Metric Learning

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Overview

Metric learning studies how to shape similarity so that distances in a representation reflect the relationships that matter for a task. Common approaches include contrastive, triplet, proxy, and angular-margin losses, alongside learned Mahalanobis, manifold, and optimal-transport distances. These methods support image and cross-modal retrieval, person re-identification, few-shot classification, clustering, and open-set recognition, with evaluations often measuring retrieval ranking, recognition accuracy, and robustness to domain shift. A central challenge is making learned geometries expressive enough to capture task-specific structure while remaining stable under scarce or noisy labels and generalizing to unfamiliar data.

Latest papers

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80 papers8 papers in the last four weeks, down 20% on the four weeks before. 0.0% of all new papers.

  1. A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry

    Oct 13, 2026U-Chae Jun, Yoonhyuk Choi, Jiwoo Kang3D SGGMetric Learning

    Department of IT Engineering, Sookmyung Women’s University, Seoul, South Korea · Division of Artificial Intelligence Engineering, Sookmyung Women’s University, Seoul, South Korea

  2. Minimum Volume Optimal Transport for Multivariate Conformal Prediction

    Oct 10, 2026Chuchen Zhang, Haojie Ren, Zhaojun Wang +2Conformal PredictionSet Prediction

    School of Statistics and Data Science, Nankai University · School of Mathematical Sciences, Shanghai Jiao Tong University · School of Management, Fudan University

  3. Data-Adaptive Mahalanobis Metric Learning for Cross-Head Attention in Transformers

    Oct 9, 2026Zhenke Duan, Xin Li, Jiqun Pan +3Multi-Head AttentionTransformer

    School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, China · CodeSoul.Co, Hangzhou, China · Innovation and Talent Base for Digital Technology and Finance, ZUEL +1

  4. Global Average Precision for Representation Learning

    Oct 7, 2026Bill Psomas, Mohammad Mahdi, Michalis Thomas +3Learning to RankMetric Learning

    VRG, FEE, Czech Technical University in Prague · INSAIT, Sofia University “St. Kliment Ohridski”

  5. Directed Temporal Representations for Offline Visual Control

    Oct 6, 2026Chenyang Yuan, Haoyu Wang, Zhuo Sun +1Visual RLTrajectory Representation Learning

    University of Sheffield · Shanghai Jiao Tong University · Shanghai University of Finance and Economics +1

  6. METRO: Metric-Enhanced Token Routing Operator

    Oct 4, 2026Nodens Koren, Thomas Hofmann, Georgios KissasMetric LearningPDE Operator Learning

    Department of Computer Science ETH Zürich Zürich, Switzerland · Swiss Data Science Center ETH Zürich Zürich, Switzerland

  7. Label-Efficient Time Series Classification at Scale: A Dual-Stream OSSE-LSTM with Counterfactual Attribution

    Oct 2, 2026Nguyen Ho, Bach Tung Tran, Trung Ky Nguyen +3Time Series ClassificationData-Efficient Learning

    Loyola University Maryland, USA · School of Computer Science and Engineering, International University, Vietnam · School of Compute Science and Artificial Intelligence, Wuhan University of Technology, China

  8. Learning Goal-Reaching Quasimetric Geometry From Finite-Time Reachability

    Sep 30, 2026Daisuke Yamada, Travis Pence, Vikas SinghMetric LearningOffline RL

    Department of Computer Science University of Wisconsin–Madison · Department of Biostatistics and Medical Informatics University of Wisconsin–Madison

  9. Rethinking Automated Voice Similarity by Shifting from EER to Embedding Geometry

    Sep 27, 2026Szu-Chi Chen, Jia-Kai Dong, Yi-Cheng Lin +2Audio Representation LearningSpeaker Verification

    National Taiwan University, Taipei, Taiwan · NVIDIA, Taiwan · Artificial Intelligence Center of Research Excellence (NTU AI-CoRE), NTU, Taiwan

  10. Task-Induced Riemannian Metrics for Vision Transformer Feature Spaces

    Sep 23, 2026Andrew Bond, Ege Erdem Özlü, Tuna Çimen +4Vision TransformerGeometric Representation Learning

    Imperial College London London, UK · Hacettepe University Ankara, Türkiye

  11. Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing

    Sep 15, 2026Hojin Lee, Youngim Nam, Sanghun Lee +1Probabilistic Trajectory PredictionDeep Kernel Learning

    Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea

  12. Optimal Transport Metric Learning for Feature Alignment in Partially Supervised Segmentation

    Sep 15, 2026Dakini Mallam Garba, Salim Abdou DaouraMulti-Organ SegmentationMedical Image Segmentation

    ML Collective

  13. Complete Suffix Prediction for Recommendation via Latent Retrieval over Process Graphs

    Sep 14, 2026Sarra Madad, Myriam Maumy, Fr{é}d{é}ric Bertrand +1Predictive Process MonitoringProcess Mining

