Self-Supervised Representations

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5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model

    Oct 5, 2026Vicente Balmaseda, Ching-Long Lin, Tianbao YangSelf-Supervised Representations

    Department of Computer Science and Engineering Texas A&M University College Station, TX, USA · Mechanical Engineering University of Iowa Iowa City, IA, USA

  2. CI-JEPA: A Counterfactual Analysis of Latent Representations in Joint-Embedding Predictive Architectures for Self-Supervised Learning

    Oct 4, 2026Mintu Dutta, Ritesh Vyas, Mohendra Roy *Self-Supervised Representations

    Department of Information and Communication Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India · Department of Electrical and Electronics Engineering, Birla Institute of Technology & Science, Pilani, Rajasthan, India

  3. Surface-volume self-supervised representation learning of brain MRI for genetic discovery

    Oct 1, 2026Tian Xia, Nuo Chen, Zihao Zhu +4Functional Magnetic Resonance ImagingGenome-Wide Association Study

    D. Bradley McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, US. · Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, US. · Department of Electrical and Computer Engineering, Texas A&M University, College Station, US. +1

  4. W2Rep: Learning Visual Representations by Watching the World Change

    Sep 28, 2026Wen Huang, Hang Guo, Jiarui Yang +3Fine-Grained Video UnderstandingVision Encoders

    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Nankai University, Tianjin, China · Shenzhen University, Shenzhen, China

  5. Learning a Flow to Self-Supervised Representations

    Sep 24, 2026Yuling Jiao, Wensen Ma, Houduo Qi +1Self-Supervised RepresentationsImagenet

    School of Artificial Intelligence, National Center for Applied Mathematics in Hubei, Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, China. · Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China. · Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China.

  6. Sharp Rates and a One-Line Correction for Spectral Representation Learning

    Sep 14, 2026Dier Tang, Jing Yee Tan, Guangyue HanSelf-Supervised RepresentationsSubspace

    Department of Mathematics, The University of Hong Kong

  7. Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications

    Sep 1, 2026S. Sifaoui, E. Angelini, S. Toupin +2Self-Supervised RepresentationsDense Prediction

    LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France · MIRACL.ai Laboratory, Hôpital Universitaire Lariboisière (AP-HP), Paris, France · Université Paris Cité, Inserm MASCOT, Paris, France

  8. Foundation Models are Implicit Deepfake Detectors

    Aug 10, 2026Stefan Smeu, Dragos-Alexandru Boldisor, Elisabeta Oneata +1Deepfake DetectionUnsupervised Detection

    1Bitdefender, Romania · 2POLITEHNICA Bucharest

  9. Three Necessary Principles for Self-Supervised Visual Representation Learning

    Aug 8, 2026Nikos Giakoumoglou, Paschalis Giakoumoglou, Tania StathakiSelf-Supervised RepresentationsSelf-Supervised Learning

    Imperial College London · CERTH, ITI

  10. Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning

    Aug 5, 2026Xuehang Guo, Pengyuan Li, Tom Hope +3Self-Supervised RepresentationsImage-To-Code Generation

    William & Mary · IBM · Allen Institute for AI +2

  11. Self-Supervised Representation-Guided Generative Dataset Distillation

    Aug 4, 2026Mingzhuo Li, Guang Li, Linfeng Ye +4Diffusion-Based Dataset DistillationDataset Distillation

    Hokkaido University, Japan · University of Toronto, Canada · University of Tokyo, Japan

  12. Self-Supervised Representations for Binary Program Clustering: From Empirical Study to Retrieval-Augmented Learning

    Aug 3, 2026Martin Mocko, Daniela ChudáMalwareClustering

    Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic · Kempelen Institute of Intelligent Technologies (KInIT), Bratislava, Slovakia · Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Slovakia

  13. Can Tokens Compete? Token Representations against Supervised CNN Backbones for BirdCLEF+ 2026

    Jul 16, 2026Anthony Miyaguchi, Murilo Gustineli, Adrian CheungAnimal VocalizationsPassive Acoustic Monitoring

    Georgia Institute of Technology, 225 North Ave NW, Atlanta, GA 30332 · 1Georgia Institute of Technology, 225 North Ave NW, Atlanta, GA 30332

  14. Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training?

