Prototype Learning

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Overview

Prototype learning studies how representative examples, feature centers, or structured sets of prototypes can organize data and guide predictions. Common approaches include metric-based few-shot networks, clustering and contrastive learning, memory banks, and hierarchical or probabilistic prototypes; prototypes also help adapt pretrained models across domains and modalities. The methods are used in settings such as image and point-cloud recognition, medical segmentation, anomaly detection, and federated or continual learning, often when labels are scarce or explanations matter. A central challenge is making prototypes diverse, stable, and faithful to model decisions while handling uncertainty, class imbalance, and shifts between training and test data.

Latest papers

CardsList

81 papers7 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. PT3^3: Prototype-Guided Self-Supervised Pretraining for Generalizable mmWave Human Point Cloud Representation

    Oct 28, 2026Ziyang Liu, Kieren Yu, Xiao Yang +2Self-Supervised Point Cloud LearningmmWave Radar Sensing

    The Hong Kong University of Science and Technology (Guangzhou)

  2. HeteGCD: Statistics-Aware Dual-Prototype Learning for Generalized Category Discovery on Heterophilous Graphs

    Oct 27, 2026Xuanzhi Xi, Tongze Zhang, Zhili Qin +5Generalized Category DiscoveryGraph Neural Networks

    University of Electronic Science and Technology of China, China

  3. Beyond Shortcut Learning: Hierarchical Spatial Prototype Regularization for Face Forgery Detection

    Oct 21, 2026Chao Shuai, Shaojing Fan, Kun Pan +5Deepfake DetectionShortcut Learning

    State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China · National University of Singapore, Singapore · South China University of Technology, Guangzhou, China

  4. Gated Prototype Transfer for Zero-Support Medical Vision Language Model

    Oct 20, 2026Sumaiya Fazal, Rizwan Qureshi, Laleh Behjat +1VLM AdaptationMedical VLMs

    FAST-NUCES · Massachusetts General Hospital, Harvard University · University of Calgary +1

  5. ProtoEEG: Structured Prototype Alignment for EEG Visual Decoding

    Oct 20, 2026Kieren Yu, Chang Huang, Ziyang Liu +1EEG-Based Visual DecodingCross-Modal Alignment

  6. M2NetM^2Net: Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting

    Oct 17, 2026Chengyang Zhou, Zijian Zhang, Hao Miao +5Spatiotemporal ForecastingMultiscale Time-Series Modeling

    College of Computer Science and Technology, Jilin University, Changchun, China · Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China +2

  7. MOSAIC: Multi-Scale Object-Centric Slot Adaptation with Image-Guided Prototype Conditioning for Remote Sensing Image Super-Resolution

    Oct 9, 2026Liuqian Wang, Hanyu Xie, Rongzhen Zhao +6Remote Sensing Image Super-ResolutionObject-Centric Representation Learning

    Zhengzhou University, Henan, China · Aalto University, Finland · Beijing University of Technology, Beijing, China +1

  8. RADC: Risk-Aware Dual Caching for Vision-Language Test-Time Adaptation

    Oct 3, 2026Siyu Huang, Yueyong Chen, Xuejiao Li +1Test-Time Adaptation of VLMsTest-Time Adaptation

    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Pengcheng Laboratory, Shenzhen, China · School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China

  9. 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

  10. FlowAtom: Atom-Based Evidence Aggregation for Multi-Label Website Fingerprinting

    Sep 24, 2026Chongru Fan, Wentao Huang, Wei Wang +4Multi-Label ClassificationPrototype Learning

    School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China · Zhongguancun Laboratory, Beijing, China

  11. Diverse by Design: Architectural Constraints for Prototype-Based Interpretability

    Sep 23, 2026Xinmiao Lin, Matthew WrightPrototype-Based ClassificationPrototype Learning

    Rochester Institute of Technology

  12. ProtoLIP: From Sentence-Level to Object-Level Evidence Disentanglement

    Sep 14, 2026Yan Zhu, Yongbo Chen, Zhengming Ding +1Vision-Language ModelsPrototype Learning

    Department of Computer Science Tulane University New Orleans, LA, USA

  13. Skeletal Prototypes on Iterative Nerve Expansions

    Sep 14, 2026Jordan Eckert, Henry SchenckPrototype-Based ClassificationPrototype Learning

    Department of Mathematics and Statistics Auburn University Alabama, USA

  14. Data-Efficient Agentic Graph Domain Adaptation via Reliability-Aware Prototype Learning

    Sep 12, 2026Yingxu Wang, Kunyu Zhang, Siyang GaoGraph Domain AdaptationDomain Adaptation

    Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · Zhengzhou University, Zhengzhou, China · City University of Hong Kong, Hong Kong SAR, China

