Representation Learning

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Overview

Representation learning studies how to turn raw data—such as images, text, graphs, time series, and sensor signals—into features that make important patterns easier to use. Common approaches include contrastive and masked prediction, autoencoders, predictive latent models, sparse coding, and methods that impose structure such as geometry, hierarchy, or disentangled subspaces. Good representations can reduce label needs and support transfer across tasks, domains, and modalities, with evaluations spanning linear probes, retrieval, classification, and downstream control. A central tension is that compression and invariance can discard information a later task needs, so no single objective or representation geometry works best across settings.

Latest papers

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804 papers133 papers in the last four weeks, up 102% on the four weeks before. 0.8% of all new papers.

  1. MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms

    Jul 3, 2026Saiyang Feng, Yuanyun Zhang, Shi LiSelf-Supervised Time Series Representation LearningCross-Modal Representation Learning

    University of the Chinese Academy of Sciences · Columbia University

  2. Lacuna Inc. at SemEval-2026 Task 4: Structurally Gated State-Space Models for Disentangling Narrative Similarity

    Jul 3, 2026Aleksey Kudelya, Rafif Alshawi, Alexander ShirninSemantic Textual SimilarityRepresentation Learning

    ïHSE University

  3. Mask-supervised Object-centric Representation Learning with LeJEPA

    Jul 2, 2026Jakob Geusen, Ender KonukogluContrastive LearningRepresentation Learning

    Biomedical Image Computing Group, ETH Zurich

  4. Role-Aware Neural Convex Divergence Heads for Asymmetric Representation Learning

    Jul 2, 2026He Huang, Lu Shen, Yunfeng Huang +1Representation LearningFunctional Bregman Divergences

    School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, 400067, China · School of Food Science, Chongqing Technology and Business University, Chongqing,2026 400067, China · Faculty of Electrical EngineeringUniversity, andDortmund,InformationGermanyTechnology, TU Dortmund +1

  5. Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score

    Jul 1, 2026Yang Xiang, Philipp Götz, Emanuël A. P. Habets +3Audio Representation LearningRepresentation Learning

    Centre for Vision Speech and Signal Processing, University of Surrey, United Kingdom · International Audio Laboratories Erlangen∗, Erlangen, Germany · Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany

  6. Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games

    Jul 1, 2026Kevin Wang, Kevin Yang, Arjun Prakash +1Representation LearningImperfect-Information Games

    Brown University

  7. BIFROST: Bridging Invariant Feature Representation for Observation-space Sim2Real Transfer

    Jul 1, 2026Yunfu Deng, Josiah P. HannaZero-Shot LearningRobot Policy Learning

    Department of Computer Sciences, University of Wisconsin–Madison, Madison, WI 53706 USA

  8. Mirror-Fusion Attention for Reflection-Aware Self-Supervised Representation Learning

    Jul 1, 2026Ruixin Li, Jin Liu, Yuling Shi +1Representation LearningVision Transformer

    Department of Computer Science and Engineering, University of Bologna, Bologna, Italy · Jilin University, Changchun, China · Shanghai Jiao Tong University, Shanghai, China

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

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +4Representation LearningRepresentation Learning for RL

    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

  10. FrameONE: Hierarchical Motion Modeling for Universal Multi-View Echocardiographic Keyframe Detection

    Jul 1, 2026Rusi Chen, Yuhao Huang, Hongyuan Zhang +4Representation LearningMulti-View Learning

    Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, China · Centre for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hongkong, China · School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China +2

  11. Identifying Latent Concepts and Structures for Generalized Category Discovery

    Jul 1, 2026Boyang Dai, Chaoqi Chen, Yizhou YuRepresentation LearningVisual Representation Learning

    1The University of Hong Kong · 2Shenzhen University

  12. The Illusion of High Utility in Safety Alignment of Text-to-Image Diffusion Models

    Jul 1, 2026Adeel Yousaf, Soumik Ghosh, James Beetham +2Diffusion Model AlignmentRepresentation Learning

    Institute of Artificial Intelligence University of Central Florida, Orlando, United States

  13. Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval

    Jul 1, 2026Jingjing Zhang, Lei Zhang, Zheren Fu +1Representation LearningCompositional Representation Learning

    University of Science and Technology of China, Hefei, China

  14. Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts

    Jun 30, 2026Geeling Chau, Ran Liu, Juri Minxha +5Representation LearningCross-Domain Transfer Learning

    California Institute of Technology, Pasadena, CA, USA · Apple, Cupertino, CA, USA

  15. FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning

    Jun 30, 2026Zekai Chen, Kairui Yang, Xuaner Chen +4Multimodal Federated LearningRepresentation Learning

