Representation Learning

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29 papers in the last four weeks, up 21% on the four weeks before. 0.3% of all new papers.

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  1. RepICL: Reusable In-Context Prediction Across Heterogeneous Representation Spaces

    Oct 5, 2026Yu-Hsiang Liu, Kuan-Yu Chen, Chih-Sheng Chen +3Few-Shot LearningIn-Context Learning

    SinoPac Holdings, Taipei, Taiwan

  2. 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

  3. Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models

    Oct 1, 2026Efstathios Karypidis, Spyros Gidaris, Nikos KomodakisLatent PredictionLatent World Models

    Archimedes, Athena Research Center, Greece · National Technical University of Athens · University of Crete +1

  4. Rethinking the Information Bottleneck: Structured Decomposition under Label-Induced Partitions

    Oct 1, 2026Jingyao Zhang, Yuxuan Li, Lu Han +2Information BottleneckRepresentation Learning

    School of Computer Science, The University of Sydney Sydney, NSW 2006, Australia

  5. Do Better Goal Representations Improve Goal-Conditioned Reinforcement Learning?

    Sep 30, 2026Syed Nazmus Sakib, Abdul Monaf Chowdhury, Nafiul Haque +2Goal-Conditioned Reinforcement LearningObject Goal Navigation

    Department of Robotics and Mechatronics Engineering, University of Dhaka, Bangladesh · Department of Computer Science, University of Oxford, UK

  6. Predicting Multi-View Rashomon Representation: Can We Learn Where Models Disagree?

    Sep 30, 2026Mingyue Ma, Zongbo Han, Changqing Zhang +1Wireless Foundation ModelsRepresentation Learning

    Beijing University of Posts and Telecommunications · Tianjin University

  7. Hyperbolic Prototype Routing for Rehearsal-Free Class-Incremental Learning

    Sep 30, 2026HongWei Zhao, Rui Liu, Yong ChenClass-Incremental LearningLearnable Prototypes

    Beihang University · Beijing University of Posts and Telecommunications

  8. Decoupled and Distilled: Task-Adaptive LoRA-Teachers with Ensemble Knowledge Transfer for Few-Shot Class-Incremental Learning

    Sep 30, 2026Hongwei Zhao, Rui Liu, Yansong Liu +2Class-Incremental LearningFew-Shot Learning

    School of Computer Science and Engineering, Beihang University · School of Computer Science, Beijing University of Posts and Telecommunications

  9. CellMSA: Context Modeling for Single-Cell Representation Learning

    Sep 30, 2026Suyuan Zhao, Minghao Liu, Yizhen Luo +1TranscriptomicsRepresentation Learning

    Institute for AI Industry Research (AIR), Tsinghua University · Department of Computer Science and Technology, Tsinghua University · Tsinghua Institute of Multidisciplinary Biomedical Research (TIMBR), Tsinghua University +2

  10. BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects

    Sep 30, 2026Ali Almutairi, Gelareh Mohammadi, Imran Razzak +1Arabic Natural Language ProcessingArabic

    University of New South Wales, Australia · MBZUAI, UAE

  11. What Makes High-Magnification Knowledge Transferable? A Study of Cross-Resolution Distillation in Whole-Slide Imaging

    Sep 29, 2026Zhiyuan Yang, Jiahao Cheng, Mahdi S. HosseiniWhole-Slide ImagesCross-Task Knowledge Transfer

    Department of Computer Science and Software Engineering (CSSE) Concordia University Montreal, Canada · Department of Computer Science and Software Engineering (CSSE) Concordia University Montreal, Canada Mila – Quebec AI Institute Montreal, Canada

  12. Adversarial Consistency-Guided Representation Learning for Multi-view Clustering

    Sep 28, 2026Yuchen Lin, Kunpeng Xu, Ying Fang +1Multi-ViewClustering

    School of Computer and Cyber Security, Fujian Normal University, Fuzhou 350000, China · Digital Fujian Internet-of-Things Laboratory of Environmental Monitoring, Fujian Normal University, Fuzhou 350000, China · School of Computer Science, McGill University, Montreal H3A 2A7, Quebec, Canada

  13. Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing

    Sep 28, 2026Huu Tan Mai, Cuong Xuan Chu, Heiko Paulheim +1Graph Neural NetworksKnowledge Graph Embeddings

