Prototype Learning

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5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

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Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations
May 20, 2026Jacek Karolczak, Jerzy StefanowskiPrototype-Based Classification Prototype Learning
Institute of Computing Science Poznan University of Technology ul. Piotrowo 2, 60-965 Pozna´n, Poland
PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
May 19, 2026Gabriele Rosi, Fabio Cermelli, Carlo Masone +1VLM Adaptation Text-Guided Image Segmentation
Politecnico di Torino · Focoos AI
Weather-Robust Cross-View Geo-Localization via Prototype-Based Semantic Part Discovery
May 12, 2026Chi-Nguyen Tran, Dao Sy Duy Minh, Huynh Trung Kiet +3Cross-View Geo-Localization Visual Representation Learning
Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam. · Department of Computer Science, University of Warwick, Coventry, United Kingdom.
Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
May 11, 2026Feifan Song, Yuntian Bo, Haofeng ZhangCross-Modality Medical Image Segmentation Image Segmentation
School of Computer Science and Engineering, Nanjing University of Science and Technology
ProtoSSL: Self-Supervised Pretraining and Downstream Transfer for Projection-Based Prototype Models
May 7, 2026Steven Song, Sahil Sethi, Brett Beaulieu-Jones +1Self-Supervised Learning Self-Supervised Pre-Training
Department of Computer Science, University of Chicago, Chicago, IL 60637, USA · Center for Translational Data Science, University of Chicago, Chicago, IL 60637, USA · Medical Scientist Training Program, University of Chicago, Chicago, IL 60637, USA +3
Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection
May 4, 2026Fuyun Wang, Yuanzhi Wang, Xu Guo +6Flow Matching Prototype Learning
Nanjing University of Science and Technology, Nanjing, China · Beijing Normal University, Beijing, China · China Academy of Space Technology, Beijing, China +1
Hierarchical Prototype-based Domain Priors for Multiple Instance Learning in Multimodal Histopathology Analysis
Apr 27, 2026Xuemei Qiu, Dawei Fan, Yebin Huang +2Cross-Modal Alignment Prototype Learning
College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China · Fujian Agriculture and Forestry University, Fuzhou, 350002, China · Department of Pathology, Clinical Oncology School of Fujian Medical University, and Fujian Cancer Hospital, Fuzhou, 350014, China +2
Temporal Prototyping and Hierarchical Alignment for Unsupervised Video-based Visible-Infrared Person Re-Identification
Apr 23, 2026Zhiyong Li, Wei Jiang, Haojie Liu +3Prototype Learning Video Representation Learning
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China · School of Computer Science and Technology, Zhejiang University of Water Resources and Electric Power, Hangzhou, 310018, China
ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification
Apr 20, 2026Florian Kittler, Sheethal Bhat, Andreas MaierVLM Robustness Chest X-Ray Classification
Friedrich-Alexander University Erlangen-Nuremberg, Erlangen 91054, Germany
ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow
Apr 3, 2026Jiekai Wu, Rong Fu, Chuangqi Li +10Class-Incremental Learning Image Segmentation
Independent Researcher · The Institute of Collaborative Innovation, University of Macau, Macau 999078, China · Department of Information and Computing Sciences, Faculty of Science, Utrecht University, Utrecht 3584 CC, Netherlands +10
Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition
Mar 11, 2026Renwei MengCross-Subject EEG Decoding Electroencephalography
Anhui University, Hefei, China
Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting
Jan 23, 2026Haonan Yang, Jianchao Tang, Zhuo LiDisentangled Representation Learning Prototype Learning
National University of Defense Technology, Changsha, Hunan, China
ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation
Dec 2, 2025Kerui Chen, Jianrong Zhang, Ming Li +2Prototype Learning Human Motion Generation
CCAI, Zhejiang University, China · School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, China · Zhejiang Normal University, China
Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
Oct 7, 2025Shuo Jiang, Zhuwen Chen, Liaoman Xu +6Computational Pathology Cancer Survival Prediction
Hangzhou Dianzi University, Hangzhou 310018, China · School of Information and Communication Technology, Griffith University, QLD 4215, Australia · Shenzhen Research Institute of Big Data, Shenzhen 518172, China +3
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
Sep 16, 2025Qianguang Zhao, Dongli Wang, Yan Zhou +23D Point Cloud Segmentation Prototype Learning
School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China · School of Automation and Electronics Information, Xiangtan University, Xiangtan 411105, China · School of Automation, Shanghai Jiao Tong University, Shanghai 200232, China
Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection
Aug 27, 2025Luhu Li, Bin Liu, Bowen Lin +3Prototype Learning Medical Image Anomaly Detection
School of Mathematics, Shandong University, Jinan 250100, China · Department of Interventional Medicine and Minimally Invasive Oncology, The Second Qilu Hospital of Shandong University, Jinan 250033, China · Department of Neurosurgery, The Second Qilu Hospital of Shandong University,2026 Jinan 250033, China
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling
Jul 19, 2025Claudio Giusti, Luca Guarnera, Mirko Casu +1Class-Imbalanced Learning Synthetic Data Augmentation
Department of Mathematics and Computer Science University of Catania Catania, CT 95125

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Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations

Jacek Karolczak, Jerzy Stefanowski

Institute of Computing Science Poznan University of Technology ul. Piotrowo 2, 60-965 Pozna´n, Poland

Prototype-Based Classification Prototype Learning

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Prototype-based explanations offer an intuitive, example-based approach to support the interpretability of machine learning black box classifiers but often lack feature-level granularity. We introduce a framework that integrates feature importance at two levels to address this gap. First, for local explanations, we propose \textit{alike parts}: a method that uses feature importance scores to highlight the most relevant, shared feature subsets between a classified instance and its nearest prototype, guiding user attention. Second, we augment the global prototype selection objective function with a feature importance term to actively promote diversity in the feature attributions of the selected prototypes. Experiments on six benchmark datasets show that this augmented selection process maintains or, in some cases, increases the prediction fidelity of the surrogate model, suggesting that feature diversity does not compromise model fidelity.

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