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. NeuroPB: Scaling Neural Decoding with Pretrained Behavioral Representations

    Aug 5, 2026Luyao Jin, Yonghao Song, Huan Zhao +2Representation LearningBrain-Computer Interfaces

    Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong · Department of Biomedical Engineering, School of Medicine, Tsinghua University · School of Biomedical Sciences, The Chinese University of Hong Kong

  2. Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation

    Aug 5, 2026Scott H. HawleyRepresentation LearningSelf-Supervised Pre-Training

    Department of Chemistry & Physics Belmont University Nashville, TN, USA

  3. Attention-based representations for multi-task computation

    Aug 4, 2026Daniel Hsu, Mingyue XuRepresentation LearningMulti-Task Learning

    Columbia University · Purdue University

  4. Teaching Foundation Models to Read mmWave: Pose-Guided Kinematic Representation for Human Behavior Understanding

    Aug 4, 2026Duo Zhang, Zhehui Yin, Zhiyun Yao +8Representation LearningHuman Activity Recognition

    1Peking University · 2ETH Zurich · 3Institut Polytechnique de Paris

  5. Equivariant Music Transformer

    Aug 4, 2026Zixun Guo, Simon DixonRepresentation LearningTransformer

    Centre for Digital Music, Queen Mary University of London, United Kingdom

  6. Enhancing Tabular Learners with Context-Aware Semantic Embeddings

    Aug 4, 2026Günther Schindler, Maximilian Schambach, Johannes HöhneTabular Foundation ModelsRepresentation Learning

    SAP SE

  7. From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology

    Aug 4, 2026Basit Alawode, Moshira Ali Abdalla, Dwarikanath Mahapatra +2Representation LearningVision Transformer

    Khalifa University of Science and Technology, UAE · University of Western Australia, Australia

  8. DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers

    Aug 4, 2026Binglei Li, Mengping Yang, Zhiyu Tan +4Representation LearningDiffusion Transformer

    Fudan University, Shanghai, China · Shanghai Academy of AI for Science, Shanghai, China · Shanghai Innovation Institute, Shanghai, China

  9. HyperFL: Query-Adaptive Representation Learning for Software Fault Localization

    Aug 4, 2026Shuai Shao, Yiming Zeng, Yu Zhao +1Software EngineeringRepresentation Learning

    University of Connecticut · University of Cincinnati

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

    Aug 3, 2026Martin Mocko, Daniela ChudáRepresentation LearningSelf-Supervised Learning

    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

  11. RamanPFN: learning from Raman spectral structure with a tabular foundation model

    Aug 3, 2026Xingyu Pan, Huan Wang, Jinjia Guo +3Tabular Foundation ModelsRepresentation Learning

    Beihang University · Cleer Science

  12. Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context

    Aug 3, 2026Samuel Valenzuela, Johannes KinderRepresentation LearningGraph Representation Learning

    Ludwig-Maximilians-Universität München · Munich Center for Machine Learning · Center for Digital Technology and Management +1

  13. SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching

    Aug 3, 2026Zong-Wei Hong, Jinglun Li, Shen Zhang +3Diffusion Model AlignmentFlow Matching

    JIIOV Technology

  14. Motion Beyond Morphology: Bootstrapping Cross-Category Motion Transfer from Abstract Motion Representations

    Aug 3, 2026Zhixue Fang, Zhimin Zhang, Bi'an Du +6Representation LearningMotion Representation Learning

    Kling Team · Peking University

  15. Beyond Gene Reconstruction: Learning Cell Representations through Complementary Transcriptomic Views

    Aug 2, 2026Jiaqi Xiong, Yuntao hu, Yu Zheng +3Contrastive LearningRepresentation Learning

    University of Oxford, Oxford, United Kingdom · Tongji University, Shanghai, China · Hunan University, Changsha, China +2

  16. xMICD: Explainable Representation of Multiple ICD Codes

    Aug 2, 2026Pat Vatiwutipong, Kumkup Keeratisiwakul, Albert Phuoc Kien Van Truong +4Representation LearningInterpretable ML

    Faculty of Information and Communication Technology, Mahidol University, Nakhon Pathom, Thailand · Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany · Department of Transdisciplinary Science and Engineering, School of Environment and Society, Institute of Science Tokyo, Tokyo, Japan +3

