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

CardsList

799 papers130 papers in the last four weeks, up 97% on the four weeks before. 0.8% of all new papers.

  1. Beyond Task-Driven Features for Object Detection

    Apr 4, 2026Meilun Zhou, Alina ZareObject DetectionRepresentation Learning

    Department of Electrical and Computer Engineering University of Florida Gainesville, FL, USA, 32611 · Artificial Intelligence and Informatics Research Institute University of Florida Gainesville, FL, USA, 32611

  2. Task-Guided Multi-Annotation Triplet Learning for Remote Sensing Representations

    Apr 4, 2026Meilun Zhou, Alina ZareRepresentation LearningMulti-Task Learning

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA, 32611 · Artificial Intelligence and Informatics Research Institute, University of Florida, Gainesville, FL, USA, 32611

  3. Imagine Before Concentration: Diffusion-Guided Registers Enhance Partially Relevant Video Retrieval

    Apr 4, 2026Jun Li, Xuhang Lou, Jinpeng Wang +4Cross-Modal RetrievalInformation Retrieval

    Harbin Institute of Technology, Shenzhen · Tsinghua Shenzhen International Graduate School, Tsinghua University · Peng Cheng Laboratory

  4. Epicure: Multidimensional Flavor Structure in Food Ingredient Embeddings

    Apr 2, 2026Jakub Radzikowski, Josef ChenKnowledge RepresentationRepresentation Learning

  5. NearID: Identity Representation Learning via Near-identity Distractors

    Apr 2, 2026Aleksandar Cvejic, Rameen Abdal, Abdelrahman Eldesokey +2Representation LearningVisual Representation Learning

    King Abdullah University of Science and Technology (KAUST), Saudi Arabia · Snap Research, Palo Alto, CA, USA

  6. On Learning Spatial Structure from Pre-Beamforming Per-Antenna Range-Doppler Radar Measurements

    Apr 2, 2026George Sebastian, Philipp Berthold, Bianca Forkel +2Representation LearningMillimeter-Wave Radar

    Institute for Autonomous Driving, Department of Aerospace Engineering, University of the Bundeswehr Munich, Neubiberg, Germany

  7. MAR-MAER: Metric-Aware and Ambiguity-Adaptive Autoregressive Image Generation

    Apr 2, 2026Kai Dong, Tingting BaiT2I GenerationAutoregressive Image Generation

    Lanzhou Vocational Technical College, China

  8. DDCL: Deep Dual Competitive Learning: A Differentiable End-to-End Framework for Unsupervised Prototype-Based Representation Learning

    Apr 2, 2026Giansalvo CirrincioneClusteringDeep Clustering

    Lab. LTI, Université de Picardie Jules Verne, Amiens, France

  9. Representation Selection via Cross-Model Agreement using Canonical Correlation Analysis

    Apr 1, 2026Dylan B. Lewis, Jens Gregor, Hector Santos-VillalobosCanonical Correlation AnalysisRepresentation Learning

    University of Tennessee, Knoxville, USA

  10. BioCOMPASS: Integrating Biomarkers into Transformer-Based Immunotherapy Response Prediction

    Apr 1, 2026Sayed Hashim, Frank Soboczenski, Paul CairnsCancer Drug Response PredictionClinical Outcome Prediction

    University of York, UK

  11. Beyond Cosine Similarity: Zero-Initialized Residual Complex Projection for Aspect-Based Sentiment Analysis

    Mar 30, 2026Yijin Wang, Fandi Sun, Haoyu WenAspect-Based Sentiment AnalysisRepresentation Learning

    School of Economics and Management, Xidian University, Xi’an, China

  12. SPROUT: A Scalable Diffusion Foundation Model for Multi-Crop Plant Phenotyping

    Mar 29, 2026Shuai Xiang, James Burridge, Shouyang Liu +4Agricultural Image AnalysisPlant Phenotyping

    Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Midori-cho, Nishitokyo, Tokyo 188-0002, Japan · Engineering Research Center of Plant Phenotyping, Ministry of Education; Jiangsu Collaborative Innovation Center for Modern Crop Production; Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China · National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China +3

  13. Towards Intrinsic-Aware Monocular 3D Object Detection

    Mar 28, 2026Zhihao Zhang, Abhinav Kumar, Xiaoming Liu3D Object DetectionMonocular 3D Object Detection

    Michigan State University · University of North Carolina at Chapel Hill

  14. Silhouette Loss: Differentiable Global Structure Learning for Deep Representations

    Mar 27, 2026Matheus Vinícius Todescato, Joel Luís CarboneraRepresentation LearningMetric Learning