  15. Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation

    Sep 5, 2026Shutong Zheng, Sijia ChenShrinkage EstimationFederated Graph Learning

    Sun Yat-sen University · The Hong Kong University of Science and Technology (Guangzhou)

  16. ProtoRAG: Prototype-Based Retrieval Augmentation for Few-Shot Fine-Grained Remote Sensing Object Detection

    Sep 5, 2026Jian Wang, Yuxiang Hong, Chufeng Zhou +2Few-Shot Object DetectionMemory-Augmented VLMs

    Wuhan University, Wuhan, China · East China Normal University, Shanghai, China

  17. Beyond L2L_2: Generalizing Abductive Latent Explanations to Diverse Prototype-Based Architectures

    Aug 17, 2026Jules Soria, Alban Grastien, Romain Xu-Darme +3Explainable Artificial IntelligenceNeural Network Interpretability

    Université Paris-Saclay, CEA, List, F-91120, Palaiseau, France

  18. Structuring Semantic Embeddings for Principle Evaluation: A Prototype-Guided Contrastive Learning Approach

    Aug 15, 2026Che Shen, Junwei Su, Lingpeng Kong +1Text Embedding ModelsPrototype Learning

    Department of Computer Science The University of Hong Kong, Hong Kong, China · School of Artificial Intelligence and Data Science University of Science and Technology of China, Hefei, Anhui, China

  19. EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding

    Aug 13, 2026Shuailei Zhang, Muyun Jiang, Wei Zhang +5Cross-Subject EEG DecodingZero-Shot Learning

    College of Computing and Data Science, Nanyang Technological University, Singapore · Southeast University, China · Centre for AI in Medicine, Nanyang Technological University, Singapore

  20. ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes

    Aug 11, 2026Ziyan Wang, Liwen Wu, Cheng Xie +3Prototype LearningText-Attributed Graph Learning

    School of Software and AI, Yunnan University, Kunming, China

  21. MD-ProTector: Positioning Multiple Data-Driven Prototypes for LLM-Generated Text Detection

    Aug 11, 2026Jinmo Han, Jimin Hong, Chanyeong Moon +3AI-Generated Text DetectionPrototype Learning

    Department of Electrical and Computer Engineering and INMC Seoul National University, Seoul, Republic of Korea

  22. Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction

    Aug 10, 2026Jingxian Xu, Yuhao Huang, Rusi Chen +2Prototype LearningMedical Image Localization

    Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, China · Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong, China · Boston Children’s Hospital, Harvard Medical School, Boston, USA +3

  23. Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding

    Aug 4, 2026Mohnish Raj, Suraj Kumar, Soumi Chattopadhayay +2Prototype LearningMultimodal Fusion

    Mohnish Raj, Suraj Kumar, Graduate Student Member, IEEE, Soumi Chattopadhayay, Senior Member, IEEE, Chandranath Adak, Senior Member, IEEE, Ayan Dutta

  24. PaletteID: Prototype-Composed Semantic Identifiers for Multimodal CTR Prediction

    Jul 31, 2026Huanyu Liu, Baining Chen, Hui Liu +2Semantic ID RecommendationPrototype Learning

    Huazhong University of Science and Technology Wuhan, Hubei, China · Central China Normal University Wuhan, Hubei, China

  25. Prototype Adaptation for Zero-Shot sEMG Movement Classification

    Jul 28, 2026Rui Liu, Benjamin PaassenEMG-Based Gesture RecognitionZero-Shot Learning

    Faculty of Technology, Bielefeld University

  26. Dataset Distillation Based on Saliency-Driven Prototype Alignment

    Jul 28, 2026Yawen Zou, Wenqi Cai, Guang Li +3Diffusion-Based Dataset DistillationPrototype Learning

    University of Toyama · Hokkaido University · University of Fukui

  27. PRiSM: Prototype Regularization for Few-Shot VLMs

    Jul 20, 2026Ghassen Baklouti, Omprakash Chakraborty, Jose Dolz +1VLM AdaptationPrototype Learning

    ÉTS Montreal

  28. M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection

    Jul 15, 2026Seyoung Jeong, Jong Pil Yun, Sang Jun LeePrototype LearningIndustrial Anomaly Detection

    Jeonbuk National University, Jeonju, Republic of Korea · Manufacturing AI Research Center, Korea Institute of Industrial Technology (KITECH), Incheon, Republic of Korea

  29. TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification

    Jul 11, 2026Ramesh Naidu Laveti, Jaya Sreevalsan-Nair, T K SrikanthPrototype LearningHistopathology Image Classification

    E-Health Research Center, International Institute of Information Technology Bangalore, Karnataka 560100, India.

  30. VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation

    Jul 8, 2026Zimu Zhang, Yiheng Zhong, Zhuoru Zhang +4Prototype LearningSemi-Supervised Medical Image Segmentation

    2Xi’an Jiaotong-Liverpool University, China · 1Yale University, United States