Prototype-Based Classification

Overview

Prototype-based classification represents each class with one or more examples, centers, or learned patterns, then predicts by measuring similarity in a feature space. Methods range from nearest-centroid and episodic few-shot learning to learned part prototypes, contrastive alignment, and geometric or distributional models; many use pretrained encoders when labeled data are scarce. The approach is used for few-shot recognition, continual learning, medical and time-series classification, and open-set or out-of-distribution detection, with evaluations spanning settings such as ImageNet-LT, CIFAR, and UEA/UCR time-series benchmarks. A central challenge is that prototypes can become unrepresentative under class variation, imbalance, or domain shift, while improving their interpretability and reliability may trade off against accuracy or depend strongly on the similarity and rejection rules used.

Latest papers

CardsList

76 papers12 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

  1. Approximate Unlearning in Prototype-based-classifiers

    Oct 25, 2026Sreejita Ghosh, Mohammad MohammadiMachine UnlearningMachine Unlearning Evaluation

  2. Learning Discriminative Prototypes via Boundary Repulsion MixUp for Object Re-Identification

    Oct 25, 2026Athena Psalta, Vasileios Tsironis, Konstantinos KarantzalosPerson Re-IdentificationPrototype-Based Classification

  3. Engram Memory Network: Brain-Inspired Prototype Explanations

    Oct 20, 2026Hyunjun Kim, Myoung Hoon HaPrototype-Based ExplanationExplainable Image Classification

  4. Prototype-Guided Optimization of Quantum Data Embeddings with Linear Cost

    Oct 17, 2026Seokhoon Jeong, Daniel K. ParkQuantum Data EncodingQuantum Kernel Methods

  5. RSAJEV: Training-Free Abstaining Prototype Memory for Eliminating Silent Hallucination in JEV-Based Remote Sensing Classification

    Oct 11, 2026Man Chen, Antai Chen, Shuai Xu +5Remote Sensing Scene ClassificationVLM Hallucination Mitigation

  6. ProtoSemImage: Image-Valued Prototypes with Deformable Row Alignment for Interpretable Document Classification

    Oct 8, 2026Mohammad Zare, Pirooz ShamsinejadbabakiText ClassificationPrototype-Based Classification

  7. CAP: Codebook-Aligned Prediction for Tokenized Robot Policies

    Oct 6, 2026Haoran Chen, Jingtian Ji, Samuel Wheeler +2Robot Policy LearningRobot Learning

  8. ReMaD: Tuning-free Domain Adaptation for Classification and Out-of-Distribution Detection

    Oct 5, 2026Elijah Bolluyt, Cristina ComaniciuPrototype-Based ClassificationMahalanobis Distance

  9. Dynamic LoRA-Experts and Prototype-Ensemble Matching for Class-Incremental Learning

    Sep 30, 2026Hongwei Zhao, Rui Liu, Yansong LiuClass-Incremental LearningPrototype-Based Classification

  10. Hyperbolic Prototype Routing for Rehearsal-Free Class-Incremental Learning

    Sep 30, 2026HongWei Zhao, Rui Liu, Yong ChenClass-Incremental LearningPrototype-Based Classification

  11. ProtoSeam: Lifting Classifier Training with Latent Gaussian Mixture Models

    Sep 28, 2026Robert Lampel, Timon Klein, Sebastian SagerPrototype-Based ClassificationClassification

  12. Counting and Covering in Nearest-Neighbour Representations of Boolean Functions

    Sep 19, 2026Martin AnthonyVC DimensionPrototype-Based Classification

  13. Skeletal Prototypes on Iterative Nerve Expansions

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

  14. Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis

    Sep 10, 2026Mohammed Ayalew Belay, Amirshayan Haghipour, Pierluigi Salvo RossiPrototype-Based ClassificationFault Detection

  15. Soft Symbol Grounding for Prototypical Concepts

    Sep 10, 2026Marcos Galván-López, Nijesh Upreti, Hiram Calvo +2Prototype-Based ClassificationWeakly Supervised Learning

  16. What Do Scan-Derived Class Prototypes Add? Disentangling Supervision, Prototype Content and Query Protocol in Recognition over Frozen Foundation Features

    Sep 3, 2026Chenxi Tao, Hong-In Won, Seung-Kyum ChoiPrototype-Based ClassificationVision Foundation Models

  17. OPAL: Orthonormal Prototype Alignment Learning for Interpretable Image Classification

    Aug 30, 2026Ilán Carretero, Gustavo Jesús Angulo, Rocío del Amor +1Prototype-Based ClassificationFine-Grained Image Classification

  18. A Parameter-Free Few-Shot Evaluation for Elephant Vocalisation Classification

    Aug 14, 2026Christiaan M. Geldenhuys, Thomas R. NieslerFew-Shot Audio ClassificationPrototype-Based Classification

  19. Class Geometry as Supervision for Sample-Efficient Open-World Detection

    Aug 13, 2026Akash Rao, Zhou Chen, Revanth Reddy Palem +3Open-Vocabulary Object DetectionPrototype-Based Classification

  20. Exemplar-based objective classification of gust-induced loads across multiple flight conditions

    Aug 12, 2026Paolo Olivucci, Kowshik Srivatsan, David E. RivalPrototype-Based Classification

  21. Quantum Incremental Learning with Mixed State Prototypes

    Aug 11, 2026Yu Wu, Qianli Zhou, Xinyang Deng +3Class-Incremental LearningPrototype-Based Classification

  22. MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

    Aug 7, 2026Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso +7Prototype-Based ClassificationOn-Device Training

  23. Unleashing the Potential of Vision-Language Models for Generalizable AI-Generated Image Detection

    Aug 5, 2026Weihan Cai, Hao Tan, Zichang Tan +2Prototype-Based ClassificationVision-Language Models

  24. Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement

    Jul 29, 2026Tianyan Deng, Yanxiong Li, Rui Gao +1Few-Shot Audio ClassificationPrototype-Based Classification

  25. ProtoPointNet: Prototype-Based Interpretable Classification of 3D Dental Point Clouds with Verifiable Spatial Activations

    Jul 14, 2026George V. Jose, Thao Liang Chiam, Toby Hughes +4Prototype-Based ClassificationPoint Cloud Classification