    Bosch Center for Artificial Intelligence, Robert-Bosch-Campus 1, 71272 Renningen, Germany · University of Mannheim, Schloss, 68131 Mannheim, Germany

  14. Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers

    Sep 27, 2026Tongtong Liang, Siqi Kou, Ziqiao Xi +6Diffusion TransformersTransformer Residual Streams

    UC San Diego · Shanghai Jiao Tong University · Aether AI

  15. Multi-Marginal Inverse Optimal Transport for Contrastive Learning Via Explicit Anchor-Positive-Negative Coupling

    Sep 27, 2026Ngoc-Hai Nguyen, Thuan Nguyen, Prakash Ishwar +1Contrastive LearningOptimal Transport Approach

    Department of Electrical and Computer Engineering Tufts University · Department of Engineering, Engineering Technology East Tennessee State University · Department of Electrical and Computer Engineering Boston University

  16. PlenoCI: Plenoptic CharacterIstics for View Dependence Aware Change Classification

    Sep 24, 2026Jason Lai, Chamuditha Jayanga Galappaththige, Niko Suenderhauf +2Representation Learning

    Australian Centre for Robotics, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney · QUT Centre for Robotics · ARIAM Hub

  17. What Do Tabular Foundation Models Compute In Context? In-Situ Representation Refinement through Attention-Gated Updates

    Sep 23, 2026Tian Zhou, Beverly Jin, Linxiao Yang +6Tabular Foundation ModelsIn-Context Learning

    Ant Group · Independent Researcher

  18. Canonical locks that encode part-whole hierarchies

    Sep 22, 2026Rajat Modi, Yogesh Singh RawatRepresentation LearningHierarchical

    Department of Computer Science, University of Central Florida, United States.

  19. Graph Domain Adaptation Does Not End with Representation Learning

    Sep 22, 2026Ziqian Liu, Yongxue Xu, Enze Zhang +3Domain AdaptationRepresentation Learning

    Sun Yat-sen University, China · University of Wisconsin–Madison, USA · Jiangsu University, China +2

  20. CableVLA: Simulation-Privileged Global-Local Representation Learning for Cable Routing

    Sep 22, 2026Zhifei Teng, Bo Feng, Xiang Zou +4WiringVision-Language-Action Framework

    State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China. · School of Mathematics, Harbin Institute of Technology, Harbin, China.

  21. Tactile-JEPA: Topology-Aware Self-Supervised Representation Learning for Distributed Tactile Sensors

    Sep 21, 2026Elizaveta Kovtun, Matvey Konovalov, Andrey Sakhovskiy +1TactileGround Reaction Forces

    Sber AI, Moscow, Russia · Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia · HSE University, Moscow, Russia +1

  22. Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understanding

    Sep 21, 2026Yu-Ho Chang, Chi-Hsi Kung, Yi-Hsuan Tsai +1Object-Centric RepresentationsFine-Grained Video Understanding

    National Yang Ming Chiao Tung University · Atmanity Inc.

  23. PointEvent: Rethinking Event-based Tiny Object Detection via Serialized Motion Evidence Accumulation

    Sep 17, 2026Zongze Wu, Baofeng Jia, Weiqi Yan +4Drone DetectionObject Detection

    State key Lab of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, Nanjing University of Science and Technology, China · Jiangsu Key Lab of Visual Sensing and Intelligent Perception, Nanjing University of Science and Technology, China · Fujian Key Laboratory of Urban Intelligent Sensing and Computing, Xiamen University, China

  24. Hyper-RED: Scalable Event Pre-training via Semantic Hypergraph Distillation

    Sep 15, 2026Meisen Wang, Zhiqiang Tian, Wei Bao +3Spatial TokensRepresentation Learning

    School of Software Engineering, Xi’an Jiaotong University, Xi’an 710049, China · National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, China · BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing 100084, China +2

  25. Task-Directed Residual AddUNet:Perfect-Reconstruction Routing for Full-Rate Representations

    Sep 14, 2026Vikram R. LakkavalliU-NetAdditive-Residual Selective Invariance

    International Institute of Information Technology Bangalore, India

  26. Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints

    Sep 14, 2026Gwang-Hyeon Yun, Jong-Hoon Park, Bing Hu +3Molecular Representation LearningMolecular Property Prediction

