/transferlearning
turbo-body-classeslogged-out env-production page-responsive
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
release9c975978430e9ad293956f2bbdaf153b1bd84a99
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://github.com/SORCEMEN/transferlearning#start-of-content
https://github.com/
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FSORCEMEN%2Ftransferlearning
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub Copilot appDirect agents from issue to mergehttps://github.com/features/ai/github-app
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
View all resourceshttps://github.com/resources
GitHub SponsorsFund open source developershttps://github.com/open-source/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/open-source/accelerator
GitHub Starshttps://stars.github.com
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/enterprise/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FSORCEMEN%2Ftransferlearning
Sign up https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=SORCEMEN%2Ftransferlearning
Reloadhttps://github.com/SORCEMEN/transferlearning
Reloadhttps://github.com/SORCEMEN/transferlearning
Reloadhttps://github.com/SORCEMEN/transferlearning
SORCEMEN https://github.com/SORCEMEN
transferlearninghttps://github.com/SORCEMEN/transferlearning
jindongwang/transferlearninghttps://github.com/jindongwang/transferlearning
Notifications https://github.com/login?return_to=%2FSORCEMEN%2Ftransferlearning
Fork 0 https://github.com/login?return_to=%2FSORCEMEN%2Ftransferlearning
Star 0 https://github.com/login?return_to=%2FSORCEMEN%2Ftransferlearning
Code https://github.com/SORCEMEN/transferlearning
Pull requests 0 https://github.com/SORCEMEN/transferlearning/pulls
Actions https://github.com/SORCEMEN/transferlearning/actions
Projects https://github.com/SORCEMEN/transferlearning/projects
Wiki https://github.com/SORCEMEN/transferlearning/wiki
Security and quality 0 https://github.com/SORCEMEN/transferlearning/security
Insights https://github.com/SORCEMEN/transferlearning/pulse
Code https://github.com/SORCEMEN/transferlearning
Pull requests https://github.com/SORCEMEN/transferlearning/pulls
Actions https://github.com/SORCEMEN/transferlearning/actions
Projects https://github.com/SORCEMEN/transferlearning/projects
Wiki https://github.com/SORCEMEN/transferlearning/wiki
Security and quality https://github.com/SORCEMEN/transferlearning/security
Insights https://github.com/SORCEMEN/transferlearning/pulse
https://github.com/SORCEMEN/transferlearning
Brancheshttps://github.com/SORCEMEN/transferlearning/branches
Tagshttps://github.com/SORCEMEN/transferlearning/tags
https://github.com/SORCEMEN/transferlearning/branches
https://github.com/SORCEMEN/transferlearning/tags
312 Commitshttps://github.com/SORCEMEN/transferlearning/commits/master/
https://github.com/SORCEMEN/transferlearning/commits/master/
codehttps://github.com/SORCEMEN/transferlearning/tree/master/code
codehttps://github.com/SORCEMEN/transferlearning/tree/master/code
datahttps://github.com/SORCEMEN/transferlearning/tree/master/data
datahttps://github.com/SORCEMEN/transferlearning/tree/master/data
dochttps://github.com/SORCEMEN/transferlearning/tree/master/doc
dochttps://github.com/SORCEMEN/transferlearning/tree/master/doc
pnghttps://github.com/SORCEMEN/transferlearning/tree/master/png
pnghttps://github.com/SORCEMEN/transferlearning/tree/master/png
.gitignorehttps://github.com/SORCEMEN/transferlearning/blob/master/.gitignore
.gitignorehttps://github.com/SORCEMEN/transferlearning/blob/master/.gitignore
CNAMEhttps://github.com/SORCEMEN/transferlearning/blob/master/CNAME
CNAMEhttps://github.com/SORCEMEN/transferlearning/blob/master/CNAME
README.mdhttps://github.com/SORCEMEN/transferlearning/blob/master/README.md
README.mdhttps://github.com/SORCEMEN/transferlearning/blob/master/README.md
