Few-Shot Learning

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33 papers in the last four weeks, up 94% on the four weeks before. 0.2% of all new papers.

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  1. 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

  2. DVLA-RL++: Dual-Level Vision-Language Alignment with Reinforcement Learning Gating for Few-Shot Learning

    Oct 8, 2026Wenhao Li, Xianjing Meng, Qiangchang Wang +3Few-Shot LearningFew-Shot Image Classification

    School of Software, Shandong University, Jinan 250101, China · Shenzhen Loop Area Institute, Shenzhen 518038, China · School of Computer and Artificial Intelligence, Shandong University of Finance and Economics, Jinan 250014, China +1

  3. Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?

    Oct 8, 2026Unggi Lee, Haeun ParkKnowledge TracingLLM Inference

    Korea University Sejong Campus · Korea University

  4. Few-Shot Learning for Personalised Automated Pain Assessment

    Oct 7, 2026Heinke Hihn, Ibrahim Eisawy, Patrick Thiam +2Few-Shot LearningClassification

    IU International University of Applied Sciences, Berlin, Germany · Institute of Neural Information Processing, Ulm University, Ulm, Germany · Institute of Medical Systems Biology, Ulm University, Ulm, Germany

  5. MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular Automata

    Oct 6, 2026Etienne Guichard, Stefano NicheleNeural Cellular AutomataMeta-Learning

    Department of Computer Science and Communication hiof.no

  6. Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6

    Oct 5, 2026Guilherme Silva, Pedro Silva, Gladston Moreira +1Prototype-Based LearningOn-Device Training

    Computing Department, Universidade Federal de São João del-Rei – São João del-Rei, Brazil · Computing Department, Federal University of Ouro Preto – Ouro Preto, Brazil

  7. Few-Shot Bioactivity Prediction with Meta-Learning under Assay Heterogeneity

    Oct 5, 2026Michal Kmicikiewicz, Tommy Rochussen, Vincent Fortuin +1Meta-LearningFew-Shot Learning

    Institute of AI for Health, Helmholtz Munich · School of Computation, Information and Technology, Technical University of Munich · Munich Center for Machine Learning +4

  8. RepICL: Reusable In-Context Prediction Across Heterogeneous Representation Spaces

    Oct 5, 2026Yu-Hsiang Liu, Kuan-Yu Chen, Chih-Sheng Chen +3Meta-LearningFew-Shot Learning

    SinoPac Holdings, Taipei, Taiwan

  9. MAGIC: Topology-Aware Analytic Graph Few-Shot Class-Incremental Learning

    Oct 4, 2026Junlin Chen, Yuhan Wang, Xuefei Wang +3Class-Incremental LearningContinual Learning

    Beihang University, Beijing, China

  10. On-the-fly Weight Generation: A Hypernetwork Proof of Concept on ARC-1D

    Sep 30, 2026Fabio J. Fehr, Philip TorrFew-Shot LearningHypernetworks

    University of Oxford

  11. Prototype-Rule Neurosymbolic Regularization for Rank-Constrained Tensor Neural Networks under Label Scarcity

    Sep 30, 2026Eftychios Protopapadakis, Konstantinos Makantasis, Konstantinos M. GiannoutakisTensor NetworksPrototype Learning

    Department of Applied Informatics, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, Greece · Department of Artificial Intelligence, Faculty of Information & Communication Technology, University of Malta, Msida, Malta

  12. A First Glance at Jev for Network Traffic Classification: Accuracy, Processing Time, and Cost

    Sep 30, 2026Shenghe Xu, Lifan MeiCybersecurityFew-Shot Learning

    Amazon.com, Inc. · Xi’an Jiaotong-Liverpool University

  13. Association profile conditioning in a set-temporal transformer for cross-session intracortical motor decoding

    Sep 30, 2026Xinyuan Zhang, Handong Mo, Pengfei Wen +5TransformerNeural Decoding

    The University of Hong Kong, Hong Kong SAR, China · Southern University of Science and Technology, Shenzhen, China

  14. 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

  15. Prompt-Anchored Residual Adaptation for Biomedical Vision-Language Models

    Sep 27, 2026Jingxuan Kang, Qianying Yue, Che Liu +1VLM AdaptationFew-Shot Learning

    Imperial College London · The Chinese University of Hong Kong

  16. CalibHyper: Chance-Corrected Relational Hypergraphs for Few-Shot Molecular Property Prediction

    Sep 27, 2026Linyu Li, Zhi Jin, Yuanpeng He +7Multi-Label ClassificationFew-Shot Learning

    School of Computer Science, Peking University · Key Laboratory of High Confidence Software Technologies, Peking University, Ministry of Education · School of Computer Science, Wuhan University +1