    UTT, LIST3N - OPTI, QAD · EHESP, LIST3N - OPTI, ARENES · CEDRIC, LIST3N - OPTI +1

  14. Physics-guided deep metric learning with continuous time embeddings for open-world radar pulse de-interleaving

    Sep 8, 2026Vikas Agnihotri, Jasleen KaurMetric LearningPhysics-Informed ML

    Independent Researcher India · National Institute of Technology, Rourkela India

  15. Learning Kernels by Alignment for Multiclass Bayes Classification

    Sep 6, 2026Hollan Haule, Javier EscuderoBayesian InferenceMetric Learning

  16. Few-Shot Video Recognition via Hierarchical Metric Learning

    Sep 4, 2026Jiaxin Zhang, Haoran Gao, Xizhan Gao +3Few-Shot LearningVideo Action Recognition

    School of Information Science and Engineering, University of Jinan, Shandong, China

  17. Nested Inductive Bias Framework for SPD Manifold Learning

    Sep 3, 2026Tushar DasRiemannian Metric LearningGeometric Representation Learning

    National Institute of Technology Jamshedpur

  18. Learning to Attract and Repel: Dual Quality Margin Learning for Face Recognition (DQM-Face)

    Sep 2, 2026El Ouanas Belabbaci, Bhavesh Wani, Philipp TerhörstFace RecognitionMetric Learning

    Laboratoire d’Ingénierie des Systèmes Intelligents et Communicants (LISIC), Faculty of Electrical Engineering, University of Sciences and Technology Houari Boumediene (USTHB), Algiers, Algeria · Johannes Gutenberg University Mainz, Germany

  19. Domain-Specific Text Embedding Models for Entity Resolution

    Aug 17, 2026Khajesh Sapram, Srivardhani Raju, Kishore KondaText Embedding ModelsEntity Resolution

    Sodhana

  20. Multi-scale Decomposed Convolution Refinement Network for Visible-Infrared Person Re-Identification

    Aug 17, 2026Mingsheng Zheng, Zirui Jiang, Bo Liu +3Visible-Infrared Person Re-IdentificationPerson Re-Identification

    School of Computer Science and Technology, Xinjiang University, Urumqi, Xinjiang 830046, China · Joint International Research Laboratory of Silk Road Multilingual Cognitive Computing, Xinjiang University, Urumqi, Xinjiang 830046, China

  21. Shape Operator PCA: Curvature-Aware Projections for Geometric Machine Learning

    Aug 15, 2026Alexandre L. M. LevadaDimensionality ReductionPrincipal Component Analysis

    Federal University of São Carlos 13565-905, São Carlos-SP, Brazil

  22. GRACE: LLM-Grounded Semantic Metric Spaces for Scalable Mixed-Data Clustering

    Aug 8, 2026Zihua Yang, Zhencheng Xie, Junyang Chen +4ClusteringUnsupervised Clustering

    Guangdong University of Technology · Tsinghua University · Peking University +2

  23. Algorithmic statistics of retinal images

    Aug 6, 2026Loan Huynh, Ronald Zambrano, Layton Aho +4Medical ImagingLongitudinal Medical Image Analysis

    Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA · Glaucoma Service, Wills Eye Hospital, Philadelphia, PA, USA · School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA +2

  24. Re-thinking Mammography Transfer Learning: The Dataset-Informed Transfer Learning (DITL) Framework for Breast Cancer Screening and Lesion Diagnosis

    Jul 28, 2026Adarsh Bhandary Panambur, Siming Bayer, Andreas MaierMetric LearningMedical Image Classification

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Siemens Healthineers, Erlangen, Germany

  25. PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning

    Jul 20, 2026Daegyeong Roh, Juho Bae, Han-Lim ChoiMahalanobis DistanceMetric Learning

    Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejon, Republic of Korea.

  26. Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels

    Jul 20, 2026Wenxiao Fan, Kan LiMetric LearningLearning with Noisy Labels

    School of Computer Science, Beijing Institute of Technology

  27. Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning

    Jul 20, 2026Kai Jiang, Zisong Lin, Hongyuan Zhang +2Class-Incremental LearningMetric Learning

    National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China · The University of Hong Kong, Hong Kong SAR, China · Institute of Artificial Intelligence (TeleAI) of China Telecom, China

  28. Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents

    Jul 14, 2026Xing Zhang, Guanghui Wang, Yanwei Cui +4LLM Agent EvaluationLLM Agent Self-Improvement

    1AWS Generative AI Innovation Center · 2HSBC Holdings Plc., HSBC Technology Center, China

  29. Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition

    Jul 9, 2026Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +6Personality Modeling in Language ModelsMetric Learning

    Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia · Institute of Communication Studies, National Yang Ming Chiao Tung University, Taiwan · Institute of Information Management, National Yang Ming Chiao Tung University, Taiwan +2

  30. Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes

    Jul 6, 2026Yiqun Zhang, Yiu-ming CheungClusteringMetric Learning