Unsupervised Representation Learning

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  1. When Does Unsupervised Learning Succeed or Fail? A PoS Perspective on Reconstruction-Based Anomaly Detection

    Sep 23, 2026Mehmet Yamaç, Yagmur Mustu, Muhammad Numan Yousaf +2Unsupervised Representation LearningReconstruction-Based Anomaly Detection

    Tampere University, Tampere, Finland · Radboud University, Nijmegen, The Netherlands

  2. A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites

    Sep 3, 2026Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1Unsupervised Representation LearningWireless Communications

    African Institute for Mathematical Sciences (AIMS), Cape Town, South Africa · Technology Strategy Planning Architecture & Assurance. Vodacom Group Limited, South Africa · Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa +3

  3. An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data

    Sep 3, 2026Lucas de Oliveira Cunha, Joelton Deonei Gotz, Paulo Lisboa de Almeida +1Ensemble LearningAutonomous Parking

    Universidade Federal do Paraná, Department of Informatics, Curitiba, Paraná, Brazil · Pontifícia Universidade Católica do Paraná, Graduate Program in Informatics (PPGIa), Curitiba, Paraná, Brazil

  4. Towards unsupervised representation learning for quantum data: quantum models with inference and generation

    Aug 31, 2026Robin Lorenz, Eric Brunner, Marcello BenedettiLatent Variable ModelsQuantum Generative Modeling

    Quantinuum, London, United Kingdom

  5. MASQ: Mask-Aware Spatiotemporal Quantization for Unsupervised Skeleton Action Segmentation

    Aug 30, 2026Xinyao Qin, Linxiang Peng, Youbao Ye +2Temporal Action SegmentationUnsupervised Representation Learning

    University of Science and Technology of China, China

  6. Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data

    Aug 29, 2026Thiago César Castilho Almeida, Gustavo Rosseto Letício, Lucas Pascotti Valem +2Graph Representation LearningUnsupervised Representation Learning

    Department of Statistics, Applied Math. and Computing, State University of S˜ao Paulo (UNESP), Rio Claro, Brazil · Institute of Mathematical Sciences and Computing, University of S˜ao Paulo (USP), S˜ao Carlos, Brazil · Department of Computer Science, University of Manchester, Manchester, United Kingdom +1

  7. Hyperbolic Graph Embedders for Link Prediction and Topology Reconstruction

    Aug 7, 2026Robert Jankowski, Maksim Kitsak, Dorota Celińska-KopczyńskaLink PredictionUnsupervised Representation Learning

    TU Delft · Indiana University · Institute of Informatics, University of Warsaw

  8. Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction

    Aug 7, 2026Gregor Molan, Grafika Jati, Francesco Barchi +3RUL EstimationUnsupervised Representation Learning

    Comtrade 360 d.o.o., Letališka cesta 29b, Ljubljana, 1000, Slovenia · Comtrade AI GmbH, Grafenauweg 8, Zug, 6300, Switzerland · Alma Mater Studiorum – Università di Bologna, Department of Electrical, Electronic, and Information Engineering (DEI), Viale del Risorgimento 2, Bologna, 40136, Italy +2

  9. Convergent Evolution in Neural Representation Space: Emergent Order in Deep Belief Networks

    Aug 6, 2026Patrick Krauss, Achim Schilling, Andreas Maier +2Representation GeometryHierarchical Representation Learning

    Cognitive Computational Neuroscience Group, Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany · Neuromodulation and Neuroprosthetics, University Hospital Mannheim, University Heidelberg, Germany · Neuroscience Lab, University Hospital Erlangen, Germany +1

  10. Unsupervised Multidomain Approaches to Named Entity Recognition with Small Datasets

    Aug 2, 2026Israel Fianyi, James Montgomery, Soonja YeomNamed Entity RecognitionUnsupervised Representation Learning

    School of Information Communication Technologies, University of Tasmania, Launceston, Tasmania, Australia · School of Information Communication Technologies, University of Tasmania, Hobart, Tasmania Australia

