Hierarchical Representation Learning

Ask about this topic

Momentum

18 papers in the last four weeks, up 260% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 154

All topics
CardsList

  1. Hyperbolic Graph Representation Learning: Embed in One Metric, Optimize with Another

    Oct 5, 2026Federico Larroca, Paola Bermolen, Marcelo Fiori +1Riemannian OptimizationHierarchical Representation Learning

    Facultad de Ingenier´ıa Universidad de la Rep´ublica Uruguay

  2. HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System

    Oct 5, 2026Gongli Zhang, C. L. Philip Chen, Zhulin LiuHierarchical Representation LearningNeural Network Robustness

    Guangdong Provincial Key Laboratory of Computational AI Models and Cognitive Intelligence, the School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, also with the Pazhou Lab, Guangzhou 510335, China, and also with the Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou 510641, China

  3. HIGS: Hierarchical Implicit Grids for Joint Geometric and Semantic Scene Understanding

    Sep 29, 2026Hanwen Cao, Wenqiang Wu, Kuang-Ting Tu +5Implicit Neural RepresentationsHierarchical Representation Learning

    University of California San Diego, La Jolla, CA, USA · Southern University of Science and Technology, Shenzhen, Guangzhou, China · Norwegian University of Science and Technology, Trondheim, Norway +2

  4. Minkowski Attractor Networks: Closed-Form Hyperbolic Flows for Visual Representations

    Sep 29, 2026Zhongping JiVisual Representation LearningHierarchical Representation Learning

  5. Learning Hierarchical Causal Representations of the Effects of Forcings on Temperature in Climate Models

    Sep 25, 2026Shan Zhao, Ilija Trajkovic, Julia Kaltenborn +4Surrogate ModelingCausal Representation Learning

    Technical University of Munich Munich, Germany · Karlsruhe Institute of Technology Karlsruhe, Germany · McGill University & Mila Montreal, Canada +1

  6. A Hierarchy-Aware Video-Language Model Evaluation and Hyperbolic Baseline for Surgery

    Sep 22, 2026Ana Manzano Rodríguez, Pascal Mettes, Marlies P. Schijven +1Video-Language Model EvaluationHierarchical Representation Learning

    Data Science Center HAVA-Lab, University of Amsterdam · Video & Image Sense Lab, Informatics Institute, University of Amsterdam · Amsterdam UMC Location University of Amsterdam, Surgery +2

  7. Geometry-Aware Hyperbolic Residual Quantization

    Sep 22, 2026Alessio Colombo, Melika AyoughiResidual VQHierarchical Representation Learning

    Universiteit van Amsterdam, Amsterdam, Netherlands

  8. Canonical locks that encode part-whole hierarchies

    Sep 22, 2026Rajat Modi, Yogesh Singh RawatVisual Representation LearningHierarchical Representation Learning

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

  9. MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale

    Sep 21, 2026Isaac Corley, Arjun Rao, Esther Rolf +7Geospatial Representation LearningHierarchical Representation Learning

    Taylor Geospatial · University of British Columbia · Vector Institute +7

  10. Hierarchical Prompt Learning for Hyperbolic Vision-Language Models

    Sep 21, 2026Andro Erdelez, Pascal Mettes, Behzad BozorgtabarVision-Language ModelsPrompt Learning

    Aarhus University · University of Amsterdam

  11. The Visual Target Matters: Learning across the Visual Hierarchy for Brain-to-Image Retrieval

    Sep 21, 2026Ye Wang, Haokun Ren, Hong Yu +4Visual Representation LearningEEG-Based Visual Decoding

    School of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China · College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China · Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China +1

  12. HDND: Hierarchical Dynamic Neural Decoding for Multilingual Word/Character Retrieval from Non-Invasive Brain Recordings

    Sep 21, 2026Yueyang Li, Shuran Chen, Wai Ting Siok +1Dynamic Neural NetworksNeural Decoding

    Department of Language Science and Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China

  13. InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection

    Sep 21, 2026Yeong-Jin Kim, Ho-Joong Kim, Seong-Whan LeeOpen-Vocabulary Object DetectionPrompt Learning

    Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea

  14. Pretrained Medical Representations for the Practical Screening of Drug Repositioning Candidates

    Sep 17, 2026Yuhei Fujioka, Daitaro Misawa, Shingo FukumaRepresentation LearningHierarchical Representation Learning

    Cancerscan Inc., Tokyo, Japan · Kyoto University, Graduate School of Medicine, Kyoto, Japan · Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima, Japan