    Yonsei University · Wonju-si, Republic of Korea · University of Waterloo +1

  27. When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning

    Sep 14, 2026Sean Bin Yang, Ying Sun, Zongyi Xu +6Multi-ViewCross-View

    Aalborg University, Aalborg, Denmark · Chongqing University of Posts and Telecommunications, Chongqing, China · East China Normal University, Shanghai, China

  28. DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning

    Sep 14, 2026Wenrui Xu, Anas Enanaa, Keshab K. ParhiSeizure DetectionRepresentation Learning

    University of Minnesota, Twin Cities

  29. InRTL: Effective Intra-Inter Interaction Learning for Relational Tables

    Sep 14, 2026Weichen Li, Ken Zhong, Zheng Wang +2Relational DatabasesTabular Data

    Shanghai Jiao Tong University Shanghai, China

  30. Towards a universal language of concepts: A survey

    Sep 7, 2026Aishni ParabRepresentation LearningLanguage Pairs

    Department of Computer Science UCLA

  31. Learning Kernels by Alignment for Multiclass Bayes Classification

    Sep 6, 2026Hollan Haule, Javier EscuderoMulticlass ClassificationKernel Method

  32. Vectorizing Classical Tamil: Representation Learning for Verse-Commentary Pairs

    Sep 4, 2026Amrit Gopinath, Sangeetha SivanesanRepresentation Learning

    Sri Sivasubramaniya Nadar College of Engineering, Chennai, India · National Institute of Technology Tiruchirappalli, Tamil Nadu, India

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

    Sep 3, 2026Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1Energy-EfficientMobile Networks

    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

  34. SignSeek: Learning Transferable Representations for Sign Dictionary Retrieval

    Sep 3, 2026Sobhan Asasi, Ozge Mercanoglu Sincan, Richard BowdenSign Language TranslationUnsupervised Dictionary Learning

    CVSSP, University of Surrey

  35. 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

  36. MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks

    Sep 1, 2026Ziyan Liu, Chengshuai Zhao, Huan LiuUnlearnable ExamplesGraph Representation Learning

    Harrisburg University of Science and Technology Harrisburg, Pennsylvania, USA · Arizona State University Tempe, Arizona, USA

  37. NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems

    Aug 31, 2026Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant ShenoyElectroencephalographyPrivacy

    University of Massachusetts Amherst · United States

  38. Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RL

    Aug 31, 2026Michal Korniak, Kamil Dybek, Benjamin Eysenbach +2Action ChunksAction Sequences

    ETH Zurich · University of Warsaw · Princeton University +3

  39. Learning Representations through Token Prediction: Geometry, Approximation, and Downstream Guarantees

    Aug 30, 2026Shulei WangNext-Token PredictionToken Embeddings

    Department of Statistics, University of Illinois at Urbana-Champaign, 605 E. Springfield Ave., Champaign, IL 61820

  40. Structural Hierarchy and Geometry in Molecular Representation Learning

    Aug 30, 2026David Sulu, Lorenzo Di Fruscia, Jana M. WeberMolecular Representation LearningMoleculenet

    Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands

  41. R2^2A: Learning Persona Policies Through Persona Representation Learning and Runtime Alignment

    Aug 30, 2026Mohan Zhang, Chengsong You, Xiaoyu Cao +4Behavioral Foundation ModelsArtificial Intelligence Alignment

    College of AI, Tsinghua University · 2Independent Researcher

  42. LiST: Local-Simplex Test-Time LoRA Fusion

    Aug 23, 2026Yihua Shao, Jia Li, Siyu Chen +12Low-Rank Adaptation AdaptersLarge Language Model Adaptation

    PolyU · CASIA · GDUT +7

  43. EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding

    Aug 13, 2026Shuailei Zhang, Muyun Jiang, Wei Zhang +5Electroencephalography Foundation ModelsElectroencephalography

    College of Computing and Data Science, Nanyang Technological University, Singapore · Southeast University, China · Centre for AI in Medicine, Nanyang Technological University, Singapore

  44. Dual-Manifold Geometry Guided Representation Learning: Adaptive Coupling between Kernel and Data Spaces

    Aug 13, 2026Wencong Zhang, Yue Zhang, Meiyan Huang +2Representation LearningEquivariant Learning

    School of Biomedical Engineering, Southern Medical University, China, Guangzhou 510515

  45. The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning

    Aug 13, 2026Ahmed Sameh, Ramzi Al-Sharawi, Yogatheesan VaratharajahElectrocardiogram Foundation ModelsRepresentation Learning

    Computer Science & Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455. · Robotics, University of Minnesota Twin Cities, Minneapolis, MN 55455.