    Institute of Informatics UFRGS Porto Alegre, Brazil

  15. HINT: Composed Image Retrieval with Dual-path Compositional Contextualized Network

    Mar 27, 2026Mingyu Zhang, Zixu Li, Zhiwei Chen +5Composed Image RetrievalCross-Modal Feature Matching

    School of Software, Shandong University

  16. MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality

    Mar 27, 2026Kyungwon Kim, Dosik HwangMultimodal Survival AnalysisMissing-Modality Learning

    Yonsei University · Korea Institute of Science and Technology

  17. Gaussian Joint Embeddings For Self-Supervised Representation Learning

    Mar 26, 2026Yongchao HuangRepresentation LearningMultimodal Embedding

  18. Exploring How Fair Model Representations Relate to Fair Recommendations

    Mar 25, 2026Bjørnar Vassøy, Benjamin Kille, Helge LangsethFairness in Recommender SystemsAlgorithmic Fairness

    Norwegian University of Science and Technology, Trondheim, Norway

  19. KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits

    Mar 25, 2026Peng Xu, Yapeng Li, Tinghuan Chen +2Representation LearningGraph Representation Learning

    Department of Computer Science & Engineering, The Chinese University of Hong Kong · School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen)

  20. Minimal Sufficient Representations for Self-interpretable Deep Neural Networks

    Mar 25, 2026Zhiyao Tan, Liu Li, Huazhen LinNeural Network InterpretabilityRepresentation Learning

    Center of Statistical Research, School of Statistics, Southwestern University of Finance and Economics, Chengdu, China · School of Mathematics and Statistics, Wuhan University, Wuhan, China · New Cornerstone Science Laboratory, Southwestern University of Finance and Economics, Chengdu, China

  21. Perturbation: A simple and efficient adversarial tracer for representation learning in language models

    Mar 25, 2026Joshua Rozner, Cory ShainRepresentation LearningLLM Interpretability

    Stanford University

  22. Deep Neural Regression Collapse

    Mar 25, 2026Akshay Rangamani, Altay UnalRepresentation Learning

    Department of Data Science, New Jersey Institute of Technology

  23. Conditionally Identifiable Latent Representation for Multivariate Time Series with Structural Dynamics

    Mar 24, 2026Minkey Chang, Jae-Young KimLatent Variable ModelsLatent Dynamics Modeling

  24. Generalizing Dynamics Modeling More Easily from Representation Perspective

    Mar 24, 2026Yiming Wang, Zhengnan Zhang, Genghe Zhang +7Dynamical SystemsLatent Dynamics Modeling

    College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China · College of Software and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China · School of Computing, Belfast, Northern Ireland, UK +1

  25. PROMPT2BOX:Improving LLM Weakness Discovery and Specificity Estimation by Uncovering Entailment Structure among Prompts

    Mar 22, 2026Neeladri Bhuiya, Shib Sankar Dasgupta, Andrew McCallum +1LLM EvaluationRepresentation Learning

    CICS, University of Massachusetts Amherst, USA · A10 Networks · Amazon AWS AI

  26. Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models

    Mar 22, 2026Qifan Li, Xingyu Zhou, Jinhua Zhang +2Latent-Space RegularizationLatent Diffusion Models

    University of Electronic Science and Technology of China

  27. Discriminative Representation Learning for Clinical Prediction

    Mar 21, 2026Yang Zhang, Li Fan, Samuel Lawrence +1Representation LearningClinical Outcome Prediction

    The University of Hong Kong (HKU) · Columbia Univeristy

  28. Cross-Granularity Representations for Biological Sequences: Insights from ESM and BiGCARP

    Mar 21, 2026Hanlin Xiao, Rainer Breitling, Eriko Takano +1Representation LearningProtein Representation Learning

    Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom · Department of Computer Science, The University of Manchester, Manchester, United Kingdom

  29. Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models

    Mar 21, 2026Enguang Wang, Qiang Wang, Yuanchen Wu +5Multimodal Large Language ModelsRepresentation Learning

    NKIARI, Shenzhen Futian · VCIP, CS, Nankai University · Tencent Youtu Lab +1

  30. IBCapsNet: Information Bottleneck Capsule Network for Noise-Robust Representation Learning

    Mar 21, 2026Canqun Xiang, Chen Yang, Jiaoyan ZhaoNeural Network RobustnessRepresentation Learning

    an independent researcher · Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic University, Shenzhen, China