  11. From transcription to semantic corpus analysis: unsupervised learning of sentence representations for ancient languages

    Jul 27, 2026Th{é}otime de la SelleSemantic Textual SimilaritySentence Embeddings

    ISC, HiSoMA, CNRS · Institut des Sources Chrétiennes, HiSoMA, CNRS, Lyon, France

  12. PolarBM: Complex-valued Boltzmann Machine for Modeling Audio Signals in Polar and Log-polar Coordinates

    Jul 14, 2026Toru Nakashika, Kohei YatabeUnsupervised Representation LearningComplex-Valued Neural Networks

    Graduate School of Informatics and Engineering, the University of Electro-Communications, Tokyo 182-8585, Japan · Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan

  13. Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

    Jul 11, 2026Max Weinmann, Miriam KlopotekAutoencodersUnsupervised Representation Learning

    1WIN-Kolleg of the Young Academy | Heidelberg Academy of Sciences and Humanities, Karlstraße 4, 69117 Heidelberg, Germany · 2Stuttgart Center for Simulation Science, Cluster of Excellence EXC 2075, University of Stuttgart, Universitätsstraße 32, 70569 Stuttgart, Germany

  14. Unpaired Joint Distribution Modeling via Multi-Scale Image Representations

    Jul 9, 2026Yihang Zou, Hui Zhang, Zuowei Shen +1Visual Representation LearningUnsupervised Representation Learning

    Yau Mathematical Sciences Center and Department of Mathematical Sciences, Tsinghua University, Beijing, China · Qiuzhen College, Tsinghua University, Beijing, China · Department of Mathematics, National University of Singapore, Singapore +1

  15. Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces

    Jul 6, 2026Jeanie Schreiber, Tyrus Berry, Zeeshan AhmedRepresentation LearningPrincipal Component Analysis

    Department of Mathematical Sciences George Mason University Fairfax, VA 22030, USA · Sensor Science Division, Physical Measurement Laboratory NIST Gaithersburg, MD 20899, USA

  16. Unsupervised Features Mining via Activation Geometry

    Jul 5, 2026Amit LeVi, Elad David, Max FominLLM InterpretabilityUnsupervised Representation Learning

    Zenity Tel Aviv, Israel

  17. Memory-Augmented LSTM Autoencoder for Unsupervised Activity Recognition with IMU Sensor Fusion

    Jun 19, 2026Saeid Arabzadeh, Farshad Almasganj, Mohammad Mahdi AhmadiHuman Activity RecognitionAutoencoders

    Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

  18. Deep Image Prototype Learning with Geometric Heat-Kernel Priors

    Jun 17, 2026Jiarui Xing, Tal Zeevi, Nian Wu +1Medical Image AnalysisPrototype Learning

    Yale School of Medicine, New Haven CT, 06510, USA · University of Virginia, Charlottesville, VA, 22903, USA · Harvard Medical School, Boston MA, 02115, USA

  19. UoU: A Universal Fingerprint Foundation Model Based on Large-Scale Unsupervised Learning

    Jun 16, 2026Xiongjun Guan, Jianjiang Feng, Jie ZhouBiometric IdentificationRepresentation Learning

    Department of Automation, Tsinghua University, Beijing 100084, China

  20. Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records

    Jun 10, 2026Feiqing Huang, Zongqi Xia, Rong Ma +1Unsupervised Representation LearningTransfer Learning

    Department of Biostatistics, Harvard T.H. Chan School of Public Health · Department of Neurology, University of Pittsburgh · Department of Data Science, Dana-Farber Cancer Institute +1

  21. Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion

    Jun 8, 2026Rafael Rivera Soto, Barry Chen, Nicholas AndrewsRepresentation LearningAI-Generated Text Detection

    1Lawrence Livermore National Laboratory · 2Johns Hopkins University

  22. Disentanglement with Holographic Reduced Representations

    Jun 8, 2026Jhonny J. Velasquez Olivera, Christo K. Thomas, Walid SaadDisentangled Representation LearningUnsupervised Representation Learning

