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IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languageshttps://arxiv.org/abs/2201.11732
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center studyhttps://arxiv.org/abs/2201.11620
Domain-Invariant Representation Learning from EEG with Private Encodershttps://arxiv.org/abs/2201.11613
Gap Minimization for Knowledge Sharing and Transferhttps://arxiv.org/abs/2201.11231
DROPO: Sim-to-Real Transfer with Offline Domain Randomizationhttps://arxiv.org/abs/2201.08434
Knowledge Sharing via Domain Adaptation in Customs Fraud Detectionhttps://arxiv.org/abs/2201.06759
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentationhttps://arxiv.org/abs/2201.06974
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the featureshttps://arxiv.org/abs/2201.04449
A Likelihood Ratio based Domain Adaptation Method for E2E Modelshttps://github.com/Jason-cs18/transferlearning/blob/master/2201.03655
Transfer Learning for Scene Text Recognition in Indian Languageshttps://github.com/Jason-cs18/transferlearning/blob/master/2201.03180
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglementhttps://arxiv.org/abs/2201.01929
Mixture of basis for interpretable continual learning with distribution shiftshttps://arxiv.org/abs/2201.01853
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detectionhttps://arxiv.org/abs/2201.00464
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentationhttps://arxiv.org/abs/2112.13538
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domainshttps://arxiv.org/abs/2112.13539
Data-Free Knowledge Transfer: A Surveyhttps://arxiv.org/abs/2112.15278
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classificationhttps://arxiv.org/abs/2112.13236
Optimal Representations for Covariate Shifthttps://arxiv.org/abs/2201.00057
Transfer-learning-based Surrogate Model for Thermal Conductivity of Nanofluidshttps://arxiv.org/abs/2201.00435
Transfer learning of phase transitions in percolation and directed percolationhttps://arxiv.org/abs/2112.15516
Transfer learning for cancer diagnosis in histopathological imageshttps://arxiv.org/abs/2112.15523
Exploiting Adapters for Cross-lingual Low-resource Speech Recognitionhttps://arxiv.org/abs/2105.11905
Zhihu articlehttps://zhuanlan.zhihu.com/p/448216624
More is Better: A Novel Multi-view Framework for Domain Generalizationhttps://arxiv.org/abs/2112.12329
SLIP: Self-supervision meets Language-Image Pre-traininghttps://arxiv.org/abs/2112.12750
Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systemshttps://arxiv.org/abs/2112.08718
UMAD: Universal Model Adaptation under Domain and Category Shifthttps://arxiv.org/abs/2112.08553
Domain Adaptation on Point Clouds via Geometry-Aware Implicitshttps://arxiv.org/abs/2112.09343
A Survey of Unsupervised Domain Adaptation for Visual Recognitionhttp://arxiv.org/abs/2112.06745
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Taskshttp://arxiv.org/abs/2112.06825
Federated Learning with Adaptive Batchnorm for Personalized Healthcarehttps://arxiv.org/abs/2112.00734
Unsupervised Domain Adaptation: A Reality Checkhttps://arxiv.org/abs/2111.15672
Hierarchical Optimal Transport for Unsupervised Domain Adaptationhttps://arxiv.org/abs/2112.02073
Unsupervised Domain Generalization by Learning a Bridge Across Domainshttps://arxiv.org/abs/2112.02300
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learninghttps://arxiv.org/abs/2112.01948
Subtask-dominated Transfer Learning for Long-tail Person Searchhttps://arxiv.org/abs/2112.00527
Revisiting the Transferability of Supervised Pretraining: an MLP Perspectivehttps://arxiv.org/abs/2112.00496
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systemshttps://arxiv.org/abs/2112.00424
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sourceshttps://arxiv.org/abs/2111.13822
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillationhttps://arxiv.org/abs/2111.14353
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shiftshttps://arxiv.org/abs/2111.14341
Towards Principled Disentanglement for Domain Generalizationhttps://arxiv.org/abs/2111.13839
