Self-Supervised Learning

Also known as SSL

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Overview

Self-supervised learning creates training signals from the data itself, for example by matching augmented views, predicting masked content, or using temporal, geometric, and physical consistency. Contrastive learning, masked autoencoders, teacher–student distillation, and joint-embedding predictive architectures are common approaches across images, video, audio, language, medical data, and scientific measurements. These methods can reduce dependence on costly labels and support transfer, but useful representations depend on how well the pretext signal fits the data and downstream task. A central tension is balancing invariance and non-collapse with retaining fine-grained information, while establishing reliable transfer under domain shifts and limited compute remains an open challenge.

Latest papers

CardsList

261 papers32 papers in the last four weeks, up 33% on the four weeks before. 0.2% of all new papers.

  1. Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising

    Mar 26, 2026Brayan Monroy, Jorge Bacca, Julián TachellaSelf-Supervised Image DenoisingSelf-Supervised Learning

    Universidad Industrial de Santander, Colombia · CNRS, ENS de Lyon, France

  2. ARMOR: A Robust Self-Supervised Framework for Root Cause Analysis in Microservices under Missing Modality

    Mar 26, 2026Wenzhuo Qian, Hailiang Zhao, Ziqi Wang +4Root Cause AnalysisMultimodal Anomaly Detection

    Zhejiang University, Hangzhou, China

  3. SAVe: Self-Supervised Audio-visual Deepfake Detection Exploiting Visual Artifacts and Audio-visual Misalignment

    Mar 26, 2026Sahibzada Adil Shahzad, Ammarah Hashmi, Junichi Yamagishi +5Multimodal Deepfake DetectionDeepfake Detection

    Social Networks and Human-Centered Computing Program, Taiwan International Graduate Program, Institute of Information Science, Academia Sinica, Taipei 11529, Taiwan · Department of Computer Science, National Chengchi University, Taipei 11529, Taiwan · Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu 300044, Taiwan +4

  4. Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data

    Mar 26, 2026Haresh Rengaraj Rajamohan, Yuxuan Chen, Kyunghyun Cho +1Self-Supervised LearningRadiology VLMs

    Center for Data Science, New York University, New York, 10011, NY, United States · Perlmutter Cancer Center, New York University Langone Health, New York, 10016, NY, USA · Department of Radiology, New York University Langone Health, New York, 10016, NY, USA +1

  5. PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning

    Mar 24, 2026Yuanhang Lei, Tao Cheng, Xingxuan Li +6Physics-Based SimulationPhysics-Informed ML

    State Key Laboratory of CAD&CG, Zhejiang University · BIGAI · Shenzhen University +1

  6. Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging

    Mar 23, 2026Vedrana Ivezić, Mara Pleasure, Ashwath Radhachandran +7Self-Supervised LearningMedical Image Representation Learning

    Biomedical AI Research Lab, University of California, Los Angeles, Los Angeles, CA, USA · Department of Radiology, University of California, Los Angeles, Los Angeles, CA, USA · Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA +4

  7. A Backbone Benchmarking Study on Self-supervised Learning as a Auxiliary Task with Texture-based Local Descriptors for Face Analysis

    Mar 23, 2026Shukesh Reddy, Abhijit DasSelf-Supervised Learning

    Machine Intelligence Group, Department of CS&IS, BITS Pilani, Hyderabad Campus, Hyderabad, 500078, Telengana, India.

  8. GHOST: Ground-projected Hypotheses from Observed Structure-from-Motion Trajectories

    Mar 21, 2026Tomasz Frelek, Rohan Patil, Akshar Tumu +1Vehicle Trajectory PredictionAutonomous Driving Planning

    Department of Computer Science and Engineering, UC San Diego, United States

  9. Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture - Bridging Predictive and Generative Self-Supervised Learning

    Mar 20, 2026Moritz Gögl, Christopher YauJoint-Embedding Predictive ArchitectureSelf-Supervised Learning

    University of Oxford, UK · Health Data Research UK

  10. LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions

    Mar 20, 2026Ji-il Park, Inwook ShimPoint Cloud DenoisingAutonomous Driving Perception

    Ministry of National Defense, 22, Itaewon-ro, Yongsan-gu, Seoul, Republic of Korea. · Department of Smart Mobility Engineering, Inha University, Republic of Korea.

  11. Self-Conditioned Denoising for Atomistic Representation Learning

    Mar 17, 2026Tynan Perez, Rafael Gomez-BombarelliSelf-Supervised LearningMolecular Representation Learning

    Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA · Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA

  12. Cross-modal learning for plankton recognition

    Mar 17, 2026Joona Kareinen, Veikka Immonen, Tuomas Eerola +5Cross-Modal Representation LearningSelf-Supervised Learning

    Lappeenranta-Lahti University of Technology LUT, Lappeenranta, Finland · Finnish Environment Institute, Helsinki, Finland · Faculty of Information Technology, Brno University of Technology, Czechia

  13. IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning

    Mar 16, 2026Konstantinos Almpanakis, Anna KreshukSelf-Supervised LearningRepresentation Collapse

    European Molecular Biology Laboratory, Heidelberg, Germany

  14. Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models

    Mar 15, 2026Yixuan Tang, Yi YangStance DetectionFinance

    The Hong Kong University of Science and Technology

  15. Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining

    Mar 14, 2026Eytan Kats, Mattias P. HeinrichMedical Image RegistrationDeformable Image Registration

    Institute of Medical Informatics, University of Lübeck, Germany

  16. Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images

    Mar 14, 2026Zhe Zheng, Valéry Dewil, Pablo AriasImage Super-ResolutionRemote Sensing Image Super-Resolution

