Overview

Contrastive learning teaches a model which examples should have similar representations and which should be distinct, often using different views of the same item as positive pairs. Common approaches include InfoNCE methods such as SimCLR and MoCo, supervised and prototype-based losses, hard-negative mining, and CLIP-style alignment across modalities. These representations support classification, retrieval, and transfer when labels are scarce, across images, language, time series, graphs, and scientific data. A central challenge is choosing positives and negatives that capture useful invariances without treating semantically related examples as negatives or discarding information needed for downstream tasks; theory also studies representation collapse, geometry, and generalization.

Latest papers

CardsList

322 papers37 papers in the last four weeks, up 3% on the four weeks before. 0.2% of all new papers.

  1. CLIP Architecture for Abdominal CT Image-Text Alignment and Zero-Shot Learning: Investigating Batch Composition and Data Scaling

    Apr 15, 2026Shivika, Kartik Bose, Pankaj GuptaMedical VLMs3D Medical Imaging

  2. Training-Free Test-Time Contrastive Learning for Large Language Models

    Apr 15, 2026Kaiwen Zheng, Kai Zhou, Jinwu Hu +3Test-Time AdaptationLanguage Model Robustness

  3. CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy

    Apr 13, 2026Zehao Qin, Xiaojian Lin, Ping Zhang +6Electrocardiogram Representation LearningRepresentation Learning

  4. Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering

    Apr 13, 2026Mingjie Zhao, Yunfan Zhang, Yiqun Zhang +1ClusteringDeep Clustering

  5. Masked Contrastive Pre-Training Improves Music Audio Key Detection

    Apr 11, 2026Ori Yonay, Tracy Hammond, Tianbao YangMusic Information RetrievalAudio Representation Learning

  6. Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models

    Apr 10, 2026Harry Proshian, Nikita Severin, Sergey Nikolenko +5Self-Supervised LearningContrastive Learning

  7. CLEAR: Cross-Lingual Enhancement in Alignment via Reverse-training

    Apr 7, 2026Seungyoon Lee, Minhyuk Kim, Seongtae Hong +3Multilingual IRCross-Lingual Representation Alignment

  8. Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective

    Apr 7, 2026Jonas Muth, Zdravko Marinov, Simon ReißRepresentation LearningMedical Imaging

  9. SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles

    Apr 6, 2026Bin Rao, Haicheng Liao, Chengyue Wang +3Trajectory PredictionVehicle Trajectory Prediction

  10. Spatially-Weighted CLIP for Street-View Geo-localization

    Apr 6, 2026Ting Han, Fengjiao Li, Chunsong Chen +3Geospatial Representation LearningVisual Place Recognition

  11. CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

    Mar 31, 2026Dimitrios Anastasiou, Razvan Caramalau, Jialang Xu +6Unsupervised Domain AdaptationSurgical Video Understanding

  12. TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding

    Mar 31, 2026Jingbin You, Zehao Li, Hao Jiang +83D Semantic Segmentation3D Scene Understanding

  13. ChemCLIP: Bridging Organic and Inorganic Anticancer Compounds Through Contrastive Learning

    Mar 30, 2026Mohamad Koohi-Moghadam, Hongzhe Sun, Hongyan Li +1Cancer Drug Response PredictionMolecular Representation Learning

  14. ContraMap: Contrastive Uncertainty Mapping for Robot Environment Representation

    Mar 29, 2026Chi Cuong Le, Weiming ZhiUncertainty QuantificationSemantic Occupancy Mapping

  15. Contrastive Conformal Sets

    Mar 27, 2026Yahya Alkhatib, Wee Peng TayContrastive LearningConformal Prediction

  16. DiReCT: Disentangled Regularization of Contrastive Trajectories for Physics-Refined Video Generation

    Mar 26, 2026Abolfazl Meyarian, Amin Karimi Monsefi, Rajiv Ramnath +1Contrastive Flow MatchingPhysical Consistency in Video Generation

  17. SIGMA: Semantic Identifier Grouping for Molecular Autoregression

    Mar 26, 2026Xinyu Wang, Fei Dou, Jinbo Bi +1Molecular GenerationMolecular Representation Learning

  18. Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

    Mar 25, 2026Nathan BaileyContrastive LearningGeospatial Representation Learning

  19. CoRe: Joint Optimization with Contrastive Learning for Medical Image Registration

    Mar 24, 2026Eytan Kats, Christoph Grossbroehmer, Ziad Al-Haj Hemidi +3Medical Image RegistrationDeformable Image Registration

  20. Crab: Multi Layer Contrastive Supervision to Improve Speech Emotion Recognition Under Both Acted and Natural Speech Condition

    Mar 24, 2026Lucas H. Ueda, João G. T. Lima, Paula D. P. CostaContrastive LearningMultimodal Emotion Recognition

  21. Span Modeling for Idiomaticity and Figurative Language Detection with Span Contrastive Loss

    Mar 24, 2026Blake Matheny, Phuong Minh Nguyen, Minh Le NguyenFigurative Language UnderstandingContrastive Learning

  22. Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases

    Mar 23, 2026Clemens Watzenböck, Daniel Aletaha, Michaël Deman +9Medical Image AnalysisMedical Image Representation Learning