_config.ymlhttps://github.com/SORCEMEN/transferlearning/blob/master/_config.yml
_config.ymlhttps://github.com/SORCEMEN/transferlearning/blob/master/_config.yml
READMEhttps://github.com/SORCEMEN/transferlearning
https://github.com/SORCEMEN/transferlearning#迁移学习-transfer-learning
https://github.com/SORCEMEN/transferlearning#目录-table-of-contents
最新文章 Latesthttps://github.com/SORCEMEN/transferlearning#0latest
迁移学习简介 Introduction to transfer learninghttps://github.com/SORCEMEN/transferlearning#1%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%AE%80%E4%BB%8B
研究领域与相关文章 Research articles by areahttps://github.com/SORCEMEN/transferlearning#2%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E7%A0%94%E7%A9%B6%E9%A2%86%E5%9F%9F%E4%B8%8E%E7%9B%B8%E5%85%B3%E6%96%87%E7%AB%A0
理论与综述文章 Theoretical and survey papershttps://github.com/SORCEMEN/transferlearning#3%E7%90%86%E8%AE%BA%E4%B8%8E%E7%BB%BC%E8%BF%B0%E6%96%87%E7%AB%A0
相关代码 Available codeshttps://github.com/SORCEMEN/transferlearning#4%E4%BB%A3%E7%A0%81
迁移学习代表性研究学者 Scholarshttps://github.com/SORCEMEN/transferlearning#5%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
相关的硕博士论文 Thesishttps://github.com/SORCEMEN/transferlearning#6%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
常用公开数据集及算法结果 Datasets and benchmarkhttps://github.com/SORCEMEN/transferlearning#7%E5%85%AC%E5%BC%80%E6%95%B0%E6%8D%AE%E9%9B%86%E5%8F%8A%E5%AE%9E%E9%AA%8C%E7%BB%93%E6%9E%9C
比赛 Challenges and competitionshttps://github.com/SORCEMEN/transferlearning#8%E6%AF%94%E8%B5%9B
其他 Miscellaneoushttps://github.com/SORCEMEN/transferlearning#%E5%85%B6%E4%BB%96
Contributinghttps://github.com/SORCEMEN/transferlearning#contributing
行为识别https://github.com/jindongwang/activityrecognition
机器学习https://github.com/jindongwang/MachineLearning
https://github.com/SORCEMEN/transferlearning#0latest
迁移学习文章汇总 Awesome transfer learning papershttps://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
Multi-Task Learning as Multi-Objective Optimizationhttps://arxiv.org/abs/1810.04650
Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoderhttps://arxiv.org/abs/1810.04642
The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Datahttps://arxiv.org/abs/1808.03331
Transfer Metric Learning: Algorithms, Applications and Outlookshttps://arxiv.org/abs/1810.03944
Bird Species Classification using Transfer Learning with Multistage Traininghttps://arxiv.org/abs/1810.04250
Survival prediction using ensemble tumor segmentation and transfer learninghttps://arxiv.org/abs/1810.04274
Domain Confusion with Self Ensembling for Unsupervised Adaptationhttps://arxiv.org/abs/1810.04472
Unsupervised Learning via Meta-Learninghttps://arxiv.org/abs/1810.02334
更多 More...https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
https://github.com/SORCEMEN/transferlearning#1迁移学习简介
简单的中文简介 Chinese introductionhttps://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
PDFhttp://jd92.wang/assets/files/l12_da.pdf
Videohttp://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
《迁移学习简明手册》Transfer Learning Tutorialhttps://zhuanlan.zhihu.com/p/35352154
开发维护地址https://github.com/jindongwang/transferlearning-tutorial
台湾大学李宏毅的视频讲解(中文视频)https://www.youtube.com/watch?v=qD6iD4TFsdQ
迁移学习中的领域自适应方法(中文)http://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247484940&idx=2&sn=35e64e07fde9a96afbb65dbf40a945eb&chksm=ec1febf5db6862e38d5e02ff3278c61b376932a46c5628c7d9cb1769c572bfd31819c13dd468&mpshare=1&scene=1&srcid=1219JpTNZFiNDCHsTUrUxwqy#rd
迁移学习领域的著名学者、代表工作及实验室介绍 Transfer Learning Scholars and Labshttps://github.com/jindongwang/transferlearning/blob/master/doc/scholar_TL.md
负迁移(negative transfer)https://www.zhihu.com/question/66492194/answer/242870418
基于深度学习和迁移学习的识花实践 Using Transfer Learning for Flower Recognitionhttps://cosx.org/2017/10/transfer-learning/