    Centre Borelli, ENS Paris-Saclay, Universite Paris-Saclay, CNRS, Gif-sur-Yvette, France · Dept. of Engineering, Universitat Pompeu Fabra, Barcelona, SPAIN

  17. TransDex: Pre-training Visuo-Tactile Policy with Point Cloud Reconstruction for Dexterous Manipulation of Transparent Objects

    Mar 14, 2026Fengguan Li, Yifan Ma, Chen Qian +2Robotic ManipulationVisuo-Tactile Representation Learning

    University of Science and Technology of China

  18. SHAMISA: SHAped Modeling of Implicit Structural Associations for Self-supervised No-Reference Image Quality Assessment

    Mar 14, 2026Mahdi Naseri, Zhou WangImage Quality AssessmentSelf-Supervised Learning

    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada

  19. Multi-Station WiFi CSI Sensing Framework Robust to Station-wise Feature Missingness and Limited Labeled Data

    Mar 12, 2026Keita Kayano, Takayuki Nishio, Daiki Yoda +2Wi-Fi SensingLearning with Missing Data

    School of Engineering, Institute of Science Tokyo, 2-12-1 Ookayama, Tokyo, 152-8550, Japan · Wireless Systems R&D Department, Infrastructure Systems R&D Center, Corporate Laboratory, Toshiba Corporation, 1, Komukai Toshiba-cho, Saiwai-ku, Kawasaki 212-8582, JAPAN

  20. Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories

    Mar 11, 2026David ShihSymbolic ReasoningSelf-Supervised Learning

    NHETC, Dept. of Physics and Astronomy, Rutgers University, Piscataway, NJ 08854, USA

  21. Spatial self-supervised Peak Learning and correlation-based Evaluation of peak picking in Mass Spectrometry Imaging

    Mar 11, 2026Philipp Weigand, Nikolas Ebert, Shad A. Mohammed +3Self-Supervised Learning

    Research and Transfer Center CeMOS, Technical University of Applied Sciences Mannheim, Paul-Wittsack-Straße 10, Mannheim, 68163, Germany · Faculty of Biosciences Heidelberg University, Im Neuenheimer Feld 234, Heidelberg, 69120, Germany · Mannheim Center for Translational Neurosciences (MCTN), Med. Faculty Mannheim, Heidelberg University, Theodor Kutzer-Ufer 1-3, 68167, Mannheim, Germany

  22. Frames2Residual: Spatiotemporal Decoupling for Self-Supervised Video Denoising

    Mar 11, 2026Mingjie Ji, Zhan Shi, Kailai Zhou +2Self-Supervised LearningImage Restoration

    Nanjing University, Nanjing, China · Nanyang Technological University, Singapore · Key Laboratory of Optoelectronic Devices and Systems with Extreme Performances of MOE, Nanjing University, Nanjing, China

  23. Self-Supervised Evolutionary Learning of Neurodynamic Progression and Identity Manifolds from EEG During Safety-Critical Decision Making

    Mar 7, 2026Xiaoshan Zhou, Carol C. Menassa, Vineet R. KamatSelf-Supervised LearningElectroencephalography

    Ph.D. Candidate, Dept. of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, 48109-2125. · Professor, Dept. of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, 48109-2125.

  24. Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis

    Mar 6, 2026Hila Chefer, Patrick Esser, Dominik Lorenz +5Flow-Based Generative ModelingFlow Matching

    Black Forest Labs · MIT

  25. KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference

    Mar 6, 2026Jiwon Choi, Hogyun Kim, Geonmo Yang +2Inertial OdometrySelf-Supervised Learning

    Electrical and Computer Engineering, Inha University, Incheon, South Korea

  26. Reconstruct! Don't Encode: Self-Supervised Representation Reconstruction Loss for High-Intelligibility and Low-Latency Streaming Neural Audio Codec

    Mar 6, 2026Junhyeok Lee, Xiluo He, Jihwan Lee +6Neural Audio CodecsSelf-Supervised Learning

    Center for Language and Speech Processing, Johns Hopkins University, USA · Signal Analysis and Interpretation Laboratory, University of Southern California, USA

  27. Self-Supervised Multi-Stage Domain Unlearning for White-Matter Lesion Segmentation

    Mar 4, 2026Domen Preložnik, Žiga ŠpiclinUnsupervised Domain AdaptationMedical Image Segmentation

    University of Ljubljana, Faculty of Electrical Engineering, Slovenia

  28. Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning

    Mar 3, 2026Achleshwar Luthra, Yash Salunkhe, Tomer GalantiNeural CollapseTransfer Learning

    Department of Computer Science & Engineering, Texas A&M University.

  29. Self-supervised Domain Adaptation for Visual 3D Pose Estimation of Nano-drone Racing Gates by Enforcing Geometric Consistency

    Mar 3, 2026Nicholas Carlotti, Michele Antonazzi, Elia Cereda +4Relative Pose EstimationObject Pose Estimation

    Dalle Molle Institute for Artificial Intelligence (IDSIA), USI-SUPSI, Lugano, Switzerland · University of Milan, Italy · Integrated Systems Laboratory (IIS), ETHZ, Zürich, Switzerland

  30. UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification

    Mar 2, 2026Yessin Moakher, Youssef Attia El Hili, Vasilii FeofanovSelf-Supervised Time Series Representation LearningTime-Series Foundation Models

    Ecole Polytechnique, France · Huawei Noah’s Ark Lab