  46. Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction

    Aug 12, 2026Zhongbin Guo, Jiahao Xie, Dongling Xiao +5Multimodal UnderstandingTransformer Architectures

    ByteDance

  47. Instruction Alignment for Binary Code Representation Learning

    Aug 12, 2026Huaijin Wang, Shuai WangRepresentation LearningSimilarity and Metrics

    Shandong University · Hong Kong University of Science and Technology

  48. Dual-Primal Graph VAEs for Noisy Label Aggregation

    Aug 11, 2026Patrick Stinson, Nikolaus KriegeskorteNoisy LabelsConditional Variational Autoencoder

    Zuckerman Institute Columbia University

  49. Gloss-Free Representation Learning for Cross-Dataset Sign Spotting

    Aug 11, 2026Oğuz Akif Tüfekcioğlu, Ezgi Ekin, Mustafa Kaan Çevik +1Representation LearningEncoders

    Hacettepe University, Ankara, Türkiye

  50. Capturing Uncertainty in Human Motion for Representation Learning in Soccer

    Aug 11, 2026Yizhou Xu, Lars Bretzner, Tiesheng Wang +1Human Motion PredictionHuman Motion

    KTH Royal Institute of Technology · EA Sports TRACAB

  51. FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data

    Aug 11, 2026Viktoria Schuster, Sana Tonekaboni, Caroline UhlerIntrinsic DimensionalityLow-Rank Structure

    Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA · Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, MA, USA · Technical University of Denmark, Lyngby, Denmark +1

  52. DINO-A: Adapting Self-Distillation Vision Transformers to General Audio Representation Learning

    Aug 11, 2026Tomasz Radzikowski, Mateusz Modrzejewski, Przemysław RokitaNeural AudioDino

    Warsaw University of Technology, Warsaw, Poland

  53. Motion Artifact-Aware Self-Supervised Representation Learning for 3D Brain MRI Motion Artifact Reduction

    Aug 10, 2026Mojtaba Safari, Shansong Wang, Zach Eidex +4Magnetic Resonance Imaging DatasetFunctional Magnetic Resonance Imaging

    Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA · Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA · Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA +1

  54. From Objectives to What Models Learn: A Landau Theory of Invariant Learning

    Aug 10, 2026Pinli Wang, Yue He, Peng CuiRegularizationPhase Transitions

    Department of Physics, Tsinghua University, Beijing, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China

  55. Biologically Informed Representation Learning for Robust Cross-Center Generalization of MALDI-TOF Mass Spectrometry

    Aug 8, 2026Alejandro L. García-Navarro, Carlos Sevilla-Salcedo, Belén Rodríguez-Sánchez +1Bacterial Colony CountingTandem Mass Spectra

    Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, 28911, Spain · Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, 28009 Spain · Clinical Microbiology and Infectious Diseases Department at Hospital General Universitario Gregorio Marañón, Madrid, 28007, Spain

  56. KnifeHunter: Structured Local Representation Learning for Fine-Grained Knife Image Retrieval in Law Enforcement

    Aug 7, 2026Syed Sameed Husain, Eng-Jon Ong, Stephen Simpson +3Digital ForensicsComposed Image Retrieval

    Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK · Metropolitan Police UK

  57. 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 +3Time Series Foundation ModelsRepresentation 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

  58. Suppress and Diversify: Refining Robust Pathways for Corruption Robustness

    Aug 7, 2026Jiangang Yang, Wenhui Shi, Xiaoran Xu +4Robustness VerificationAdversarial Corruption

    Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China · University of Chinese Science, Beijing, China

  59. Flowing Through States: Neural ODE Regularization for Reinforcement Learning

    Aug 6, 2026Mohamed Ghanem, Bernd FinkbeinerNeural Ordinary Differential EquationsLatent Dynamics

    CISPA Helmholtz Center for Information Security · Technical University of Munich

  60. RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction

    Aug 6, 2026Yiting Zheng, Cheng Fang, Anthony Donofrio +1ReactionRepresentation Learning

    Discovery Chemistry, Merck & Co., Inc. Boston, MA, USA · Discovery Chemistry, Merck & Co., Inc. Cambridge, MA, USA