René's URL Explorer Experiment


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

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

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

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

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

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

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

X: @github

direct link

Domain: github.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:3933472e-0c6b-0689-eca8-041f27068d09
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idCEC0:53774:40B4B:55158:6A5CAC9B
html-safe-nonce3e3a5fd63ef3dee99597ac50ae05cbec9e27abbbda52d959f45fe715ef242164
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJDRUMwOjUzNzc0OjQwQjRCOjU1MTU4OjZBNUNBQzlCIiwidmlzaXRvcl9pZCI6Ijg0NTQ1NzYwMDIyMTE1NTY1MDciLCJyZWdpb25fZWRnZSI6ImlhZCIsInJlZ2lvbl9yZW5kZXIiOiJpYWQifQ==
visitor-hmac463799357d638a24a3646f7af9dcde10caacc3ff7a467e1937563f16b198db4b
hovercard-subject-tagrepository:183179922
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/wanglixiagithub/transferlearning
twitter:imagehttps://opengraph.githubassets.com/0af893d3b45971aa39c3f72ee365d7e217fcd558668b563565aa9c36f7b756f8/wanglixiagithub/transferlearning
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/0af893d3b45971aa39c3f72ee365d7e217fcd558668b563565aa9c36f7b756f8/wanglixiagithub/transferlearning
og:image:altEverything about Transfer Learning and Domain Adaptation--迁移学习 - wanglixiagithub/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/wanglixiagithub/transferlearning git https://github.com/wanglixiagithub/transferlearning.git
octolytics-dimension-user_id26536287
octolytics-dimension-user_loginwanglixiagithub
octolytics-dimension-repository_id183179922
octolytics-dimension-repository_nwowanglixiagithub/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/wanglixiagithub/transferlearning#start-of-content
https://github.com/
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fwanglixiagithub%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%2Fwanglixiagithub%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=wanglixiagithub%2Ftransferlearning
Reloadhttps://github.com/wanglixiagithub/transferlearning
Reloadhttps://github.com/wanglixiagithub/transferlearning
Reloadhttps://github.com/wanglixiagithub/transferlearning
wanglixiagithub https://github.com/wanglixiagithub
transferlearninghttps://github.com/wanglixiagithub/transferlearning
jindongwang/transferlearninghttps://github.com/jindongwang/transferlearning
Notifications https://github.com/login?return_to=%2Fwanglixiagithub%2Ftransferlearning
Fork 0 https://github.com/login?return_to=%2Fwanglixiagithub%2Ftransferlearning
Star 0 https://github.com/login?return_to=%2Fwanglixiagithub%2Ftransferlearning
Code https://github.com/wanglixiagithub/transferlearning
Pull requests 0 https://github.com/wanglixiagithub/transferlearning/pulls
Actions https://github.com/wanglixiagithub/transferlearning/actions
Projects https://github.com/wanglixiagithub/transferlearning/projects
Security and quality 0 https://github.com/wanglixiagithub/transferlearning/security
Insights https://github.com/wanglixiagithub/transferlearning/pulse
Code https://github.com/wanglixiagithub/transferlearning
Pull requests https://github.com/wanglixiagithub/transferlearning/pulls
Actions https://github.com/wanglixiagithub/transferlearning/actions
Projects https://github.com/wanglixiagithub/transferlearning/projects
Security and quality https://github.com/wanglixiagithub/transferlearning/security
Insights https://github.com/wanglixiagithub/transferlearning/pulse
https://github.com/wanglixiagithub/transferlearning
Brancheshttps://github.com/wanglixiagithub/transferlearning/branches
Tagshttps://github.com/wanglixiagithub/transferlearning/tags
https://github.com/wanglixiagithub/transferlearning/branches
https://github.com/wanglixiagithub/transferlearning/tags
456 Commitshttps://github.com/wanglixiagithub/transferlearning/commits/master/
https://github.com/wanglixiagithub/transferlearning/commits/master/
codehttps://github.com/wanglixiagithub/transferlearning/tree/master/code
