Multi-Source Domain Adaptation

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Overview

Multi-source domain adaptation studies how to use data or models from several source domains when the target domain has a different distribution and few or no labels. Common approaches select or weight relevant sources, align features or class-conditional distributions, combine specialist models, or use shared representations and generative transformations. These methods support tasks such as medical-image segmentation, autonomous-driving perception, forecasting, and cross-site brain analysis, where data from multiple institutions or settings can improve target performance. A central challenge is avoiding negative transfer: heterogeneous sources may conflict, and stronger domain invariance or broader training does not always preserve task-relevant information or guarantee robustness on unseen targets.

Latest papers

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31 papers3 papers in the last four weeks, down 40% on the four weeks before. 0.0% of all new papers.

  1. Enhancing Zero-Shot Domain Transfer in Low-Resource Sentiment Analysis: A Case Study in Marathi

    Oct 11, 2026Tanvi Somani, Aryan Babare, Samyak Bora +1Sentiment AnalysisLow-Resource Language Processing

    Pune Institute of Computer Technology (PICT), Pune, Maharashtra, India · L3Cube Labs, Pune · Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

  2. WeatherBridge: Forecast-Aware Multi-Source Input Adaptation for Pretrained Weather Forecasting Models

    Oct 10, 2026Mutian Xi, Xinyu Su, Xiaohui Zhong +1Weather ForecastingMulti-Source Domain Adaptation

    Artificial Intelligence Innovation and Incubation Institute, Fudan University · Shanghai Academy of AI for Science · FuXi Intelligent Computing Technology Co., Ltd.

  3. Weather-Aware Domain Adaptation for Street-View Weather Recognition

    Oct 1, 2026Hossein Maghsoumi, George Atia, Yaser P. FallahMulti-Source Domain AdaptationAutonomous Driving Benchmarks

    Department of Electrical and Computer Engineering University of Central Florida, Orlando, USA · Department of Computer Science University of Central Florida, Orlando, USA

  4. A Multi-Dataset Benchmark of YOLO-Based Weed Detection in Precision Agriculture

    Sep 27, 2026Hristina Zdraveska, Vlatko Spasev, Ivica Dimitrovski +2Multi-Source Domain AdaptationWeed Detection

    Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, Rudzer Boshkovikj 16, P.O. 393, Skopje, 1000, North Macedonia

  5. Domain-Adapted Diffusion Models for Conditional Independence Testing

    Sep 27, 2026Yanfeng Yang, Junda Zhao, Yijie Gao +8Multi-Source Domain AdaptationDomain Adaptation

    The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan · The Institute of Statistical Mathematics, Tokyo, Japan · East China Normal University, Shanghai, China +4

  6. FreqCondNorm: Towards Cross-domain Predictive Maintenance through a Frequency-Conditioned Transformer Foundation Model

    Sep 17, 2026Zaynab Raounak, Camille LHermine, Zhiguo ZengMulti-Source Domain AdaptationSelf-Supervised Time Series Representation Learning

    Laboratoire Génie Industriel, CentraleSupélec, Université Paris-Saclay, France

  7. Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining

    Sep 7, 2026Yongan Yu, Shantam Raj, Jingwei Ni +3Multi-Source Domain AdaptationDomain-Adaptive Pretraining

    McGill University · Mila – Quebec Artificial Intelligence Institute · University of Zürich +2

  8. Generative multi-domain transfer learning for fault detection in data-scarce wind turbines

    Aug 31, 2026Stefan Jonas, Angela MeyerMulti-Source Domain AdaptationUnsupervised Anomaly Detection

    School of Engineering and Computer Science, Bern University of Applied Sciences, Biel, Switzerland · Faculty of Informatics, Università della Svizzera italiana, Lugano, Switzerland · Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands

  9. Transfer Learning for Avian Bioacoustics under Sparse Positive Labels

    Aug 4, 2026Dhyey Patel, Yunting YinMulti-Source Domain AdaptationWeakly Supervised Learning

    Eastern Michigan University Computer Science Department Ypsilanti, MI, USA

  10. HarMoE: Multi-Source Chest Radiograph Pretraining with Dataset-Disentangled Experts

    Aug 3, 2026Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu +1Multi-Source Domain AdaptationChest X-Ray Classification

    ARTORG Center for Biomedical Engineering Research, University of Bern · Kaiko.AI, Zurich, Switzerland · Shanghai Jiao Tong University, Shanghai, China

  11. Multi-Source Multi-View Graph Domain Adaptation with Hyperbolic Residual Encoding for Cross-Site MDD Identification from rs-fMRI

    Jul 31, 2026Zhanpeng Zheng, Xiran Chen, Haiteng Jiang +6Multi-Source Domain AdaptationDomain Adaptation

    School of Computer and Artificial Intelligence, Shandong Jianzhu University, Shandong, China. · School of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, China. · Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. +4

  12. The Cross-Domain Generalization Cost of Offensive Language Detection

    Jul 26, 2026Ruixing Ren, Junhui Zhao, Xiaoke Sun +1Multi-Source Domain AdaptationHate Speech Detection

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), Beijing 100029, China

  13. Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities

    Jul 18, 2026Ranat Das Prangon, Istiaque Ahmed, Shajid Hasan Naim +2Multi-Source Domain AdaptationMedical Imaging

    Dept. of Chemical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. · Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan. · Dept. of Mechanical Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh. +2

