Metric Learning

Latest papers 47

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  1. Global Average Precision for Representation Learning

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

  2. Directed Temporal Representations for Offline Visual Control

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

  3. METRO: Metric-Enhanced Token Routing Operator

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

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

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

  5. 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

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

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

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

    Sep 15, 2026Hojin Lee, Youngim Nam, Sanghun Lee +1Multi-Agent Trajectory PredictionAutonomous Racing

  8. 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

  9. 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

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

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

  11. Algorithmic statistics of retinal images

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

  12. 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

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

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

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

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

  15. 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

  16. 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

  17. 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

  18. PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling

    Jul 4, 2026Varvara Nazarenko, Timur Lidzhiev, Alexander TarakanovSpectral RegularizationRepresentation Learning

  19. MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning

    Jul 3, 2026Yaniv Shulman, Shaghayegh Akbarpour, Jack B. MuirMasked AutoencodersGraph Representation Learning

  20. CouCE: A Unified Causal Framework for Debiased Deep Metric Learning

    Jun 29, 2026Xin Yuan, Zhenyang Niu, Meiqi Wan +3Debiased MLCausal Representation Learning

  21. Space Is Intelligence: Neural Semigroup Superposition for Riemannian Metric Generation

    Jun 17, 2026Chenghao XuGeometric Representation LearningMetric Learning

  22. Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings

    Jun 13, 2026Shubhang Bhatnagar, Dheeraj Baiju, Narendra AhujaVisual Representation LearningFine-Grained Image Retrieval

  23. Riemannian Metric Matching for Scalable Geometric Modeling of Distributions

    Jun 12, 2026Jacob Bamberger, Adam Gosztolai, Pierre Vandergheynst +2Geometric Representation LearningMetric Learning

  24. Quality Adaptive Angular Margin Learning for Respiratory Sound Classification

    Jun 10, 2026Yoon Tae Kim, Heejoon Koo, Miika Toikkanen +1OOD GeneralizationMetric Learning

  25. Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models

    May 22, 2026Conlan Olson, Linjun Zhang, Zhun Deng +1Mahalanobis DistanceAlgorithmic Fairness

  26. High Quality Embeddings for Horn Logic Reasoning

    May 19, 2026Yifan Zhang, Yasir White, Dean Clark +4Logical ReasoningMetric Learning

  27. Few-Shot Network Intrusion Detection Using Online Triplet Mining

    May 17, 2026Jack Wilkie, Hanan Hindy, Christos Tachtatzis +2Network Intrusion DetectionFew-Shot Learning

  28. Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation

    May 14, 2026Zhiquan Chen, Haitao Wang, Guowei Zou +1Image SegmentationMetric Learning

  29. Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment

    May 14, 2026Yuchen Sun, Pei Fu, Shaojie Zhang +6GUI AgentsAI Agent Evaluation

  30. MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection

    May 11, 2026Yuteng Zhang, Huifang Ma, Jiahui Wei +2Class-Imbalanced LearningSoftware Vulnerability Detection

  31. Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation

    May 9, 2026Luke Zhang, Justin Vasselli, Aditya Khan +2Metric LearningMT Evaluation

  32. DPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification

    May 7, 2026Lei Tan, Yingshi Luan, Pincong Zou +2Metric LearningPerson Re-Identification

  33. Geometric Kolmogorov--Arnold Network (GeoKAN)

    May 7, 2026Abhijit Sen, Bikram Keshari Parida, Giridas Maiti +2Neural Surrogate ModelingMetric Learning

  34. Beyond Rigid Geometries: The Spline-Pullback Metric for Universal Diffeomorphic SPD Representation Learning

    May 6, 2026Tushar Das, Subrata Dutta, Sarmistha Neogy +1Geometric Representation LearningMetric Learning

  35. Distance metric learning for conditional anomaly detection

    May 1, 2026Michal Valko, Milos HauskrechtMetric LearningAnomaly Detection

  36. FunFace: Feature Utility and Norm Estimation for Face Recognition

    Apr 29, 2026Žiga Babnik, Fadi Boutros, Naser Damer +3Metric LearningFace Recognition

  37. Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification

    Apr 16, 2026Meijia Wang, Guochao Wang, Haozhen Chu +4Frequency-Domain Feature LearningFine-Grained Image Classification

  38. Open-Set Vein Biometric Recognition with Deep Metric Learning

    Apr 16, 2026Paweł Pilarek, Marcel Musiałek, Anna GórskaBiometric IdentificationDomain Generalization