codehttps://github.com/wanglixiagithub/transferlearning/tree/master/code
datahttps://github.com/wanglixiagithub/transferlearning/tree/master/data
datahttps://github.com/wanglixiagithub/transferlearning/tree/master/data
dochttps://github.com/wanglixiagithub/transferlearning/tree/master/doc
dochttps://github.com/wanglixiagithub/transferlearning/tree/master/doc
pnghttps://github.com/wanglixiagithub/transferlearning/tree/master/png
pnghttps://github.com/wanglixiagithub/transferlearning/tree/master/png
.gitignorehttps://github.com/wanglixiagithub/transferlearning/blob/master/.gitignore
.gitignorehttps://github.com/wanglixiagithub/transferlearning/blob/master/.gitignore
CNAMEhttps://github.com/wanglixiagithub/transferlearning/blob/master/CNAME
CNAMEhttps://github.com/wanglixiagithub/transferlearning/blob/master/CNAME
CONTRIBUTING.mdhttps://github.com/wanglixiagithub/transferlearning/blob/master/CONTRIBUTING.md
CONTRIBUTING.mdhttps://github.com/wanglixiagithub/transferlearning/blob/master/CONTRIBUTING.md
LICENSEhttps://github.com/wanglixiagithub/transferlearning/blob/master/LICENSE
LICENSEhttps://github.com/wanglixiagithub/transferlearning/blob/master/LICENSE
README.mdhttps://github.com/wanglixiagithub/transferlearning/blob/master/README.md
README.mdhttps://github.com/wanglixiagithub/transferlearning/blob/master/README.md
_config.ymlhttps://github.com/wanglixiagithub/transferlearning/blob/master/_config.yml
_config.ymlhttps://github.com/wanglixiagithub/transferlearning/blob/master/_config.yml
READMEhttps://github.com/wanglixiagithub/transferlearning
Contributinghttps://github.com/wanglixiagithub/transferlearning
MIT licensehttps://github.com/wanglixiagithub/transferlearning
https://github.com/wanglixiagithub/transferlearning#迁移学习-transfer-learning
https://opensource.org/licenses/MIT
https://github.com/996icu/996.ICU/blob/master/LICENSE
https://996.icu
迁移学习 Transfer Learninghttps://github.com/wanglixiagithub/transferlearning#%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0-transfer-learning
0.Latest Publications (最新论文)https://github.com/wanglixiagithub/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://github.com/wanglixiagithub/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://github.com/wanglixiagithub/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://github.com/wanglixiagithub/transferlearning#3theory-and-survey-%E7%90%86%E8%AE%BA%E4%B8%8E%E7%BB%BC%E8%BF%B0
4.Code (代码)https://github.com/wanglixiagithub/transferlearning#4code-%E4%BB%A3%E7%A0%81
5.Transfer Learning Scholars (著名学者)https://github.com/wanglixiagithub/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://github.com/wanglixiagithub/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://github.com/wanglixiagithub/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://github.com/wanglixiagithub/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://github.com/wanglixiagithub/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://github.com/wanglixiagithub/transferlearning#other-resources-%E5%85%B6%E4%BB%96%E8%B5%84%E6%BA%90
Contributing (欢迎参与贡献)https://github.com/wanglixiagithub/transferlearning#contributing-%E6%AC%A2%E8%BF%8E%E5%8F%82%E4%B8%8E%E8%B4%A1%E7%8C%AE
行为识别https://github.com/jindongwang/activityrecognition
机器学习https://github.com/jindongwang/MachineLearning
https://github.com/wanglixiagithub/transferlearning#0latest-publications-最新论文
Transfer learninghttp://arxitics.com/search?q=transfer%20learning&sort=updated#1904.01376/abstract
Domain adaptationhttp://arxitics.com/search?q=domain%20adaptation&sort=updated
Transfer learninghttp://arxitics.com/search?q=transfer%20learning&sort=updated#1904.01376/abstract
Domain adaptationhttp://arxitics.com/search?q=domain%20adaptation&sort=updated
迁移学习文章汇总 Awesome transfer learning papershttps://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognitionhttps://arxiv.org/abs/1904.08634
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognitionhttps://link.springer.com/chapter/10.1007/978-3-030-16148-4_9
Multi-task Learning for Target-Dependent Sentiment Classificationhttps://link.springer.com/chapter/10.1007/978-3-030-16148-4_15