    Virginia Tech · Worcester Polytechnic Institute

  23. Implicit Data Synthesis for Contrastive Unsupervised Data Augmentation

    Jun 5, 2026Patrick Kage, Trevor Hedges, N. Siddharth +1Contrastive LearningSynthetic Data Augmentation

    School of Informatics The University of Edinburgh Edinburgh, Scotland EH8 9AB UK · Massachusetts Institute of Technology Lincoln Laboratory Lexington, MA 02421 USA

  24. BBOmix: A Tabular Benchmark for Hyperparameter Optimization of Unsupervised Biological Representation Learning

    Jun 3, 2026Luca Thale-Bombien, Jan Ewald, Ralf König +1Representation LearningAutoencoders

    Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig University · ELLIS Institute Tübingen

  25. Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data

    Jun 3, 2026Jannik Presberger, Alexander Männel, Maynard Koch +3Contrastive LearningUnsupervised Clustering

    1TU Dresden · 2HAW Hamburg · Center for Scalable Data Analytics and AI Dresden/Leipzig

  26. FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression

    Jun 2, 2026Jiajie Li, Yu Liu, Rencheng Song +2Remote PhotoplethysmographyUnsupervised Representation Learning

    Department of Biomedical Engineering, and also with Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei 230009, China · Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230026, China

  27. Flexible Online Representation Learning Based on Similarity Matching

    Jun 1, 2026Shagesh Sridharan, Yanis Bahroun, Anirvan M. SenguptaUnsupervised LearningRepresentation Learning

    Physics and Astronomy Rutgers University New Brunswick, NJ, USA · CCM, CCN Flatiron Institute, Simons Foundation New York, NY, USA

  28. ARMA-C3: A Contrastive ARMA Convolutional Framework for Unsupervised and Semi-supervised Classification

    May 25, 2026VSS Tejaswi Abburi, Saurabh J. Shigwan, Nitin KumarGraph Neural NetworksUnsupervised Representation Learning

    Department of Computer Science and Engineering, Shiv Nadar Institute of Eminence Deemed to be University, Delhi NCR, India

  29. StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery

    May 25, 2026Yuan-Hao WeiDisentangled Representation LearningUnsupervised Representation Learning

  30. Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry

    May 19, 2026Pablo Marcos-Manchón, Rishi Jha, Lluís FuentemillaNeural Representation GeometryUnsupervised Representation Learning

    Department of Cognition, Development and Education Psychology, University of Barcelona · Institute of Neurosciences, University of Barcelona · Department of Computer Science, Cornell University +1

  31. Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing

    May 19, 2026Valentina Njaradi, Clémentine Dominé, Rachel Swanson +2Neural Network GeneralizationLinear Probing

    Gatsby Computational Neuroscience Unit · University College London · Institute of Science and Technology Austria +1

  32. Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines

    May 18, 2026Giovanni di Sarra, Yasser RoudiUnsupervised Representation LearningNeural Network Activation Functions

    Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, 7491 Trondheim, Norway · Department of Mathematics, King’s College London, London, Strand, WC2R 2LS, UK

  33. Efficient coding along the visual hierarchy

    May 18, 2026Ananya Passi, Brian S. Robinson, Michael F. BonnerUnsupervised LearningNeural Processes

    Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA · Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD, USA

  34. UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models

    May 17, 2026Hyunju Kang, Geonhee Han, Hogun ParkCounterfactual ExplanationsUnsupervised Representation Learning

    Department of Artificial Intelligence Sungkyunkwan University Suwon, Republic of Korea

  35. Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling

    May 13, 2026Gaurav Rudravaram, Lianrui Zuo, Karthik Ramadass +17Variational AutoencodersLatent Variable Models

    Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA

  36. From Generalist to Specialist Representation

    May 12, 2026Yujia Zheng, Fan Feng, Yuke Li +3Unsupervised LearningDisentangled Representation Learning

