Few-Shot Domain Adaptation

Ask about this topic

Overview

Few-shot domain adaptation studies how to transfer a model to settings where the target data differ from its training data and labels are scarce, such as new hospitals, sensors, users, or environments. Common approaches fine-tune all or part of a pretrained model, use lightweight adapters or prompts, align features with prototypes, or augment sparse examples with pseudo-labels and synthetic data. Researchers evaluate these methods on tasks including image classification, object detection, segmentation, speech, and sensor recognition, increasingly using foundation models and source-free settings where original training data are unavailable. A central tension is gaining target-domain accuracy without overfitting to a few examples or erasing useful pretrained capabilities; results also depend strongly on the type and severity of the domain shift.

Latest papers

CardsList

53 papers9 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

  1. GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection

    May 28, 2026Jiacong Liu, Shu Luo, Yikai Qin +3Synthetic Data AugmentationFew-Shot Domain Adaptation

    Huazhong University of Science and Technology

  2. FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations

    May 26, 2026Haolong Zheng, Siyin Wang, Xulin Fan +2RL for Language ModelsFew-Shot Domain Adaptation

    University of Illinois Urbana Champaign · Tsinghua University

  3. Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning

    May 25, 2026Shuai Yi, Yixiong Zou, Yuhua Li +1Source-Free Cross-Domain Few-Shot LearningSource-Free Domain Adaptation

    Huazhong University of Science and Technology

  4. Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning

    May 12, 2026Yaze Zhao, Yicong Liu, Yixiong Zou +2Source-Free Cross-Domain Few-Shot LearningSource-Free Domain Adaptation

  5. The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

    Apr 13, 2026Xingyu Qiu, Yuqian Fu, Jiawei Geng +71Few-Shot Object DetectionObject Detection

  6. Adaptor: Advancing Assistive Teleoperation with Few-Shot Learning and Cross-Operator Generalization

    Apr 10, 2026Yu Liu, Yihang Yin, Tianlv Huang +8Robot TeleoperationRobot Learning

    School of Artificial Intelligence, Jilin University. · IO-AI TECH.

  7. CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning

    Mar 29, 2026Xuanze Chen, Jiajun Zhou, Yadong Li +2Graph Representation LearningGraph Foundation Models

    Xuanze Chen and Yadong Li are with the Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, China, and also with the Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, 310056, China · Jiajun Zhou, Shanqing Yu and Qi Xuan are with the Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, China, with the Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, 310056, China, and with the Soovar Technologies Co., Ltd., Hangzhou 310056, China

  8. Few-Shot Generative Model Adaption via Identity Injection and Preservation

    Mar 24, 2026Yeqi He, Liang Li, Jiehua Zhang +4Few-Shot Domain AdaptationFew-Shot Learning

    School of Cyberspace Security, Hangzhou Dianzi University, Hangzhou, China · Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · School of Software Engineering, Xi’an Jiaotong University, Xi’an, China +3

  9. Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection

    Mar 19, 2026Yongwei Jiang, Yixiong Zou, Yuhua Li +1Few-Shot Object DetectionObject Detection

    School of Computer Science and Technology, Huazhong University of Science and Technology

  10. Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment

    Mar 18, 2026Yaze Zhao, Yixiong Zou, Yuhua Li +1Cycle ConsistencySource-Free Cross-Domain Few-Shot Learning

    School of Computer Science and Technology, Huazhong University of Science and Technology

  11. Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift

    Mar 17, 2026Camille Jimenez Cortes, Philippe Lalanda, German VegaCancer Drug Response PredictionCross-Domain Transfer Learning

    Université Grenoble Alpes (UGA), France

  12. Modality-free Graph In-context Alignment

    Mar 13, 2026Wei Zhuo, Siqiang LuoGraph Foundation ModelsIn-Context Learning

    Nanyang Technological University

  13. ReHARK: Refined Hybrid Adaptive RBF Kernels for Robust One-Shot Vision-Language Adaptation

    Mar 12, 2026Md Jahidul IslamVLM AdaptationTest-Time Adaptation of VLMs

    Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

  14. Few-Shot Adaptation to Non-Stationary Environments via Latent Trend Embedding for Robotics

    Mar 11, 2026Yasuyuki Fujii, Emika Kameda, Hiroki Fukada +3Robot Policy AdaptationFew-Shot Domain Adaptation

    College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan · College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan. · Production and Technology Department, NIPPN CORPORATION, Tokyo, Japan +5

  15. BiCLIP: Domain Canonicalization via Structured Geometric Transformation

    Mar 9, 2026Pranav Mantini, Shishir K. ShahVLM AdaptationDomain Adaptation

    University of Houston, Department of Computer Science · The University of Oklahoma, School of Computer Science

  16. Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning

    Mar 7, 2026Zhenyu Zhang, Yixiong Zou, Yuhua Li +2Source-Free Cross-Domain Few-Shot LearningFew-Shot Learning

    School of Computer Science and Technology, Huazhong University of Science and Technology · National Key Laboratory for Multimedia Information Processing, Peking University

  17. Self-Auditing Parameter-Efficient Fine-Tuning for Few-Shot 3D Medical Image Segmentation

    Mar 6, 2026Son Thai Ly, Hien V. NguyenParameter-Efficient Fine-TuningFew-Shot Medical Image Segmentation

    University of Houston

  18. Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning

    Mar 5, 2026Zhenyu Zhang, Guangyao Chen, Yixiong Zou +2Source-Free Cross-Domain Few-Shot LearningFew-Shot Learning

    School of Computer Science and Technology, Huazhong University of Science and Technology · National Key Laboratory for Multimedia Information Processing, Peking University

  19. CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation

    Feb 23, 2026Mainak Singha, Sarthak Mehrotra, Paolo Casari +3Unsupervised Domain AdaptationFew-Shot Domain Adaptation

    University of Trento, Italy · MDSR Labs Adobe, India · IIT Bombay, India +1

  20. SCOPE: Structured Prototype-Guided Adaptation for EEG Foundation Models with Limited Labels

    Feb 19, 2026Jingying Ma, Feng Wu, Yucheng Xing +5EEG Foundation ModelsFew-Shot Domain Adaptation

    Saw Swee Hock School of Public Health, National University of Singapore, Singapore · Guangzhou Research Translation and Innovation Institute, National University of Singapore, Guangzhou, China · College of Computing and Data Science, Nanyang Technological University, Singapore +3

  21. Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains

    Jul 1, 2025Xin Xu, Eibe Frank, Geoffrey HolmesFew-Shot Domain AdaptationFew-Shot Image Classification

    Department of Computer Science University of Waikato Hamilton, New Zealand

  22. Align, Then Adapt: Few-Shot fMRI Visual Reconstruction For New Subjects

    May 3, 2025Christos Zangos, Danish Ebadulla, Thomas Christopher Sprague +1fMRI-Based Visual DecodingfMRI Representation Learning

    Department of Computer Science, University of California, Santa Barbara, USA · Department of Psychological and Brain Sciences, University of California, Santa Barbara, USA

  23. AdaptiveCDM: Source-Free Few-Shot Domain Adaptation for Cell Detection in Microscopic Images

    Mar 5, 2025Nimra Dilawar, Sara Nadeem, Javed Iqbal +2Source-Free Domain AdaptationFew-Shot Domain Adaptation

    Intelligent Machines Lab, Department of Artificial Intelligence, Information Technology University, Pakistan