Self-Supervised Learning

Latest papers 274

All topics
CardsList
  1. Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus

    Apr 20, 2026Esteban Rodríguez-Betancourt, Edgar Casasola-MurilloSelf-Supervised LearningSelf-Distillation Framework

  2. iDocV2: Leveraging Self-Supervision and Open-Set Detection for Improving Pattern Spotting in Historical Documents

    Apr 17, 2026Jose M. Saavedra, Crhistopher Stears, Marcelo Pizarro +2Open-Set RecognitionSelf-Supervised Learning

  3. Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance

    Apr 17, 2026Hamed Ouattara, Pierre Duthon, Pascal Houssam Salmane +2Self-Supervised LearningAppearance

  4. SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification

    Apr 17, 2026Enhui Chai, Sicheng Chen, Tianyi Zhang +2MambaSelf-Supervised Learning

  5. Graph self-supervised learning based on frequency corruption

    Apr 17, 2026Haojie Li, Mengjiao Zhang, Guanfeng Liu +3Graph Representation LearningSelf-Supervised Learning

  6. Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization

    Apr 13, 2026Ben Isselmann, Dilara Göksu, Heinz Neumann +1MicroscopySelf-Supervised Learning

  7. Control-DINO: Feature Space Conditioning for Controllable Image-to-Video Diffusion

    Apr 2, 2026Edoardo A. Dominici, Thomas Deixelberger, Konstantinos Vardis +1Video Diffusion ModelsSelf-Supervised Learning

  8. On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry

    Mar 29, 2026Mohammad Tinati, Stephen TuSelf-Supervised LearningPretraining

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

    Mar 26, 2026Brayan Monroy, Jorge Bacca, Julián TachellaNoise-AwareIterative Denoising Methods

  10. Human-like Object Grouping in Self-supervised Vision Transformers

    Mar 14, 2026Hossein Adeli, Seoyoung Ahn, Andrew Luo +3Self-Supervised Vision TransformersSelf-Supervised Learning

  11. Learning to Discover Iterative Spectral Algorithms

    Feb 10, 2026Zihang Liu, Oleg Balabanov, Yaoqing Yang +1Spectral Representation MethodSelf-Supervised Learning

  12. Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching

    Feb 5, 2026Qianxin Xia, Jiawei Du, Yuhan Zhang +6Diffusion-Based Dataset DistillationSelf-Supervised Learning

  13. Self-Supervised Learning from Structural Invariance

    Feb 2, 2026Yipeng Zhang, Hafez Ghaemi, Jungyoon Lee +3Self-Supervised LearningLatent Representation Alignment

  14. Hypersolid: Emergent Vision Representations via Short-Range Repulsion

    Jan 29, 2026Esteban Rodríguez-Betancourt, Edgar Casasola-MurilloSelf-Supervised RepresentationsSelf-Supervised Learning

  15. Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training

    Dec 2, 2025Hong-Jie You, Jie-Jing Shao, Xiao-Wen Yang +3InstrumentPretraining

  16. FIELDS: Face reconstruction with accurate Inference of Expression using Learning with Direct Supervision

    Nov 26, 2025Chen Ling, Henglin Shi, Hedvig KjellströmBlind Face RestorationFacial Expression Recognition

  17. Pre-train to Gain: Robust Learning Without Clean Labels

    Nov 25, 2025David Szczecina, Nicholas Pellegrino, Paul FieguthNoisy LabelsSelf-Supervised Learning

  18. PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning

    Nov 21, 2025Melika Shirian, Kianoosh Vadaei, Kian Majlessi +3Self-Supervised LearningMultimodal Pretraining

  19. Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm

    Sep 29, 2025Yunhao Liang, Pujun Zhang, Yuan Qu +3Graph Foundation ModelCombinatorial Optimization

  20. SingLEM: Single-Channel Large EEG Model

    Sep 22, 2025Jamiyan Sukhbaatar, Satoshi Imamura, Ibuki Inoue +5Electroencephalography Foundation ModelsElectroencephalography

  21. FairSSL: Fair Multimodal Self-Supervised Learning

    Aug 22, 2025Jiaee Cheong, Abtin Mogharabin, Paul Liang +2Multimodal LearningSelf-Supervised Learning

  22. AdaDim: Dimensionality Adaptation for SSL Representational Dynamics

    May 18, 2025Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegibSelf-Supervised RepresentationsSelf-Supervised Learning

  23. Meta-Representational Predictive Coding: Neuroscience-Informed Self-Supervised Learning

    Mar 22, 2025Alexander Ororbia, Karl Friston, Rajesh P. N. RaoPredictive CodingSelf-Supervised Learning

  24. Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications

    Mar 3, 2025Yuchen Xiang, Zhaolu Liu, Monica Emili Garcia-Segura +12Hyperspectral Image Super-ResolutionHyperspectral Image

  25. Stochastic Optimal Control for Continuous-Time fMRI Representation Learning

    Feb 7, 2025Joonhyeong Park, Byoungwoo Park, Chang-Bae Bang +4Functional Magnetic Resonance ImagingRepresentation Learning

  26. Learning to Visually Connect Actions and their Effects

    Jan 19, 2024Paritosh Parmar, Eric Peh, Basura FernandoFine-Grained Video UnderstandingSelf-Supervised Learning

  27. DIRA-SS:Dynamic Domain Incremental Regularised Adaptation -- Self-Supervised

    Nov 13, 2023Abanoub Ghobrial, Kerstin EderDomain AdaptationSelf-Supervised Learning

  28. Training-Free Uncertainty Estimation for Embedding Models

    May 31, 2023Young-Jin Park, Addison Kristanto Julistiono, Hao Wang +2Uncertainty-Aware ClassificationSelf-Supervised Learning

  29. A unified self-supervised framework for single-frame Fresnel CDI and overlapped ptychography

    Date pendingOliver Hoidn, Steven Henke, Albert Vong +3Image ReconstructionSingle-Photon Avalanche Diode