  14. Uncertainty-Aware Multi-Source Retinal Fluid Segmentation in OCT

    Jul 9, 2026Animesh KumarDomain AdaptationMedical Imaging

    Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom

  15. Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing

    Jun 1, 2026Jiahe Fan, Shaolong Shu, Mingjian Sun +4Multi-Source Domain AdaptationSource-Free Domain Adaptation

    College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China · Department of Control Science and Engineering, the Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China · School of Computer Science and Technology, Tongji University, Shanghai, 201804, China +2

  16. Language-Induced Priors for Domain Adaptation

    May 14, 2026Qiyuan Chen, Jiayu Zhou, Raed Al KontarMulti-Source Domain AdaptationDomain Adaptation

    Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI 48109 · School of Information, University of Michigan, Ann Arbor, MI 48109

  17. Multi-Modal Guided Multi-Source Domain Adaptation for Object Detection

    May 13, 2026Sangin Lee, Seokjun Kwon, Jeongmin Shin +2Multi-Source Domain AdaptationDomain Adaptation

    Sejong University, Seoul, Republic of Korea · NAVER LABS, Seongnam, Republic of Korea · Artificial Intelligence and Robotics Institute (AIRI), Seoul, Republic of Korea

  18. MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous Driving

    May 11, 2026Xiaohu Lu, Hamed Khatounabadi, Hayder RadhaMulti-Source Domain AdaptationUnsupervised Domain Adaptation

    Electrical and Computer Engineering Michigan State University East Lansing, USA

  19. DeFed-GMM-DaDiL: A Decentralized Federated Framework for Domain Adaptation

    May 5, 2026Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngole MboulaMulti-Source Domain AdaptationDomain Adaptation

    Universit´e Paris-Saclay, CEA, List, F-91120 Palaiseau, France · Sigma Nova

  20. AIDA-ReID: Adaptive Intermediate Domain Adaptation for Generalizable and Source-Free Person Re-Identification

    Apr 30, 2026Sundas Iqbal, Qing Tian, Danish Ali +2Multi-Source Domain AdaptationSource-Free Domain Adaptation

    School of Software, Nanjing University of Information Science and Technology, Nanjing 210044, China · Wuxi Institute of Technology, Nanjing University of Information Science and Technology, Wuxi 214000, China · School of Computer Science, Wuhan University, Wuhan 430070, China +2

  21. A General Representation-Based Approach to Multi-Source Domain Adaptation

    Apr 26, 2026Ignavier Ng, Yan Li, Zijian Li +3Multi-Source Domain AdaptationUnsupervised Domain Adaptation

    Carnegie Mellon University · Mohamed bin Zayed University of Artificial Intelligence

  22. Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls

    Apr 22, 2026Ana Sanchez-Fernandez, Thomas Pinetz, Werner Zellinger +1Multi-Source Domain AdaptationBatch Effect Correction

    ELLIS Unit Linz, LIT AI Lab and Institute for Machine Learning, JKU Linz, Austria · Institute of Artificial Intelligence, Center for Medical Data Science, Medical University Vienna · Clinical Research Center for Medical AI, JKU Linz, Austria

  23. Can LoRA Fusion Support Cross-Domain Tasks in Cloud-Edge Collaboration?

    Apr 9, 2026Yatong Wang, Fali Wang, Naibin Gu +6Model MergingDomain Adaptation for LLMs

    Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China · The Pennsylvania State University, University Park, USA +1

  24. SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective

    Apr 8, 2026Yuyao Wang, Min Yang, Meng Chen +3Transfer LearningMulti-Source Domain Adaptation

    Department of Mathematics and Statistics, Boston University, Boston, MA, USA · School of Software, Shandong University, Jinan, China · School of Geography, University of Leeds, Leeds, UK

  25. Thermal-GEMs: Generalized Models for Building Thermal Dynamics

    Apr 7, 2026Felix Koch, Fabian Raisch, Benjamin TischlerTime Series ForecastingMulti-Source Domain Adaptation

    Technical University of Applied Sciences Rosenheim, Rosenheim, Germany · Technical University of Munich, Munich, Germany

  26. Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions

    Apr 1, 2026Yuchen Yang, Shuangyang Zhong, Haijun Yu +4Medical Image SegmentationBrain Tumor Segmentation

    Institute of Medical Technology, Peking University Health Science Center, Beijing, China · Beijing Key Laboratory of Intelligent Neuromodulation and Brain Disorder Treatment, Beijing, China · Department of Radiation Oncology, University Hospital Erlangen, Erlangen, Germany

  27. Adapting Time Series Foundation Models through Data Mixtures

    Mar 3, 2026Thomas L. Lee, Edoardo M. Ponti, Amos StorkeyTime-Series Foundation ModelsZero-Shot Time Series Forecasting

    School of Informatics, University of Edinburgh.

  28. Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models

    Feb 28, 2026Li Sun, Zhenhao Huang, Silei Chen +4Graph Foundation ModelsMulti-Source Domain Adaptation

    Beijing University of Posts and Telecommunications, Beijing 100876, China · North China Electric Power University, Beijing 102206, China · University of Illinois Chicago, IL, USA

  29. pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation

    Feb 26, 2026Shentong Mo, Xufang Luo, Dongsheng LiVisual Prompt LearningVision Foundation Model Adaptation

    Carnegie Mellon University · Microsoft Research

  30. Generative Data Transformation: From Mixed to Unified Data

    Feb 26, 2026Jiaqing Zhang, Mingjia Yin, Hao Wang +6Cross-Domain RecommendationData Augmentation

    University of Science and Technology of China, Hefei, China · Beijing University of Posts and Telecommunications, Beijing, China · Huawei Noah’s Ark Lab, Shenzhen, China