  15. HiLNO: A Hierarchical Latent Neural Operator with Multi-Scale Supervision for PDEs on General Geometries

    Sep 16, 2026Zhicheng Hu, Jiacheng Li, Min YangHierarchical Representation LearningMulti-Scale Feature Fusion

    School of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China · Key Laboratory of Mathematical Modelling and High Performance Computing of Air Vehicles (NUAA), MIIT, Nanjing, 211106, China · School of Mathematics and Information Sciences, Yantai University, Yantai, China

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

    Sep 14, 2026Gwang-Hyeon Yun, Jong-Hoon Park, Bing Hu +3Graph SSLHierarchical Representation Learning

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

  17. CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation

    Sep 14, 2026Jinting Wang, Chenxing Li, Dong Yu +1Cross-Modal AlignmentHierarchical Representation Learning

    HKUST(GZ) · Tencent

  18. Diffusion Models and Concept Formation

    Sep 11, 2026Zekun Wang, Karthik Singaravadivelan, Christopher J. MacLellanCognitive ModelingHierarchical Representation Learning

    College of Computing, Georgia Institute of Technology, Atlanta, GA 30332 USA

  19. Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search

    Sep 9, 2026Rui Liu, Tao Zhe, Yanyong Huang +5Representation LearningHierarchical Representation Learning

    University of Kansas Lawrence, United States · Southwest University of Finance and Economics Chengdu, China · University of Wisconsin–Madison Madison, United States +3

  20. HypLTSF: A Hyperbolic Geometric View of Multi-Scale Hierarchies for Long-Term Time Series Forecasting

    Sep 8, 2026Namwoo Kim, Hyungryul Baik, Yoonjin YoonLong-Term Time Series ForecastingHierarchical Representation Learning

    Urban AI Institute, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea · Department of Mathematical Science, KAIST, Daejeon, Republic of Korea · Department of Civil and Environmental Engineering, KAIST, Daejeon, Republic of Korea

  21. ProbeMatchDTI: Probe-Driven Multi-Scale Biochemical Pattern Matching for Drug-Target Interaction Prediction

    Sep 2, 2026Quan Hao, Mengyue Fan, Zifan Dong +8Drug DiscoveryAI-Assisted Scientific Research

    School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

  22. H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning

    Sep 1, 2026Jia Ling, Yangfan Wang, Chen Tang +4Table QAHierarchical Representation Learning

    Harbin Institute of Technology · AI Research Center, Midea Group (Shanghai) Co., Ltd. · Changchun University of Science and Technology +1

  23. Spatial Matryoshka Training for Multi-Granularity Visual Document Retrieval

    Aug 30, 2026Trishan Singha Roy, Arkadeep Acharya, Vishwajeet Kumar +2Hierarchical Representation LearningMatryoshka Representation Learning

    IIT Delhi · IBM

  24. Multiple Scale Latents for Learned Image Compression

    Aug 11, 2026Jonas Brenig, Radu TimofteLearned Image CompressionRepresentation Learning

  25. Hierarchical rank-evolving representation for physics-informed neural networks

    Aug 10, 2026Ruoyang Su, Xi-Le Zhao, Kun Li +1Tensor NetworksNeural PDE Solvers

    University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, Sichuan, P.R.China · Southwestern University of Finance and Economics, 555, Liutai Avenue, Wenjiang District, Chengdu, 611130, Sichuan, P.R.China

  26. FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification

    Aug 8, 2026Pingping Liu, Muyao Wang, Zijian Zhang +5Multivariate Time Series ClassificationTime Series Classification

    1Jilin University · 2Hong Kong Polytechnic University · 3Pengcheng Laboratory +1

  27. H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation

    Aug 7, 2026Jia Wang, Jiaming Cai, Zunying Hu +4Hierarchical Representation LearningMedical Image Registration

  28. 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

  29. SWINSleepNet: A Hierarchical Context-Aware Framework for Sleep Staging (v2)

    Aug 3, 2026Chongjian Wang, Junjie GaoSleep Stage ClassificationHybrid CNN-Transformer Architectures

    School of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, Shandong, China · School of Artificial Intelligence, Shandong Women’s University, Jinan 250352, Shandong, China

  30. HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning

    Aug 1, 2026Ruichen Xu, Jingxiang Qu, Wenhan Gao +5Graph Representation LearningGraph SSL

    Department of Applied Mathematics and Statistics Stony Brook University Stony Brook, NY, USA · Department of Computer Science Stony Brook University Stony Brook, NY, USA · TikTok Bellevue, WA, USA +2