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learninghttps://arxiv.org/abs/2111.11646
Component Transfer Learning for Deep RL Based on Abstract Representationshttps://arxiv.org/abs/2111.11525
Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shifthttps://arxiv.org/abs/2111.10344
Combined Scaling for Zero-shot Transfer Learninghttps://arxiv.org/abs/2111.10050
Federated Learning with Domain Generalizationhttps://arxiv.org/abs/2111.10487
Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baselinehttps://arxiv.org/abs/2111.10221
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learninghttps://arxiv.org/abs/2111.10827
On Representation Knowledge Distillation for Graph Neural Networkshttps://arxiv.org/abs/2111.04964
Domain Attention Consistency for Multi-Source Domain Adaptationhttps://arxiv.org/abs/2111.03911
Action Recognition using Transfer Learning and Majority Voting for CSGOhttps://arxiv.org/abs/2111.03882
Open-Set Crowdsourcing using Multiple-Source Transfer Learninghttps://arxiv.org/abs/2111.04073
Improved Regularization and Robustness for Fine-tuning in Neural Networkshttps://arxiv.org/abs/2111.04578
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimationhttps://arxiv.org/abs/2111.02682
Modular Gaussian Processes for Transfer Learninghttps://arxiv.org/abs/2110.13515
Estimating and Maximizing Mutual Information for Knowledge Distillationhttps://arxiv.org/abs/2110.15946
On Label Shift in Domain Adaptation via Wasserstein Distancehttps://arxiv.org/abs/2110.15520
Xi-Learning: Successor Feature Transfer Learning for General Reward Functionshttps://arxiv.org/abs/2110.15701
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentationhttps://arxiv.org/abs/2110.15823
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptationhttps://arxiv.org/abs/2110.14509
Temporal Knowledge Distillation for On-device Audio Classificationhttps://arxiv.org/abs/2110.14131
Transferring Domain-Agnostic Knowledge in Video Question Answeringhttps://arxiv.org/abs/2110.13395
SILT: Self-supervised Lighting Transfer Using Implicit Image Decompositionhttps://arxiv.org/abs/2110.12914
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrievalhttps://arxiv.org/abs/2110.12812
Age and Gender Prediction using Deep CNNs and Transfer Learninghttps://arxiv.org/abs/2110.12633
Domain Adaptation for Rare Classes Augmented with Synthetic Sampleshttps://arxiv.org/abs/2110.12216
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentationhttps://arxiv.org/abs/2110.12369
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learninghttps://arxiv.org/abs/2110.12997
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognitionhttps://arxiv.org/abs/2110.10101
Dynamic Feature Alignment for Semi-supervised Domain Adaptationhttps://arxiv.org/abs/2110.09641
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labelinghttps://arxiv.org/abs/2110.08263
知乎解读https://zhuanlan.zhihu.com/p/422930830
codehttps://github.com/TorchSSL/TorchSSL
Rethinking supervised pre-training for better downstream transferringhttps://arxiv.org/abs/2110.06014
Music Sentiment Transferhttps://arxiv.org/abs/2110.05765
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Datahttp://arxiv.org/abs/2110.03374
Understanding Domain Randomization for Sim-to-real Transferhttp://arxiv.org/abs/2110.03239
Dynamically Decoding Source Domain Knowledge For Unseen Domain Generalizationhttp://arxiv.org/abs/2110.03027
Scale Invariant Domain Generalization Image Recapture Detectionhttp://arxiv.org/abs/2110.03496
Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptationhttps://ieeexplore.ieee.org/abstract/document/9535218
Entropy Minimization Versus Diversity Maximization for Domain Adaptationhttps://ieeexplore.ieee.org/abstract/document/9537640
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimationhttps://arxiv.org/abs/2109.11798
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuninghttps://arxiv.org/abs/2109.06349
Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translationhttps://arxiv.org/abs/2109.06604
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillationhttps://arxiv.org/abs/2109.06243
Cross-Region Domain Adaptation for Class-level Alignmenthttps://arxiv.org/abs/2109.06422
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learninghttps://arxiv.org/abs/2109.05664
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptationhttps://arxiv.org/abs/2109.06165
Shape-Biased Domain Generalization via Shock Graph Embeddingshttps://arxiv.org/abs/2109.05671
Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentationhttps://arxiv.org/abs/2109.05676
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimizationhttps://arxiv.org/abs/2109.03676
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learninghttps://arxiv.org/abs/2109.03775
Fishr: Invariant Gradient Variances for Out-of-distribution Generalizationhttps://arxiv.org/abs/2109.02934
How Does Adversarial Fine-Tuning Benefit BERT?https://arxiv.org/abs/2108.13602
Contrastive Domain Adaptation for Question Answering using Limited Text Corporahttps://arxiv.org/abs/2108.13854
Robust Ensembling Network for Unsupervised Domain Adaptationhttps://arxiv.org/abs/2108.09473
Federated Multi-Task Learning under a Mixture of Distributionshttps://arxiv.org/abs/2108.10252
Fine-tuning is Fine in Federated Learninghttp://arxiv.org/abs/2108.07313
Federated Multi-Target Domain Adaptationhttp://arxiv.org/abs/2108.07792
Learning Transferable Parameters for Unsupervised Domain Adaptationhttps://arxiv.org/abs/2108.06129
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysishttps://arxiv.org/abs/2108.05930
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptationhttps://arxiv.org/abs/2108.05988
AdaRNN: Adaptive Learning and Forecasting of Time Serieshttps://arxiv.org/abs/2108.04443
Codehttps://github.com/jindongwang/transferlearning/tree/master/code/deep/adarnn
知乎文章https://zhuanlan.zhihu.com/p/398036372
Videohttps://www.bilibili.com/video/BV1Gh411B7rj/
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signalshttps://arxiv.org/abs/2107.12626
Generating Personalized Dialogue via Multi-Task Meta-Learninghttps://arxiv.org/abs/2108.03377
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentationhttps://arxiv.org/abs/2108.03267
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directionshttps://arxiv.org/abs/2108.03357
A Data Augmented Approach to Transfer Learning for Covid-19 Detectionhttps://arxiv.org/abs/2108.02870
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encodinghttps://arxiv.org/abs/2108.02953
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learninghttps://arxiv.org/abs/2108.02959
Finetuning Pretrained Transformers into Variational Autoencodershttps://arxiv.org/abs/2108.02446
Pre-trained Models for Sonar Imageshttp://arxiv.org/abs/2108.01111
Domain Adaptor Networks for Hyperspectral Image Recognitionhttp://arxiv.org/abs/2108.01555
Efficient Conditional GAN Transfer With Knowledge Propagation Across Classeshttps://openaccess.thecvf.com/content/CVPR2021/html/Shahbazi_Efficient_Conditional_GAN_Transfer_With_Knowledge_Propagation_Across_Classes_CVPR_2021_paper.html
Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videoshttps://openaccess.thecvf.com/content/CVPR2021/html/Li_Ego-Exo_Transferring_Visual_Representations_From_Third-Person_to_First-Person_Videos_CVPR_2021_paper.html
Toward Co-creative Dungeon Generation via Transfer Learninghttp://arxiv.org/abs/2107.12533
Transfer Learning in Electronic Health Records through Clinical Concept Embeddinghttps://arxiv.org/abs/2107.12919
Conditional Bures Metric for Domain Adaptationhttps://openaccess.thecvf.com/content/CVPR2021/html/Luo_Conditional_Bures_Metric_for_Domain_Adaptation_CVPR_2021_paper.html
Wasserstein Barycenter for Multi-Source Domain Adaptationhttps://openaccess.thecvf.com/content/CVPR2021/html/Montesuma_Wasserstein_Barycenter_for_Multi-Source_Domain_Adaptation_CVPR_2021_paper.html
Generalized Domain Adaptationhttps://openaccess.thecvf.com/content/CVPR2021/html/Mitsuzumi_Generalized_Domain_Adaptation_CVPR_2021_paper.html
Reducing Domain Gap by Reducing Style Biashttps://openaccess.thecvf.com/content/CVPR2021/html/Nam_Reducing_Domain_Gap_by_Reducing_Style_Bias_CVPR_2021_paper.html
Uncertainty-Guided Model Generalization to Unseen Domainshttps://openaccess.thecvf.com/content/CVPR2021/html/Qiao_Uncertainty-Guided_Model_Generalization_to_Unseen_Domains_CVPR_2021_paper.html
Adaptive Methods for Real-World Domain Generalizationhttps://openaccess.thecvf.com/content/CVPR2021/html/Dubey_Adaptive_Methods_for_Real-World_Domain_Generalization_CVPR_2021_paper.html
Continual Learning in the Teacher-Student Setup: Impact of Task Similarityhttps://arxiv.org/abs/2107.04384
Exploring Dropout Discriminator for Domain Adaptationhttps://arxiv.org/abs/2107.04231
Lifelong Teacher-Student Network Learninghttps://arxiv.org/abs/2107.04689
Few-Shot Domain Adaptation with Polymorphic Transformershttps://arxiv.org/abs/2107.04805
Speech2Video: Cross-Modal Distillation for Speech to Video Generationhttps://arxiv.org/abs/2107.04806
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learninghttps://arxiv.org/abs/2107.04983
https://github.com/Jason-cs18/transferlearning#1introduction-and-tutorials-简介与教程
Buyhttps://item.jd.com/12930984.html
English versionhttps://www.cambridge.org/core/books/transfer-learning/CCFFAFE3CDBC245047F1DEC71D9EF3C7
Homepagehttp://jd92.wang/tlbook
Buyhttps://item.jd.com/13283188.html
Zhihu blogs - 知乎专栏《小王爱迁移》系列文章https://zhuanlan.zhihu.com/p/130244395
Recent advance of transfer learning - 2021年最新迁移学习发展现状探讨https://www.bilibili.com/video/BV1N5411T7Sb
Definitions of transfer learning area - 迁移学习领域名词解释https://www.bilibili.com/video/BV1fu411o7BW
Articlehttps://zhuanlan.zhihu.com/p/428097044
Domain generalization - 迁移学习新兴研究方向领域泛化https://www.bilibili.com/video/BV1ro4y1S7dd/
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
Recent advance of transfer learninghttp://jd92.wang/assets/files/l15_jiqizhixin.pdf
Domain generalization surveyhttp://jd92.wang/assets/files/DGSurvey-ppt.pdf
Brief introduction in Chinesehttps://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
Video on Bilibilihttps://www.bilibili.com/video/BV1T7411R75a/
Video on Youtubehttps://www.youtube.com/watch?v=RbIsHNtluwQ&t=22s
IJCAI'13http://ijcai13.org/files/tutorial_slides/td2.pdf
2016 versionhttp://kddchina.org/file/IntroTL2016.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 Resnethttps://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
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://github.com/Jason-cs18/transferlearning#2transfer-learning-areas-and-papers-研究领域与相关论文
Surveyhttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#survey
Theoryhttps://github.com/Jason-cs18/transferlearning#theory
Per-training/Finetuninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#per-trainingfinetuning
Knowledge distillationhttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#knowledge-distillation
Traditional domain adaptationhttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#traditional-domain-adaptation
Deep domain adaptationhttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#deep-domain-adaptation
Domain generalizationhttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#domain-generalization
Source-free domain adaptationhttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#source-free-domain-adaptation
Multi-source domain adaptationhttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#multi-source-domain-adaptation
Heterogeneous transfer learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#heterogeneous-transfer-learning
Online transfer learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#online-transfer-learning
Zero-shot / few-shot learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#zero-shot--few-shot-learning
Multi-task learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#multi-task-learning
Transfer reinforcement learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#transfer-reinforcement-learning
Transfer metric learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#transfer-metric-learning
Federated transfer learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#federated-transfer-learning
Lifelong transfer learninghttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#lifelong-transfer-learning
Transfer learning applicationshttps://github.com/jindongwang/transferlearning/blob/master/doc/awesome_paper.md#transfer-learning-applications
https://github.com/Jason-cs18/transferlearning#3theory-and-survey-理论与综述
Generalizing to Unseen Domains: A Survey on Domain Generalizationhttps://arxiv.org/abs/2103.03097
知乎文章https://zhuanlan.zhihu.com/p/354740610
微信公众号https://mp.weixin.qq.com/s/DsoVDYqLB1N7gj9X5UnYqw
A Comprehensive Survey on Transfer Learninghttps://arxiv.org/abs/1911.02685
Overcoming Negative Transfer: A Surveyhttps://arxiv.org/abs/2009.00909
Knowledge Distillation: A Surveyhttps://arxiv.org/abs/2006.05525
A Survey of Sentiment Analysis Based on Transfer Learninghttps://ieeexplore.ieee.org/abstract/document/8746210
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
A survey on transfer learninghttp://ieeexplore.ieee.org/abstract/document/5288526/
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
Few-shot domain adaptation by causal mechanism transferhttps://arxiv.org/pdf/2002.03497.pdf
Characterizing and Avoiding Negative Transferhttps://arxiv.org/abs/1811.09751
On Learning Language-Invariant Representations for Universal Machine Translationhttps://arxiv.org/abs/2008.04510
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
Domain adaptation: Learning bounds and algorithmshttps://arxiv.org/abs/0902.3430
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
https://github.com/Jason-cs18/transferlearning#4code-代码
Deep domain adaptationhttps://github.com/jindongwang/transferlearning/tree/master/code/DeepDA
Deep domain generalizationhttps://github.com/jindongwang/transferlearning/tree/master/code/DeepDG
HEREhttps://github.com/jindongwang/transferlearning/tree/master/code
HEREhttps://colab.research.google.com/drive/1MVuk95mMg4ecGyUAIG94vedF81HtWQAr?usp=sharing
https://github.com/Jason-cs18/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
https://github.com/Jason-cs18/transferlearning#6transfer-learning-thesis-硕博士论文
这里https://pan.baidu.com/share/init?surl=iuzZhHdumrD64-yx_VAybA
https://github.com/Jason-cs18/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/Jason-cs18/transferlearning#8transfer-learning-challenges-迁移学习比赛
Visual Domain Adaptation Challenge (VisDA)http://ai.bu.edu/visda-2018/
https://github.com/Jason-cs18/transferlearning#journals-and-conferences
herehttps://github.com/jindongwang/transferlearning/blob/master/doc/venues.md
https://github.com/Jason-cs18/transferlearning#applications-迁移学习应用
Computer visionhttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#computer-vision
Medical and healthcarehttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#medical-and-healthcare
Natural language processinghttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#natural-language-processing
Time serieshttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#time-series
Speechhttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#speech
Multimediahttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#multimedia
Recommendationhttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#recommendation
Human activity recognitionhttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#human-activity-recognition
Autonomous drivinghttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#autonomous-driving
Othershttps://github.com/jindongwang/transferlearning/blob/master/doc/transfer_learning_application.md#others
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/Jason-cs18/transferlearning#other-resources-其他资源
Advances in Transfer Learning: Theory, Algorithms, and Applicationshttps://www.frontiersin.org/research-topics/21133/advances-in-transfer-learning-theory-algorithms-and-applications
A semi-supervised domain adaptation libraryhttps://domainadaptation.org
https://github.com/Jason-cs18/transferlearning#contributing-欢迎参与贡献
HEREhttps://github.com/jindongwang/transferlearning/blob/master/CONTRIBUTING.md
https://github.com/Jason-cs18/transferlearning#copyright-notice
transferlearning.xyz/http://transferlearning.xyz/
Readme https://github.com/Jason-cs18/transferlearning#readme-ov-file
MIT license https://github.com/Jason-cs18/transferlearning#MIT-1-ov-file
Contributing https://github.com/Jason-cs18/transferlearning#contributing-ov-file
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