    Jul 14, 2026Nusrat Munia, Tyler Ward, Nishat Nayla +2Self-Supervised LearningSelf-Supervised Representations

    Department of Computer Science University of Kentucky Lexington, KY 40506, USA · Kentucky Geological Survey University of Kentucky Lexington, KY 40506, USA

  15. Probing Geospatial SSL Representations with Environmental Signals

    Jul 6, 2026Rohita Mocharla, Vishal M. PatelGeospatial Foundation ModelsSelf-Supervised Representations

    Johns Hopkins Applied Physics Laboratory · Johns Hopkins University · Laurel, MD +1

  16. Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention

    Jul 2, 2026Weichen Zhou, Yawen Zou, Chunzhi Gu +3Self-Supervised Vision TransformersVision Transformer

    University of Toyama, Toyama, Japan · University of Fukui, Fukui, Japan · Chukyo University, Aichi, Japan +1

  17. Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +4Self-Supervised RepresentationsRobotic Manipulation

    Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, School of Computer Science & Technology, Beijing Jiaotong University, China · CSSC Intelligent Innovation Research Institute, China and Zhejiang University, China

  18. A Mechanism-Driven Theory of Phase Transitions in Active Learning

    Jun 30, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziActive LearningLearnability

    Pioneer Centre for AI, University of Copenhagen, Copenhagen, Denmark

  19. LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving

    Jun 29, 2026Chen Yang, Yuhao Wei, Ze Xu +6Autonomous DrivingClassical Planning

    Chongqing University

  20. What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations

    Jun 24, 2026Samuel Pagon, Yixuan Shen, Vishal Asnani +1Deepfake DetectionDigital Forensics

    Department of Computer Science, Drexel University · Adobe Research

  21. From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations

    Jun 24, 2026Dianjing Fan, Yao Li, Kyaw Hpone Myint +4BankingText Embeddings

    Capital One McLean, VA, USA

  22. Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation

    Jun 22, 2026Sylwia Majchrowska, Philip TeareEchocardiographyLeft-Ventricular Ejection Fraction

    aR&D Data ScienceSylwiaSkills &Majchrowskaa,Partnership, DataPhilipScienceTeareb& AI, BioPharma R&D, AstraZeneca, Pepparedsleden 1, Mölndal, 431 83, Sweden · bCentre for AI, Data Science & AI, BioPharma R&D, AstraZeneca, BiomedicalJun Campus, 1 Francis Crick Ave, Trumpington, Cambridge, CB2 0AA, UK

  23. You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences

    Jun 14, 2026Ninad Daithankar, Alexi Gladstone, Yann LeCun +1Self-Supervised RepresentationsPhotometric Supervision

    1UIUC · 2New York University

  24. RePAIR: Predictive Self-Supervised Representation Learning in Chess

    Jun 10, 2026Christoph Koller, Johannes Fürnkranz, Timo BertramChessSelf-Supervised Representations

    JKU Linz, Austria

  25. What Do Deepfake Speech Detectors Actually Hear?

    Jun 9, 2026Vojtěch Staněk, Veronika Jirmusová, Anton Firc +3Audio Deepfake DetectionSpeaker

  26. Multilingual Word-Level Forced Alignment with Self-Supervised Representations and Learned Dynamic Programming

    Jun 9, 2026Roy Weber, Meidan Zehavi, Rotem Rousso +1Motion-Language AlignmentMultilingual Automatic Speech Recognition

    Faculty of Electrical and Computer Engineering, Technion – Israel Institute of Technology, Haifa, 3200003, Israel

  27. SSL-GMMVC: Interpretable Voice Conversion via Locally Linear GMM Transforms in Self-Supervised Representation Space

    Jun 9, 2026Tomoya Tanabu, Hiroshi Nishijima, Daisuke Saito +1Self-Supervised Speech ModelsVoice Conversion

    The University of Tokyo, Japan

  28. Momentum-Guided Semantic Forecasting (MoFore) for Self-Supervised Video Representation Learning

    Jun 8, 2026Qinwu XuSelf-Supervised RepresentationsFuture Video Prediction

    ∗This work was independently developed during Early Feb –Mid April 2026.

  29. Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles

    Jun 8, 2026Xiao Li, Yixuan Jia, Zekai Zhang +6Self-Supervised RepresentationsDiffusion Models

    University of Michigan · 1Ohio State University

  30. HybridCodec: Fast Dual-Stream, Semantically Enhanced Neural Audio Codec

    Jun 4, 2026Arjun Gangwar, S UmeshNeural Audio CodecsAffectcodec

    Indian Institute of Technology, Madras, India

  31. Learning Contact Representation for Leg Odometry

    Jun 3, 2026Emre Girgin, Cagri KilicGround Reaction ForcesOdometry

    Department of Aerospace Engineering · Embry Riddle Aeronautical University · United States

  32. IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension

    Jun 2, 2026Julie Mordacq, Vicky Kalogeiton, Steve OudotSelf-Supervised RepresentationsIntrinsic Dimensionality

    Inria Saclay 2LIX, CNRS, École Polytechnique, IP Paris

  33. Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation

    May 30, 2026Hugues Van Assel, Edward De Brouwer, Saeed Saremi +2Generative ModelsFew-Step Generation

    Genentech

  34. HiERO-StepG @ Ego4D Step Grounding Challenge: hierarchical activity understanding enables zero-shot step grounding

    May 29, 2026Andrea Zenotto, Simone Alberto Peirone, Francesca Pistilli +1Fine-Grained ActionsGrounding

