Cross-Domain Transfer Learning

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Overview

Cross-domain transfer learning studies how a model trained in one setting can help in another, especially when target labels are scarce and data differ across hospitals, sensors, cities, or tasks. Common approaches include fine-tuning and parameter-efficient adapters, feature or distribution alignment, shared and domain-specific representations, and selective transfer using retrieval, prototypes, or expert routing. Work spans vision, medical prediction, graphs, language models, and reinforcement learning, with evaluations increasingly testing unseen domains, few-shot adaptation, calibration, and transfer in both directions. A central tension is that shared knowledge can improve accuracy and data efficiency but can also cause negative or asymmetric transfer, so in-domain results and simple measures of domain similarity do not reliably predict deployment performance.

Latest papers

CardsList

206 papers20 papers in the last four weeks, up 11% on the four weeks before. 0.1% of all new papers.

  1. Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs

    Oct 27, 2026Yaxuan Wu, Ali Mohammed Mansoor Alsahag, Seyed Sahand Mohammadi ZiabariTransfer LearningCross-Domain Transfer Learning

    Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands

  2. Evaluating AlphaEarth Embeddings for Crop Classification: Separability, Temporal Dynamics, and Cross-Regional Transferability

    Oct 27, 2026Priyanka Goyal, Maitreyee Sar, Adway Mitra +1Agricultural Image AnalysisAgricultural Remote Sensing

    Department of Artificial Intelligence, Indian Institute of Technology Kharagpur, West Bengal, India · Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, India · Tata Consultancy Services Research, Kolkata, India

  3. Cross-Domain Sequential Recommendation with Representation-Level User Transfer

    Oct 26, 2026Abdulaziz Samra, Nikita Sukhorukov, Alexey Grishanov +2Cross-Domain RecommendationSequential Recommendation

    Skolkovo Institute of Science and Technology, Moscow, Russian Federation · Higher School of Economics, Moscow, Russian Federation · AXXX, Moscow, Russian Federation +1

  4. TransECG-SSL: Hybrid Self-Supervised Representation Learning for ECG Arrhythmia Classification

    Oct 26, 2026Ahtisham Ayyub, Fasih Haider, Muhammad Rehan Usman +3Electrocardiogram Representation LearningElectrocardiogram Classification

    School of Computer Science and Mathematics, Kingston University, London, United Kingdom · Usher Institute, University of Edinburgh, Edinburgh, United Kingdom

  5. Reinforcing intra-operative tumour localisation with weak supervision from pre-operative appearances

    Oct 22, 2026Sidhart Sami, Ali Sharjeel, Sri Atluri +4Medical Image LocalizationCross-Domain Transfer Learning

    Centre for Bioengineering, School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom · National University of Computer and Emerging Sciences (FAST-NUCES), Karachi, Pakistan · Digital Environment Research Institute, Queen Mary University of London, London, United Kingdom +1

  6. Cross-Area Transfer Learning for VLC-based Indoor Localization with a Transfer Efficiency Score

    Oct 21, 2026Masood Jan, Wafa Njima, Xun Zhang +1Wireless LocalizationCross-Domain Transfer Learning

    Doctoral School of Computer Science, Telecommunications and Electronics (EDITE), Sorbonne University, 75006 Paris, France · LISITE Laboratory, Institut Supérieur d’Électronique de Paris, 75006 Paris, France · Université Paris-Saclay, LISV Laboratory, France +1

  7. Cross-disorder Learning of Imaging-derived Joint Mophometric Markers in Alzheimer's and Parkinson's Diseases

    Oct 19, 2026Yuji Zhao, Boris GutmanParkinson's Disease ClassificationMedical Diagnosis

    Laboratory for Modeling and Computation in Imaging and Genetics (LAMCIG), Medical Imaging Research Center, Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, United States of America

  8. Cross-Pollination Retrieval: Finding Transferable Ideas Across Fields in Scientific Literature

    Oct 19, 2026Seokwon Jung, Yerang Kim, Yejin Kim +5Information RetrievalScientific Document Retrieval

    KAIST · Tübingen AI Center, University of Tübingen · NAVER AI Lab

  9. GRAFT-EEG: Gauge-Aware Physical Field Transport for Cross-Dataset Motor-Imagery EEG

    Oct 16, 2026Ying Zhou, Mengting LiuCross-Session EEG DecodingEEG Decoding

    School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University

  10. Don't Retrain, Remix: Adaptation of Web Agents using Mixture Hypernetworks

    Oct 15, 2026Md Farhan Ishmam, Minh Pham Dinh, Kenneth MarinoWeb AgentsHypernetworks

    Kahlert School of Computing, University of Utah

  11. Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains

    Oct 13, 2026Muhammad Umar Farooq, Daniel R. CooperTransfer LearningCross-Domain Transfer Learning

    Mechanical Engineering Department, University of Michigan, 2350 Hayward Street, Ann Arbor, 48109, MI, United States

  12. Closing the Estimation Gap: Training-Free Transductive Inference for Cross-Domain Few-Shot Action Recognition

    Oct 13, 2026Changyi Li, Zeyu Yang, Yu XiaoFew-Shot LearningVideo Action Recognition

    Dept. of Information and Communications Engineering, Aalto University, 02150 Espoo, Finland

  13. Riemannian Graph Tokenizer for Structural Knowledge Transfer

    Oct 11, 2026Qimin Zhou, Haibo Liu, Yujie Wang +2Graph Representation LearningCross-Domain Transfer Learning