    Beijing Institute of Technology, Beijing, China

  16. MuSViT: A Foundation Vision Model for Sheet Music Representation

    Jun 30, 2026Carlos Penarrubia, Antonio Rios-Vila, Eliseo Fuentes-Martinez +4Optical Music RecognitionRepresentation Learning

    Pattern Recognition and Artificial Intelligence Group, University of Alicante, Spain

  17. GaussianMap: Learning Gaussian Representation for Multi-Sensor Online HD Map Construction

    Jun 30, 2026Hongyu Lyu, Julie Stephany Berrio Perez, Mao Shan +1Representation LearningHD Map Construction

    The University of Sydney, Australian Centre for Robotics, Sydney, Australia. · The University of Queensland, Australia.

  18. SGD Provably Prioritizes a Shortcut Spurious Feature in the XOR Model

    Jun 29, 2026Tyler LaBonte, Vidya MuthukumarRepresentation LearningReLU Neural Networks

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology · School of Electrical and Computer Engineering, Georgia Institute of Technology

  19. Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation

    Jun 29, 2026Seunghun Baek, Jihwan Park, Jaeyoon Sim +3Representation LearningMultimodal Robustness

    Pohang University of Science and Technology, Pohang, South Korea

  20. Predictive Objectives Discard Exogenous Control-Relevant Features: A Controlled Mechanistic Study

    Jun 29, 2026Ayan PendharkarRepresentation LearningJoint-Embedding Predictive Architecture

  21. Heterogeneous Tactile Transformer

    Jun 29, 2026Jianxin Bi, Qiang Wang, Jayaram Reddy +4Representation LearningMultimodal Pretraining

    National University of Singapore · Carnegie Mellon University · Smart Systems Institute, NUS

  22. ScaleAware-JEPA: Latent Representation for Discovery in Multiscale Physical Fields

    Jun 29, 2026Guang-Xing LiRepresentation LearningJoint-Embedding Predictive Architecture

  23. ReMAP-PET: Beyond Visual Understanding -- Learning Region-Guided Metabolic Alignment Semantics from Brain PET

    Jun 28, 2026Dasen Dai, Yanteng Zhang, Shuoqi Li +6Representation LearningPET/CT Imaging

    The Chinese University of Hong Kong, HKSAR · TReNDS Center (Georgia State, Georgia Tech, Emory), Atlanta, USA · ShanghaiTech University, Shanghai, P.R.China +3

  24. CellDETR: A Detection-Guided Framework for Scalable Cell Representation Learning from Histopathology Images

    Jun 28, 2026Shikang Zhang, Guojun Li, Yicong Mao +1Representation LearningDetection Transformer

    Zhejiang University of Technology · Tianjin University · Hangzhou Institute of Medicine, Chinese Academy of Sciences

  25. Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation

    Jun 27, 2026Carel F. W. PeetersRepresentation LearningLatent Variable Models

    Mathematical & Statistical Methods group – Biometris, Wageningen University & Research

  26. PinNet: Keypoint-Aware Learned Local Descriptors with Geometric Embedding for Loop Closure in LiDAR SLAM

    Jun 26, 2026Yanlong Ma, Nakul S. Joshi, Christa S. Robison +2Simultaneous Localization and MappingRepresentation Learning

    University of California, Los Angeles, Los Angeles, CA, USA. · DEVCOM Army Research Laboratory (ARL), Adelphi, MD, USA.

  27. Textual Belief States for World Models: Identifiable Representation Learning Under Strict Mediation

    Jun 26, 2026Xiang Gao, Kaiwen Dong, Yuguang Yao +2Representation LearningGroup Relative Policy Optimization

    Intuit AI Research

  28. ReWorld: Learning Better Representations for World Action Models

    Jun 25, 2026Tianze Xia, Lijun Zhou, Kaixin Xiong +9Representation LearningWorld Model Learning

    Huazhong University of Science and Technology · Xiaomi EV

  29. See & Sniff: Learning Visuo-Olfactory Representations

    Jun 25, 2026Seongyu Kim, Seungwoo Lee, Hyeonggon Ryu +2Representation LearningCross-Modal Representation Learning

    Korea Advanced Institute of Science and Technology, Korea · Hankuk University of Foreign Studies, Korea · Ulsan National Institute of Science and Technology, Korea

  30. Ordinal Neural Collapse as a Representation Prior for Visual Navigation

    Jun 25, 2026E-In Son, Jung-Taak Kim, Seung-Woo SeoRepresentation LearningRobot Navigation

    Dept. of ECE & ASRI, Seoul National University, Korea