Supervised Contrastive Learning

Ask about this topic

Overview

The method uses class labels to define positive and negative example pairs, training an encoder to produce representations that help distinguish categories, often alongside a classification loss. Common approaches include supervised contrastive loss, prototype and angular objectives, and weighted or hard-negative pair selection; extensions apply these ideas across modalities and network layers. Researchers use it for image and text classification, speech recognition, medical imaging, and long-tailed settings, with benchmarks such as ImageNet-LT, IEMOCAP, and MIMIC-CXR. A central challenge is choosing pairs and loss geometry that improve class separation without discarding useful within-class variation, especially when classes are imbalanced or labels are scarce.

Latest papers

CardsList

45 papers8 papers in the last four weeks, up 167% on the four weeks before. 0.0% of all new papers.

  1. Rethinking Representation Geometry in Supervised Contrastive Learning under Long-Tailed Data

    Oct 23, 2026Joonhyeok Jeong, Jy-yong Sohn, Kibok LeeContrastive LearningSupervised Contrastive Learning

    Department of Statistics and Data Science, Yonsei University

  2. Dual-Channel Contrastive Encoding of Sperm Whale Coda

    Oct 21, 2026João Victor Quintanilha, Emma Virnelli, Shuo ZhangAudio Representation LearningBioacoustics

    Tufts University, Medford, MA, USA

  3. Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR

    Oct 14, 2026Bilal Sidiqi, Yipei Wang, Wen Yan +3Medical Image Segmentation3D Medical Image Segmentation

    UCL Hawkes Institute, University College London, London, UK · Department of Medical Physics and Biomedical Engineering, University College London, London, UK · Centre for Bioengineering, School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom +2

  4. fMRI-TAMCL: Text-Anchored Supervised Multimodal Contrastive Learning for fMRI-Based Brain Disorder Classification

    Oct 5, 2026Juliana Mantebea Danso, Enoch Opanin Gyamfi, Mylene C. Q. FariasNeuroimagingMultimodal Contrastive Learning

    Department of Computer Science, Texas State University, San Marcos, TX 78666 USA · University of Technology and Applied Sciences, Navrongo, Ghana

  5. Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer

    Oct 4, 2026Qingyang ZhangCross-Domain Transfer LearningLongitudinal EHR Modeling

    Information Networking Institute Carnegie Mellon University Pittsburgh, United States

  6. Diagnosis-Conditioned Spatial Gating and Decoder-Level Supervised Contrastive Learning for Radiology Report Generation

    Oct 3, 2026Md Mustafizur Rahman, Mylene C. Q. FariasRadiology Report GenerationGated Attention

    Department of Computer Science, Texas State University, San Marcos, TX, USA

  7. Where Does the Semantic Gain Come From? A Reproduction and Extension of Semantic Knowledge-driven Contrastive Learning for Long-Tailed Recognition

    Oct 2, 2026Sushrut GhimireContrastive LearningLong-Tailed Classification

    Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany

  8. Does a Shared Temperature Imply a Shared Angular Scale in Probabilistic Contrastive Learning?

    Sep 30, 2026Ningkang Peng, Qianfeng Yu, Jingyang Mao +4Contrastive LearningSupervised Contrastive Learning

    Nanjing Normal University · Nanjing University of Chinese Medicine · Tohoku University

  9. What Drives Hierarchy-Aware Image Retrieval? Taxonomy Alignment, Objective Choice, and Geometry

    Sep 22, 2026Ling ShiImage RetrievalHierarchical Representation Learning

    Southeast University

  10. Fragment-Aware Vision Transformers for Fresco-Fragment Style Classification

    Sep 17, 2026Sara Miketek, Biagio Barchielli, Nadeem Iqbal Kajla +1Vision TransformerFine-Grained Image Classification

    Ca’ Foscari University of Venice, Venice, Italy · Dundalk Institute of Technology, Dundalk, Ireland · University of Milan, Milan, Italy

  11. Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models

    Sep 7, 2026Seungmin Oh, Seunghun Kang, Jongbin RyuVLM AdaptationContrastive Learning for VLMs

    Department of Artificial Intelligence, Ajou University, Suwon, South Korea · Department of Computer Engineering, Ajou University, Suwon, South Korea

  12. Graph-Supervised Hierarchical Clinical Alignment for Radiology Report Generation with Large Language Models

    Aug 25, 2026Yingshu Li, Yunyi Liu, Zhanyu Wang +4Radiology Report GenerationRadiology VLMs

    University of Sydney Sydney, Australia · University of Wollongong Wollongong, Australia · University of Adelaide Adelaide, Australia

  13. Discovering Dual-Origin Slow Wind from Solar Orbiter with Self-Supervised Contrastive Learning

    Aug 22, 2026Henry Han, Jorge Yero SalazarSolar PhysicsDeep Clustering

    Department of Computer Science, Baylor University, One Bear Place, Waco, TX 76798, USA