  17. Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining

    Jul 31, 2026Guoliang You, Haifan Gong, Xiaomeng ChuRepresentation LearningMedical Image Analysis

    University of Pennsylvania · The Chinese University of Hong Kong, Shenzhen · Yale University

  18. Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning

    Jul 31, 2026Dongxiao He, Jiayu Zhang, Jitao Zhao +2Domain-Adversarial LearningRepresentation Learning

    Tianjin University Tianjin, China

  19. LegoQ: Density-Matrix Representation Learning with Spectral-Spatial State Transitions for Hyperspectral Classification

    Jul 31, 2026Weijia Cao, Xiaofei Yang, Fu Wang +2Representation LearningQuantum-Inspired ML

  20. What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration

    Jul 30, 2026Cencen Liu, Wen Yin, Dongyang Zhang +6Representation LearningRepresentation Disentanglement

    University of Electronic Science and Technology of China · University of Electronic Science and Technology of China, Chengdu, Sichuan, China · Jiigan Technology +1

  21. MUGEN: A Unified Framework for Efficient Motion Understanding and Generation

    Jul 30, 2026Zhankai Ye, Yukai Jin, Bingyang Wei +5Representation LearningHuman Motion Generation

    1Florida State University · 2Texas Christian University · University of Miami +1

  22. Cross-Embodiment Transfer via Behavior-Aligned Representations

    Jul 30, 2026Ajay Sridhar, Jensen Gao, Jonathan Yang +3Representation LearningVision-Language-Action Models

    1Stanford University · 2Toyota Research Institute

  23. Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation

    Jul 29, 2026Jialu Xu, Mengkun Liang, Guannan Liu +2Representation LearningCausal Representation Learning

    MIIT Key Laboratory of Data and Decision Intelligence, Beihang University Beijing, China

  24. Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning

    Jul 28, 2026Jintian Ji, Xingsu Li, Songhe FengRepresentation LearningMulti-View Learning

    Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong, China · School of Computer and Information Technology Beijing Jiaotong University, Beijing, China

  25. When Does Deep Representation Learning Help Single-Cell Clustering? A Sensitivity-Aware Diagnostic Benchmark for Biomedical AI Pipelines

    Jul 28, 2026Nguyen Thanh Phong, Truong Viet Vu, Nguyen Ha Thu +4Representation LearningClustering

    Faculty of Information Technology, Van Lang School of Technology, Van Lang University, Ho Chi Minh City, Vietnam · Faculty of Law, Van Lang University, Ho Chi Minh City, Vietnam

  26. OrganLens: Organ-Specific Representation Learning for CT Foundation Models

    Jul 28, 2026Zhixuan Ge, Anqi Li, Sadeer Al-Kindi +2Medical Imaging Foundation ModelsRepresentation Learning

    Rice University Houston, Texas, USA · Department of Cardiology DeBakey Heart and Vascular Center Houston, Texas, USA · University of Washington Seattle, Washington, USA

  27. TimePLE: Rethinking Temporal Representation for Video Temporal Grounding

    Jul 27, 2026Yuhui Zeng, Xinyu Mao, Xiaokun Liu +4Temporal Video GroundingRepresentation Learning

    Media Analytics and Computing Lab, Xiamen University, Xiamen, China · Kling Team, Kuaishou Technology, China · The Chinese University of Hong Kong, HKSAR, China +1

  28. Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation

    Jul 25, 2026Yihao Wu, Chenyi Xu, Liqi Yan +6Representation LearningInformation Bottleneck

    1Hangzhou Dianzi University · University of Zurich · University of Exeter

  29. The Lift Spectrum: How Measurement-to-Space Adaptivity Shapes Robustness in Image-Free Single-Pixel Sensing

    Jul 24, 2026Yuyuan Han, Jingwei Li, Xiaoxia Zhang +9Image SegmentationRepresentation Learning

    Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education and International Center for Dielectric Research, School of Electronic Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China · Micius Laboratory, Henan Academy of Sciences, Zhengzhou 450052, China · Department of Pharmacy, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, China +1

  30. Distribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval

    Jul 23, 2026Kyeongmo Chae, Jihoon Lee, Sangtae AhnRepresentation LearningCross-Modal Alignment

    School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea