Here are some articles on transfer learning theory and survey.

DeepDG: a unified deep domain generalization toolbox.

DeepDA: a unified deep domain adaptation toolbox.

Talk is cheap, show me the code 动手教程、代码、数据

Tutorial on transfer learning by Qiang Yang: IJCAI'13 | 2016 version.

迁移学习中的领域自适应方法 Domain adaptation: PDF ｜ Video on Bilibili | Video on Youtube.

IJCAI-ECAI'22 tutorial on domain generalization - 领域泛化tutorial.

Definitions of transfer learning area - 迁移学习领域名词解释.

Introduction to Transfer Learning: Algorithms and Practice.

Want to quickly learn transfer learning？想尽快入门迁移学习？看下面的教程。

Morphology-mixup for domain generalization.

ICASSP'24 MMS: Morphology-Mixup Stylized Data Generation for Single Domain Generalization in Medical Image Segmentation

Multi-level augmentation for semi-supervised domain generalization.

ICASSP'24 Multi-Level Augmentation Consistency Learning and Sample Selection for Semi-Supervised Domain Generalization Using synthetic data for OOD generalization.ICASSP'24 Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data Domain augmentation for multi-source DG.ICASSP'24 SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization Style variation for domain generalization.ICASSP'24 Style Factorization: Explore Diverse Style Variation for Domain Generalization Single-source DG in fundus image segmentation.ICASSP'24 Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation ICASSP'24 G2G: Generalized Learning by Cross-Domain Knowledge Transfer for Federated Domain Generalization Smoothness-based minimization for OOD generalization.ICASSP'24 SBM: Smoothness-Based Minimization for Domain Generalization Inference-time drift actuator for OOD generalization.ICASSP'24 Learning Inference-Time Drift Sensor-Actuator for Domain Generalization Language-driven zero-shot domain adaptation 语言驱动的零样本 DA.Domain generalization using mamba 用Mamba结构进行DGĬVPR'24 Unified Language-driven Zero-shot Domain Adaptation.Explore the transferability of visual prompting for multimodal LLM 探索多模态大模型visual prompt tuning的可迁移性ĭGMamba: Domain Generalization via Generalized State Space Model.Domain adaptation for anomaly detection 使用域自适应进行时间序列异常检测ĬVPR'24 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models.

Test-time training on graphs with LLMs 使用大语言模型在图上进行测试时训练ĭACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series.Test-Time Training on Graphs with Large Language Models (LLMs) Domain adaptation for learned image compression DA用于图片压缩.Manifold-based domain adaptation for EEG-based emotion recognition 基于流形的DA用于EEG情绪识别ĭomain Adaptation for Learned Image Compression with Supervised Adapters.MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition Paperweekly: A website to recommend and read paper notes.Use to report an inappropriate profile, death, or other conditions that would require the deletion of the relevant profile.ĭata Privacy Policy:You can send a message to to have your information removed from here, and your data will be deleted within 5 business days at the latest.Awesome transfer learning papers (迁移学习文章汇总) Top % 3: Indicates that the scientist is among the Top 3% Scientists in the specified subject among the scientists in the AD Scientific Index in the World and/or Country. Subject field ranking in world, region, country and university is beta version since subject field 'others' (86.453 scientists profile whose branch cannot be determined, not yet edited or determined) is excluded, so the ranking will change as the others fields are edited.

Jing dong wang