    Beijing University of Posts and Telecommunications, Beijing, China

  14. Cross-Material Magnetic Core Loss Prediction via Operating-Condition Matching and Partial Optimal Transport

    Oct 10, 2026Cong Yao, Yu Zheng, Zehao Hou +1Cross-Domain Transfer LearningMaterials Property Prediction

    Changsha University of Science and Technology, Changsha, China · School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China · University of Arkansas, Fayetteville, AR 72701, USA

  15. More Domains, No Gains? FLO: Fast-Slow Reciprocal Learning for Multi-Domain Graph Pre-training

    Oct 10, 2026Yupeng Tong, Lianze Shan, Jitao Zhao +2Graph Foundation ModelsCross-Domain Transfer Learning

    School of Computer Science and Technology, Tianjin University, Tianjin, China

  16. GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer

    Oct 8, 2026Adinath Madhavrao Dukre, Abdullah Mohammad, Yifan Lu +3Continuous Glucose MonitoringCross-Domain Transfer Learning

    Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · Vitalverse, Abu Dhabi, UAE · Google, USA

  17. Language Carries the Expert's Impression: Instrument-Anchored LLM Judges Transfer Counseling-Quality Assessment and Beat In-Domain Training

    Oct 6, 2026Tobias Hallmen, Elisabeth AndréMental Health CounselingCross-Domain Transfer Learning

    Chair for Human-Centered Artificial Intelligence University of Augsburg

  18. CETUS: How Far Do Representations Trained on Earth Transfer to Cassini SAR of Titan?

    Oct 6, 2026Kevin LeeRemote Sensing Image UnderstandingGeospatial Representation Learning

    University of California at Los Angeles, Los Angeles, CA · NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA

  19. Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer

    Oct 4, 2026Qingyang ZhangCross-Domain Transfer LearningLongitudinal EHR Modeling

    Information Networking Institute Carnegie Mellon University Pittsburgh, United States

  20. DIVINE: Simple Cross-Market Stock Pretraining via Diverse Indicator Reconstruction

    Oct 2, 2026Kuan-Yu Chen, Shu-Cheng Zheng, Yu-Chen Den +2Financial Time SeriesSelf-Supervised Pre-Training

    SinoPac Holdings, Taipei, Taiwan

  21. CORD: Learning Reusable Degradation Representations Across Heterogeneous Physical Systems

    Sep 30, 2026Haibo Li, Zhiguo ZengRepresentation LearningSelf-Supervised Time Series Representation Learning

    CentraleSupélec, Université Paris-Saclay

  22. Mathematical Transfer in LLMs Follows Reasoning Approach More Than Topic

    Sep 29, 2026Sajad Goudarzi, Samaneh Zamanifard, Seyed Amin Seyed Haeri +2Transfer LearningLLM Mathematical Reasoning

    Clemson University · Coastal Carolina University

  23. AssayRouter: Historical Utility Priors for Frozen Molecular Predictor Routing

    Sep 29, 2026Dong Xu, Zhangfan Yang, Jiantao Wu +5Adaptive Model RoutingTask Transferability Estimation

    School of Artificial Intelligence, Shenzhen University · EasternDawn · School of Computer Science, University of Nottingham Ningbo

  24. USA: Update-aware SAM for Cross-domain On-Policy Disitllation of Language Agents

    Sep 28, 2026Qiyong Zhong, Mao Zheng, Mingyang Song +6Cross-Domain Transfer LearningOn-Policy Distillation

    University of Science and Technology of China · Foundation Model Department, Tencent · Zhejiang University +1

  25. Sivia: Learning to Draw, Learning to Learn

    Sep 27, 2026Feng Yuan, Xinyi Gao, Zijun Sun +4Cross-Domain Transfer LearningAgent Skill Learning

    School of Biomedical Engineering (Suzhou), Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China · Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China · Shanghai Innovation Institute, Shanghai, China

  26. Transfer Learning for Edge Classification on Dynamic Text-Attributed Graphs

    Sep 26, 2026Tyler Bonnet, Marek ReiText-Attributed Graph LearningCross-Domain Transfer Learning

    Imperial College London London, United Kingdom

  27. SenseAgent: An LLM Agent for Adaptive Cross-Domain IMU Sensing

    Sep 25, 2026Tianya Zhao, Chuan Liu, Xuyu WangAdaptive SensingWearable Sensing

    Florida International University Miami, Florida, USA

  28. It's the Geometry, Not the Model: Effective Rank and Subspace Alignment in Functional Connectivity Classification

    Sep 24, 2026Xiao Fan, Jingyuan Li, Yubo Han +6Intrinsic DimensionalityFunctional Connectivity

  29. Cross-Country Code-Mixing for Generative Recommendation

    Sep 24, 2026Yuan Gao, Hao Deng, Haibo Xing +5Cross-Domain Transfer LearningGenerative Recommendation

    Alibaba International Digital Commerce Group Beijing, China · Alibaba International Digital Commerce Group Hangzhou, China

  30. From Regional to Global: Transfer Learning for Atmospheric Transport Emulators

    Sep 20, 2026Jeff Clark, Elena Fillola, Nawid Keshtmand +2Surrogate ModelingTask Transferability Estimation

    School of Engineering Mathematics and Technology, University of Bristol, UK · School of Chemistry, University of Bristol, UK