基于Pytorch的图像分类 Using Transfer Learning for Image Classificationhttps://github.com/miguelgfierro/sciblog_support/blob/master/A_Gentle_Introduction_to_Transfer_Learning/Intro_Transfer_Learning.ipynb
使用Pytorch进行finetune Using Pytorch for Fine-tunehttps://github.com/Spandan-Madan/Pytorch_fine_tuning_Tutorial
基于AlexNet和ResNet的finetune Fine-tune based on Alexnet and Resnethttps://github.com/jindongwang/transferlearning/tree/master/code/AlexNet_ResNet
https://github.com/SORCEMEN/transferlearning#2迁移学习研究领域与相关文章
领域自适应(非深度) Domain Adaptation (Shallow)https://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E9%A2%86%E5%9F%9F%E8%87%AA%E9%80%82%E5%BA%94
Domain adaptationhttps://github.com/jindongwang/transferlearning/blob/master/doc/domain_adaptation.md
在线迁移学习 Online transfer learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E5%9C%A8%E7%BA%BF%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
终身迁移学习 Lifelong transfer learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E7%BB%88%E8%BA%AB%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
异构迁移学习 Heterogeneous Transfer Learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E5%BC%82%E6%9E%84%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
深度迁移学习 Deep Transfer Learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E6%B7%B1%E5%BA%A6%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
深度对抗迁移迁移学习 Deep Adversarial transfer learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E5%AF%B9%E6%8A%97%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
传递迁移学习 Transitive Transfer Learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E4%BC%A0%E9%80%92%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
强化迁移学习 Transfer Learning with Reinforcement Learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E5%BC%BA%E5%8C%96%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
应用 Applicationshttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#%E5%BA%94%E7%94%A8
迁移学习用于行为识别 Transfer learning for activity recognitionhttps://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
paperweeklyhttp://www.paperweekly.site/collections/231/papers
https://github.com/SORCEMEN/transferlearning#3理论与综述文章
A survey on transfer learninghttp://ieeexplore.ieee.org/abstract/document/5288526/
Analysis of Representations for Domain Adaptationhttps://dl.acm.org/citation.cfm?id=2976474
A Theory of Learning from Different Domainshttps://link.springer.com/article/10.1007/s10994-009-5152-4
Learning Bounds for Domain Adaptationhttp://papers.nips.cc/paper/3212-learning-bounds-for-domain-adaptation
A Hilbert Space Embedding for Distributionshttps://link.springer.com/chapter/10.1007/978-3-540-75225-7_5
A Kernel Two-Sample Testhttp://www.jmlr.org/papers/v13/gretton12a.html
Optimal kernel choice for large-scale two-sample testshttp://papers.nips.cc/paper/4727-optimal-kernel-choice-for-large-scale-two-sample-tests
Matlabhttps://github.com/lopezpaz/classifier_tests/tree/master/code/unit_test_mmd
Pythonhttps://github.com/jindongwang/transferlearning/tree/master/code/basic/mmd.py
Transfer Metric Learning: Algorithms, Applications and Outlookshttps://arxiv.org/abs/1810.03944
Asymmetric Heterogeneous Transfer Learning: A Surveyhttps://arxiv.org/abs/1804.10834
Neural Style Transfer: A Reviewhttps://arxiv.org/abs/1705.04058
Deep Visual Domain Adaptation: A Surveyhttps://www.sciencedirect.com/science/article/pii/S0925231218306684
A survey on multi-task learninghttps://arxiv.org/abs/1707.08114
A survey on heterogeneous transfer learninghttps://link.springer.com/article/10.1186/s40537-017-0089-0
Cross-dataset recognition: a surveyhttps://arxiv.org/abs/1705.04396
A survey of transfer learninghttps://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 Advanceshttps://pan.baidu.com/s/1o8BR7Vc
Transfer Learning for Activity Recognition: A Surveyhttps://pan.baidu.com/s/1kVABOYr