  14. SpurCon: Weighted Supervised Contrastive Learning for Mitigating Spurious Cues in Medical Imaging

    Aug 18, 2026Shenhav Nadir, Meir Yossef Levi, Eyal Gofer +1Spurious Correlation RobustnessSupervised Contrastive Learning

    Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology

  15. 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

  16. Bias Mitigation in Face Recognition via Demographic-based Supervised Contrastive Learning

    Aug 13, 2026Yu Linghu, Salman Mohammad, Xinyi Zhang +1Algorithmic FairnessGroup Fairness

    Department of Informatics University of Zurich

  17. EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation

    Jul 19, 2026Zilong Huang, Kong Aik Lee, Chong-Xin Gan +3Emotion Recognition in ConversationsMultimodal Emotion Recognition

    Dept. of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China

  18. Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogram Arrhythmia Diagnosis

    Jul 16, 2026Jin Dai, Qiuzhen Zhang, Chenyun Dai +2Class-Imbalanced LearningMulti-Label Classification

    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China · Department of Neurology and Neurological Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital, School of Medicine, Tongji University, Shanghai, 201619, China

  19. Contrastive-Collapsed Loss for Flexible and Geometrically Optimal Embeddings and Faster Convergence

    Jul 14, 2026Blanca Cano-Camarero, Ángela Fernández-Pascual, José R. DorronsoroGeometric Representation LearningNeural Collapse

    1Departamento de Ingeniería Informática, Universidad Autónoma de Madrid, Calle Francisco Tomás y Valiente, 11, 28049, Madrid, España

  20. A Novel Graph Fraud Detector via Grouped Attribute Completion and Confidence-Aware Contrastive Learning

    Jul 13, 2026Junpeng Wu, Ye YuanGraph Neural NetworksGraph-Based Semi-Supervised Learning

    College of Computer and Information Science Southwest University Chongqing, China

  21. Learning Diachronic Representations of Ancient Greek Letterforms

    Jun 23, 2026John Pavlopoulos, Spyros Barbakos, Lavinia Ferretti +7Representation LearningVisual Representation Learning

    Athens University of Economics and Business, Greece · Archimedes, Athena Research Center, Greece · Department of Computer and Systems Sciences, Stockholm University, Sweden +5

  22. Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations

    Jun 22, 2026Yasantha Niroshana, Weijith Wimalasiri, Chathuranga HettiarachchiContrastive LearningRepresentation Learning

    Department of Computer Science, University of Moratuwa, Sri Lanka.

  23. MSAIC-Net: A Multi-Scale Attention and Imbalance-Aware Contrastive Network for ECG-Based Myocardial Substrate Abnormality Detection

    Jun 4, 2026Canyu Lei, Fenglin Zhang, Derek Bivona +5Class-Imbalanced LearningElectrocardiogram Classification

  24. OSCS-SupCon: Orthogonal Sigmoid-based Common and Style Supervised Contrastive Learning for Robust Feature Disentanglement

    May 29, 2026Bin Wang, Fadi DornaikaContrastive LearningDisentangled Representation Learning

    University B.of theWang1Basqueand Country · IKERBASQUE,2

  25. Neural Collapse by Design: Learning Class Prototypes on the Hypersphere

    May 19, 2026Panagiotis Koromilas, Theodoros Giannakopoulos, Mihalis A. Nicolaou +1Prototype-Based ClassificationHyperspherical Representation Learning

    University of Athens · NSCR Demokritos · University of Cyprus +2

  26. A Unified Geometric Framework for Weighted Contrastive Learning

    May 13, 2026Raphael Vock, Edouard Duchesnay, Benoit DufumierContrastive LearningNeural Representation Geometry

    GAIA Lab, NeuroSpin, CEA, CNRS · Université Paris-Saclay, Gif-sur-Yvette, France

  27. A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning

    May 8, 2026Nong Minh Hieu, Antoine LedentClass-Imbalanced LearningContrastive Learning

    School of Computing and Information Systems, Singapore Management University.

  28. Contrastive Regularization for Accent-Robust ASR

    May 5, 2026Van-Phat Thai, Aradhya Dhruv, Duc-Thinh Pham +1Automatic Speech RecognitionSupervised Contrastive Learning

    Air Traffic Management Research Institute, Nanyang Technological University, Singapore · Center of AI Research, VinUniversity, Vietnam

  29. Statistical Consistency and Generalization of Contrastive Representation Learning

    May 4, 2026Yuanfan Li, Xiyuan Wei, Tianbao Yang +1Contrastive LearningSupervised Contrastive Learning

    University of Sydney · 2Texas A&M University

  30. Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection

    Apr 28, 2026Jaskirat Sudan, Hashim Ali, Surya Subramani +1Audio Deepfake DetectionASVspoof

    1CECS, University of Michigan, Dearborn, USA