    1CMU · 2UIUC · 3UCSD +3

  37. NARA: Anchor-Conditioned Relation-Aware Contextualization of Heterogeneous Geoentities

    May 12, 2026Jina Kim, Gengchen Mai, Lingyi Zhao +2Geospatial Representation LearningUnsupervised Representation Learning

    Department of Computer Science and Engineering, University of Minnesota, Minnesota, USA · Department of Geography and the Environment, University of Texas at Austin, Texas, USA · Novateur Research Solutions, Virginia, USA

  38. Learnability and Competition in High-Dimensional Multi-Component ICA

    May 8, 2026Eser Ilke Genc, Samet Demir, Zafer DoganIndependent Component AnalysisUnsupervised Representation Learning

    MLIP Research Group, KUIS AI Center, Koç University · Department of EEE, Koç University

  39. Structured Coupling for Flow Matching

    May 8, 2026Xavier Sumba, Carles Balsells-Rodas, Yingzhen LiFlow MatchingDisentangled Representation Learning

    Imperial College London

  40. MD-Face: MoE-Enhanced Label-Free Disentangled Representation for Interactive Facial Attribute Editing

    Apr 22, 2026Xuan Cui, Yunfei Zhao, Bo Liu +2Disentangled Representation LearningUnsupervised Representation Learning

  41. Unsupervised Learning of Inter-Object Relationships via Group Homomorphism

    Apr 22, 2026Kyotaro Ushida, Takayuki Komatsu, Yoshiyuki Ohmura +1Disentangled Representation LearningRepresentation Learning

    Mechano-Informatics Department, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo 113-8656, Japan

  42. Diverse Dictionary Learning

    Apr 19, 2026Yujia Zheng, Zijian Li, Shunxing Fan +2Latent Variable ModelsRepresentation Identifiability

    CMU · MBZUAI · NYU

  43. Causal Bootstrapped Alignment for Unsupervised Video-Based Visible-Infrared Person Re-Identification

    Apr 17, 2026Shuang Li, Jiaxu Leng, Changjiang Kuang +3Cross-Modal AlignmentUnsupervised Representation Learning

    School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

  44. Transfer Learning from Foundational Optimization Embeddings to Unsupervised SAT Representations

    Apr 16, 2026Koyena Pal, Serdar KadiogluUnsupervised Representation LearningTransfer Learning

    AI Center of Excellence, Fidelity Investments, USA · Khoury College of Computer Sciences, Northeastern University, USA · Department of Computer Science, Brown University, USA

  45. Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting

    Apr 10, 2026Tsuheng Hsu, Guiyu Liu, Juho Kannala +13D Gaussian SplattingUnsupervised Representation Learning

    Aalto University · University of Oulu

  46. SOMtime the World Ain′'t Fair: Violating Fairness Using Self-Organizing Maps

    Feb 20, 2026Joseph Bingham, Netanel Arussy, Dvir AranUnsupervised LearningAlgorithmic Fairness

    Faculty of Biology, Technion University · Taub Faculty of Computer Science, Technion University

  47. Can We Really Learn One Representation to Optimize All Rewards?

    Feb 11, 2026Chongyi Zheng, Royina Karegoudra Jayanth, Benjamin EysenbachUnsupervised LearningRepresentation Learning

    Princeton University

  48. Discovering Data Manifold Geometry through Geometric Properties

    Feb 2, 2026David Vigouroux, Lucas Drumetz, Ronan Fablet +1Unsupervised Representation LearningGeometric Representation Learning

    ANITI, IMT Atlantique - DSD, LaTIM · IRT Saint Exupery, ANITI, Toulouse, France · IMT Atlantique, LaTIM UMR 1101 INSERM, Brest, France +5

  49. Comparison of D-Wave Quantum Annealing and Gibbs Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine

    Aug 13, 2025Abdelmoula El-Yazizi, Yaroslav KoshkaMarkov Chain Monte CarloQuantum Annealing

    Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA

  50. OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection

    Jul 25, 2025Nicolas Pinon, Robin Trombetta, Carole LartizienMedical Image Anomaly DetectionUnsupervised Representation Learning

    MYRIAD