  17. ABO-Med: Accelerated Bilevel Optimization for Few-Shot Medical Image Classification

    Sep 27, 2026Ruoxuan Shi, Sheng Yang, Zhengxing Su +2Few-Shot LearningMeta-Learning

    School of Mathematics and Statistics, Lanzhou University · Department of Statistics, University of California, Riverside · Department of Oncology, Lanzhou University Second Hospital

  18. Awaken, Then Scale: Tiny Adaptation for MRI Reconstruction

    Sep 25, 2026Mohammed Wattad, Tamir Shor, Alexander M. BronsteinDomain AdaptationParameter-Efficient Fine-Tuning

    Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel

  19. Exploiting Spatial Structure for Transductive Few-Shot Classification of Whole-Slide Images

    Sep 25, 2026Tiffanie Godelaine, Manon Dausort, Karim El Khoury +3Histopathology Image ClassificationFew-Shot Image Classification

    ICTEAM, Universit´e Catholique de Louvain, Belgium

  20. Query-Conditioned Prototype Adaptation for Cross-Domain Few-Shot Learning: Single-Query Inference, Controlled Comparisons, and Failure Modes

    Sep 25, 2026Rushab Rasik Karania, Tomas MaulFew-Shot LearningFew-Shot Image Classification

    School of Computer Science, University of Nottingham Malaysia, Semenyih, 43500, Selangor, Malaysia

  21. ProCAP: Probabilistic Cross-Attentive Prompt Learning for Vision-Language Models

    Sep 24, 2026Hiwa Azeez Abbas, Fatemeh Daneshfar, Moloud AbdarVLM AdaptationVisual Prompt Learning

    University of Kurdistan, Sanandaj, Iran · Department of Computer Engineering, University of Kurdistan, Sanandaj, Iran · CHIRP, Child Health Research Centre, The University of Queensland, Brisbane, Australia

  22. Few-Shot Calibration for Sim-to-Real Single-Channel Speaker Distance Estimation

    Sep 24, 2026Michael Neri, Archontis Politis, Tuomas VirtanenSim-to-Real TransferSpeech Processing

    Faculty of Information Technology and Communication Sciences, Tampere University, Finland

  23. Complementary Roles of Activation and Parametric Memory in Few-Shot Learning

    Sep 23, 2026Miaohe Niu, Runsong Zhao, Xinyu Liu +5LLM MemoryFew-Shot Learning

    Northeastern University, Shenyang, China · NiuTrans Research, Shenyang, China

  24. FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology

    Sep 23, 2026Anh-Tien Nguyen, Trung DQ. Dang, Nghiem Tuong Diep +9Computational PathologyFew-Shot Learning

    Institute for Predictive Deep Learning for Medicine and Healthcare, Giessen University, Germany · Department of Medical Informatics, University Medicine Gottingen, Germany · Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark +8

  25. Isolated Sign Language Recognition for Icelandic Sign Language: Experiments in a Low-resource Setting

    Sep 22, 2026Finnur Ágúst Ingimundarson, Guðný Björk Þorvaldsdóttir, Mathias Müller +1Few-Shot LearningSign Language Recognition

    Department of Computational Linguistics, University of Zurich · Communication Centre for the Deaf and Hard of Hearing in Iceland

  26. A Lightweight Plastic-Memory Framework for Graph Few-Shot Class-Incremental Learning

    Sep 22, 2026Zihan Mei, Zhili Qin, Tongze Zhang +3Class-Incremental LearningFew-Shot Learning

    University of Electronic Science and Technology of China

  27. Assessing Readability with LLMs: The Role of Reasoning and Few-Shot Prompting

    Sep 21, 2026Raphaël Thieffry, Matej MartincCoT ReasoningFew-Shot Learning

    Université Paris-Saclay, Orsay, France · Jožef Stefan Institute, Ljubljana, Slovenia

  28. Few-Shot Demonstrations Elicit the Use of In-Context World Representations in LLMs

    Sep 21, 2026Kohsei Matsutani, Gouki Minegishi, Core Francisco Park +3LLM World ModelsIn-Context Learning

    The University of Tokyo · Harvard University · Prior Computers

  29. PAC-Bayesian Meta-Learning for Few-Shot Identification of Linear Dynamical Systems

    Sep 21, 2026Chenfeng Huang, George MichailidisPAC-Bayesian Generalization BoundsMeta-Learning

    Department of Statistics & Data Science University of California, Los Angeles

  30. Training-Free Spectral Transductive Refinement for Cross-Domain Few-Shot Classification

    Sep 20, 2026Fahim Rahman, S. M. Tanjeeb Meheran Rohan, Md. Taimum Ibne Sayed +2Few-Shot LearningSpectral Methods

    Department of Computer Science and Engineering Islamic University of Technology Gazipur, Bangladesh