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. MoBind: Motion Binding for Fine-Grained IMU-Video Pose Alignment

    Feb 22, 2026Duc Duy Nguyen, Tat-Jun Chin, Minh HoaiCross-Modal Representation LearningCross-Modal Alignment

  2. jina-embeddings-v5-text: Task-Targeted Embedding Distillation

    Feb 17, 2026Mohammad Kalim Akram, Saba Sturua, Nastia Havriushenko +4Text Embedding ModelsKnowledge Distillation

  3. BindCLIP: A Unified Contrastive-Generative Representation Learning Framework for Virtual Screening

    Feb 16, 2026Anjie Qiao, Zhen Wang, Yaliang Li +2Virtual ScreeningMolecular Representation Learning

  4. MB-DSMIL-CL-PL: Scalable Weakly Supervised Ovarian Cancer Subtype Classification and Localisation Using Contrastive and Prototype Learning with Frozen Patch Features

    Feb 16, 2026Marcus Jenkins, Jasenka Mazibrada, Bogdan Leahu +1Histopathology Image ClassificationCancer Subtype Classification

  5. BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs

    Feb 16, 2026Tianyi Ma, Yiyue Qian, Zehong Wang +3Hypergraph LearningHypergraph Neural Networks

  6. Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning

    Feb 11, 2026Hyeongmin Lee, Chanyeol Choi, Jihoon Kwon +8Contrastive LearningInformation Retrieval

  7. Enhancing IMU-Based Online Handwriting Recognition via Contrastive Learning with Zero Inference Overhead

    Feb 4, 2026Jindong Li, Dario Zanca, Vincent Christlein +4Contrastive LearningOnline Handwriting Recognition

  8. The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence

    Jan 27, 2026Yichao Cai, Zhen Zhang, Yuhang Liu +1Cross-Modal LearningContrastive Learning

  9. Mitigating Bias in Automated Essay Scoring for ESL Learners via Contrastive Learning

    Jan 23, 2026Kevin Fan, Eric YunContrastive LearningEducational Assessment

  10. Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting

    Dec 8, 2025Joel Ekstrand, Tor Mattsson, Zahra Taghiyarrenani +3Multivariate Time Series ForecastingContrastive Learning

  11. Patent Representation Learning via Self-supervision

    Nov 3, 2025You Zuo, Kim Gerdes, Éric de la Clergerie +1Contrastive LearningRepresentation Learning

  12. Consistent Zero-Shot Imitation with Contrastive Goal Inference

    Oct 20, 2025Kathryn Wantlin, Chongyi Zheng, Benjamin EysenbachContrastive LearningReinforcement Learning

  13. Symmetry-Aware Transformer Training for Automated Planning

    Aug 11, 2025Markus Fritzsche, Elliot Gestrin, Jendrik SeippContrastive LearningTransformer

  14. SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation

    Aug 8, 2025Weichen Zhang, Kebin Liu, Fan Dang +3Contrastive LearningWeakly Supervised Image Segmentation

  15. Divergence-Based Similarity Function for Multi-View Contrastive Learning

    Jul 9, 2025Jaehyoung Jeon, Cheolsu Lim, Myungjoo KangContrastive LearningMulti-View Learning

  16. MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation

    Apr 7, 2025Rayan Merghani Ahmed, Adnan Iltaf, Mohamed Elmanna +5Contrastive LearningMedical Imaging

  17. SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning

    Oct 3, 2024Nikos Giakoumoglou, Tania StathakiContrastive LearningHard Negative Mining

  18. Beyond Spectral Decomposition: Bayesian Contrastive Learning and its Non-negative Formulation via Factor Analysis

    Jul 31, 2024Zhibin Duan, Tiansheng Wen, Yifei Wang +3Contrastive LearningDisentangled Representation Learning

  19. Relational Representation Distillation

    Jul 16, 2024Nikos Giakoumoglou, Tania StathakiContrastive LearningRelational Knowledge Distillation

  20. A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition

    Apr 5, 2022Silvan Ferreira, Esdras Costa, Marcio Dahia +1Contrastive LearningSign Language Recognition

  21. Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment

    Feb 28, 2022Paritosh Parmar, Amol Gharat, Helge RhodinContrastive LearningAction Quality Assessment