Transfer Learning for Reinforcement Learning Domains: A Surveyhttps://pan.baidu.com/s/1slfr0w1
A Survey of Multi-source Domain Adaptationhttps://pan.baidu.com/s/1eSGREF4
https://github.com/SORCEMEN/transferlearning#4代码
这里https://github.com/jindongwang/transferlearning/tree/master/code
HEREhttps://github.com/jindongwang/transferlearning/tree/master/code
https://github.com/SORCEMEN/transferlearning#5迁移学习代表性研究学者
这里https://github.com/jindongwang/transferlearning/blob/master/doc/scholar_TL.md
herehttps://github.com/jindongwang/transferlearning/blob/master/doc/scholar_TL.md
Qiang Yanghttp://www.cs.ust.hk/~qyang/
Google scholarhttps://scholar.google.com/citations?user=1LxWZLQAAAAJ&hl=zh-CN
Sinno Jialin Panhttp://www.ntu.edu.sg/home/sinnopan/
Google scholarhttps://scholar.google.com/citations?user=P6WcnfkAAAAJ&hl=zh-CN
Wenyuan Daihttps://scholar.google.com.sg/citations?user=AGR9pP0AAAAJ&hl=zh-CN
Google scholarhttps://scholar.google.com.hk/citations?hl=zh-CN&user=AGR9pP0AAAAJ
Lixin Duanhttp://www.lxduan.info/
Google scholarhttps://scholar.google.com.hk/citations?user=inRIcS0AAAAJ&hl=zh-CN&oi=ao
Fuzhen Zhuanghttp://www.intsci.ac.cn/users/zhuangfuzhen/
Google scholarhttps://scholar.google.com/citations?user=klJBYrAAAAAJ&hl=zh-CN&oi=ao
Mingsheng Longhttp://ise.thss.tsinghua.edu.cn/~mlong/
Google scholarhttps://scholar.google.com/citations?view_op=search_authors&mauthors=mingsheng+long&hl=zh-CN&oi=ao
Qingyao Wuhttps://sites.google.com/site/qysite/
Google scholarhttps://scholar.google.com.hk/citations?user=n6e_2IgAAAAJ&hl=zh-CN&oi=ao
Weike Panhttps://sites.google.com/site/weikep/
Google Scholarhttps://scholar.google.com/citations?user=pC5Q26MAAAAJ&hl=en
Tongliang Liuhttp://ieeexplore.ieee.org/abstract/document/8259375/
Google scholarhttps://scholar.google.com.hk/citations?hl=zh-CN&user=EiLdZ_YAAAAJ
Tatiana Tommasihttp://tatianatommasi.wixsite.com/tatianatommasi/3
https://github.com/SORCEMEN/transferlearning#6迁移学习相关的硕博士论文
Correlation Alignment for Domain Adaptationhttp://www.cs.uml.edu/~bsun/papers/baochen_phd_thesis.pdf
Kernel Methods for Unsupervised Domain Adaptationhttps://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 Recognitionhttps://pan.baidu.com/s/1bp2K9HX
Learning with Limited Data in Sensor-based Human Behavior Predictionhttps://pan.baidu.com/s/1o8MbbBk
Feature-based Transfer Learning and Its Applicationshttps://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://github.com/SORCEMEN/transferlearning#7公开数据集及实验结果
HEREhttps://github.com/jindongwang/transferlearning/blob/master/data
这里https://github.com/jindongwang/transferlearning/blob/master/data
https://github.com/SORCEMEN/transferlearning#8比赛
Visual Domain Adaptation Challenge (VisDA)http://ai.bu.edu/visda-2018/
https://github.com/SORCEMEN/transferlearning#其他
https://domainadaptation.orghttps://domainadaptation.org
https://github.com/SORCEMEN/transferlearning#contributing
UPLOADhttps://my.pcloud.com/#page=puplink&code=4e9Z0Vwpmfzvx0y2OqTTTMzkrRUz8q9V
DOWNLOADhttps://my.pcloud.com/publink/show?code=kZWtboZbDDVguCHGV49QkmlLliNPJRMHrFX
transferlearning.xyz/http://transferlearning.xyz/
Readme https://github.com/SORCEMEN/transferlearning#readme-ov-file
Please reload this pagehttps://github.com/SORCEMEN/transferlearning
Activityhttps://github.com/SORCEMEN/transferlearning/activity
0 forkshttps://github.com/SORCEMEN/transferlearning/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FSORCEMEN%2Ftransferlearning&report=SORCEMEN+%28user%29
Releaseshttps://github.com/SORCEMEN/transferlearning/releases
Packages 0https://github.com/users/SORCEMEN/packages?repo_name=transferlearning
Please reload this pagehttps://github.com/SORCEMEN/transferlearning
Contributorshttps://github.com/SORCEMEN/transferlearning/graphs/contributors
Please reload this pagehttps://github.com/SORCEMEN/transferlearning
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.