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruninghttps://arxiv.org/abs/1904.02654
Easy Transfer Learning By Exploiting Intra-domain Structureshttps://arxiv.org/abs/1904.01376
Codehttp://transferlearning.xyz/code/traditional/EasyTL
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatchhttps://arxiv.org/abs/1904.05945
ACE: Adapting to Changing Environments for Semantic Segmentationhttps://arxiv.org/abs/1904.06268
Incremental multi-domain learning with network latent tensor factorizationhttps://arxiv.org/abs/1904.06345
Unsupervised Domain Adaptation for Multispectral Pedestrian Detectionhttps://arxiv.org/abs/1904.03692
Decomposition-Based Transfer Distance Metric Learning for Image Classificationhttps://arxiv.org/abs/1904.03846
更多 More...https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md
https://github.com/wanglixiagithub/transferlearning#1introduction-and-tutorials-简介与教程
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
更多 More...https://github.com/jindongwang/transferlearning/tree/master/code
https://github.com/wanglixiagithub/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 Generalizationhttps://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 Learninghttps://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
Paperweeklyhttp://www.paperweekly.site/collections/231/papers
https://github.com/wanglixiagithub/transferlearning#3theory-and-survey-理论与综述
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 Adaptation Learning: A Decade Surveyhttps://arxiv.org/abs/1903.04687
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/wanglixiagithub/transferlearning#4code-代码
这里https://github.com/jindongwang/transferlearning/tree/master/code
HEREhttps://github.com/jindongwang/transferlearning/tree/master/code
https://github.com/wanglixiagithub/transferlearning#5transfer-learning-scholars-著名学者
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
Boqing Gonghttp://boqinggong.info/index.html
Google scholarhttps://scholar.google.com/citations?user=lv9ZeVUAAAAJ&hl=en
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/wanglixiagithub/transferlearning#6transfer-learning-thesis-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/wanglixiagithub/transferlearning#7datasets-and-benchmarks-数据集与评测结果
HEREhttps://github.com/jindongwang/transferlearning/blob/master/data
这里https://github.com/jindongwang/transferlearning/blob/master/data
https://github.com/wanglixiagithub/transferlearning#8transfer-learning-challenges-迁移学习比赛
Visual Domain Adaptation Challenge (VisDA)http://ai.bu.edu/visda-2018/
https://github.com/wanglixiagithub/transferlearning#applications-迁移学习应用
HEREhttps://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://github.com/wanglixiagithub/transferlearning#other-resources-其他资源
Transfer Learning for Multimedia Applications(A Special Issue on Multimedia Tools and Applications (MTAP))https://lijin118.github.io/mtap/
A semi-supervised domain adaptation libraryhttps://domainadaptation.org
https://github.com/wanglixiagithub/transferlearning#contributing-欢迎参与贡献
HEREhttps://github.com/jindongwang/transferlearning/blob/master/CONTRIBUTING.md
transferlearning.xyz/http://transferlearning.xyz/
Readme https://github.com/wanglixiagithub/transferlearning#readme-ov-file
MIT license https://github.com/wanglixiagithub/transferlearning#MIT-1-ov-file
Contributing https://github.com/wanglixiagithub/transferlearning#contributing-ov-file
Please reload this pagehttps://github.com/wanglixiagithub/transferlearning
Activityhttps://github.com/wanglixiagithub/transferlearning/activity
0 forkshttps://github.com/wanglixiagithub/transferlearning/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fwanglixiagithub%2Ftransferlearning&report=wanglixiagithub+%28user%29
Releaseshttps://github.com/wanglixiagithub/transferlearning/releases
Packages 0https://github.com/users/wanglixiagithub/packages?repo_name=transferlearning
Please reload this pagehttps://github.com/wanglixiagithub/transferlearning
Contributorshttps://github.com/wanglixiagithub/transferlearning/graphs/contributors
Please reload this pagehttps://github.com/wanglixiagithub/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.