    Politecnico di Torino

  35. Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning

    May 27, 2026Jiyao Wang, Peiyu Duan, Nicha C. Dvornek +4Multimodal NeuroimagingFunctional Magnetic Resonance Imaging

    Department of Biomedical Engineering, Yale University, New Haven, CT, USA · Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA · Electrical Engineering, Yale University, New Haven, CT, USA +1

  36. CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision

    May 13, 2026Xuanhao Luo, Zhizhen Li, Yuchen LiuChannel State InformationSelf-Supervised Representations

    North Carolina State University, USA

  37. CalibFree: Self-Supervised View Feature Separation for Calibration-Free Multi-Camera Multi-Object Tracking

    May 10, 2026Ruiqi Xian, Deep Patel, Iain Melvin +3Multi-Object TrackingCamera Intrinsics

    University of Maryland, College Park, MD, USA · NEC Laboratories America, Princeton, NJ, USA · University of North Carolina, Greenboro, NC, USA

  38. Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions

    May 8, 2026Marwane Hariat, Antoine Manzanera, David FilliatOptical FlowDense Prediction

    1U2IS, ENSTA Paris, Institut Polytechnique de Paris, Palaiseau, France · 2INRIA FLOWERS

  39. Deepfake Audio Detection Using Self-supervised Fusion Representations

    May 5, 2026Khalid Zaman, Qixuan Huang, Muhammad Uzair +1Audio UnderstandingSelf-Supervised Representations

    Graduate School of Advanced Science and Technology · Japan Advanced Institute of Science and Technology · 1-1 Asahidai, Nomi, Ishikawa, Japan 923-1292

  40. Why Self-Supervised Encoders Want to Be Normal

    Apr 30, 2026Yuval DombSelf-Supervised RepresentationsInformation Bottleneck

  41. Self-Supervised Representation Learning via Hyperspherical Density Shaping

    Apr 27, 2026Esteban Rodríguez-Betancourt, Edgar Casasola-MurilloSelf-Supervised RepresentationsDiscriminative Congruence Transform

    Posgrado en Computación e Informática · Universidad de Costa Rica · Escuela de Ciencias de la Computación

  42. Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval

    Apr 27, 2026Esteban Rodríguez-Betancourt, Edgar Casasola-MurilloComposed Image RetrievalSelf-Supervised Representations

    Posgrado en Computación e Informática Universidad de Costa Rica · Escuela de Ciencias de la Computación Universidad de Costa Rica

  43. Predict and Reconstruct: Joint Objectives for Self-Supervised Language Representation Learning

    Apr 16, 2026Aimen BoukhariJoint-Embedding Predictive ArchitecturesLatent Prediction

    ´Ecole Nationale Sup´erieure d’Informatique (ESI), Algiers , Algeria

  44. Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers

    Apr 9, 2026Danit Yanowsky, Daphna WeinshallReplay-Based Continual LearningContinual Learning

    School of Computer Science and Engineering The Hebrew University of Jerusalem

  45. Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps

    Mar 16, 2026Kim Ouan, Noémie Moreau, Katarzyna BozekMicroscopySemi-Supervised Medical Image Segmentation

    Faculty of Mathematics and Natural Sciences, University of Cologne, Germany · Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany · Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany +1

  46. 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 CodecsAudio Understanding

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

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

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

    Posgrado en Computación e Informática, Universidad de Costa Rica, San José, Costa Rica · Escuela de Ciencias de la Computación e Informática, Universidad de Costa Rica, San José, Costa Rica

  48. MTV: Revisiting Multi-Task Visual Representation Learning

    Jan 20, 2026Shangzhe Di, Zhonghua Zhai, Weidi XieSelf-Supervised Representations

    SAI, Shanghai Jiao Tong University · ByteDance Seed

  49. Patent Representation Learning via Self-supervision

    Nov 3, 2025You Zuo, Kim Gerdes, Éric de la Clergerie +1PatentSelf-Supervised Representations

    ALMAnaCH · Inria Paris, France · Questel Paris, France +2

  50. AdaDim: Dimensionality Adaptation for SSL Representational Dynamics

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

    Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA 30308

  51. Bringing Generative Learning to Representation Learning: Self-Supervised Transfer Learning as Distribution Matching

    Feb 20, 2025Yuling Jiao, Wensen Ma, Defeng Sun +2Self-Supervised RepresentationsRepresentation Learning

    School of Artificial Intelligence, Wuhan University, 430072, Wuhan, China · School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, China · Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China +2

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

    Feb 28, 2022Paritosh Parmar, Amol Gharat, Helge RhodinSelf-Supervised RepresentationsPhysical Activities

    University of British Columbia · FlexAI Inc.

  53. DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

    Date pendingGuiqiu Liao, Matjaž Jogan, Daniel A. HashimotoDense PredictionSparse Supervision

    GRASP Laboratory, University of Pennsylvania · PCASO Laboratory, Department of Surgery, University of Pennsylvania · Department of Computer and Information Science, University of Pennsylvania