Global Average Pooling

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8 papers in the last four weeks, up 167% on the four weeks before. 0.1% of all new papers.

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  1. Pooling Helps, Learned Weighting Hurts In-Context: Decomposing Group Attention

    Oct 1, 2026Michael Fore, James Mason Inder, Mrishika Nair +2Global Average PoolingIn-Context Learning

    Amazon

  2. T-SNN: Temporal Simplicial Neural Network for EEG Decoding

    Sep 27, 2026Nikita Malik, Shubhajit Roy, Mohit Kataria +4Electroencephalography DecodingElectroencephalography

    Bharti School of Telecommunication Technology and Management Indian Institute of Technology, Delhi · Department of Computer Science & Engineering Indian Institute of Technology, Gandhinagar · Yardi School of Artificial Intelligence Indian Institute of Technology, Delhi +4

  3. Compression Hurts, Pooling Helps: Information Loss in Rayleigh-Scale Estimation from B-Mode Ultrasound

    Sep 17, 2026D. Hudson Smith, Ahmer RazaUltrasoundDensity Ratio Estimation

    Clemson University

  4. Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation

    Sep 15, 2026Ferran Bohigas-Daranas, Hamid Latif-Martínez, Eduardo Prieto-Araujo +2Optimal Power FlowPower Systems

  5. Competence-Gated Pooling of Language Models and Priors for Event Forecasting

    Sep 14, 2026Aditi Tiwari, Aashrith Bandaru, Heng JiLarge Language Model ForecastingCompetence

    University of Illinois Urbana-Champaign Urbana, Illinois, USA

  6. Localized Visual Feature Aggregation via Focus Pooling for Visuomotor Policies

    Sep 8, 2026Ruiyu Wang, Zheyu Zhuang, Danica Kragic +1Visuomotor PolicyGlobal Average Pooling

    KTH Royal Institute of Technology, Sweden

  7. Query-Aware Token Budgeting for Efficient Late-Interaction Visual Document Retrieval

    Sep 7, 2026PS Rishi, Rajeev Ranjan Dwivedi, Vinod K KurmiVisual Document RetrievalGlobal Average Pooling

    Indian Institute of Science Education and Research Bhopal (IISER Bhopal), India

  8. Pooling and Drift in Delayed Bandits

    Sep 1, 2026Melika BaghiStochastic Multi-Armed BanditsMinimax

    Georgia Institute of Technology

  9. FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation

    Sep 1, 2026Kewei Li, Rongying Zhang, Xueli Wang +6Global Average PoolingFourier

    College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Institute for Quantitative and Computational Biology, University of California, Los Angeles, 90024, United States of America. +4

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

    Aug 30, 2026Trishan Singha Roy, Arkadeep Acharya, Vishwajeet Kumar +2Multimodal RetrievalVisual Document Retrieval

    IIT Delhi · IBM

  11. EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment

    Aug 5, 2026Zhenyu Yi, Jianwei Xu, Yue Hu +6Vision-Language AlignmentColonoscopy

    1DAMO Academy, Alibaba Group · 3Shanghai Jiao Tong University · 4Hupan Lab +3

  12. Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniTemporal Graph Neural NetworksCommunity Detection

    University of Pisa, Dept. of Computer Science, 56127 Pisa PI, Italy · National Research Council, 56124 Pisa PI, Italy

  13. Riemannian Geometry for Pre-trained Language Model Embeddings

    Jul 8, 2026Szczepan Konior, Alexandre Quemy, Przemysław Klocek +2Token EmbeddingsText Embeddings

    IBM Automation and AI, Krakow, Poland · Hother, Krakow, Poland · University of Warsaw +1

  14. Mixture-Constrained Max Pooling Improves Separation-Based Bird Species Classification

    Jul 3, 2026Yuzhu Wang, Kalle Lahtinen, Patrik Lauha +4Species IdentificationAnimal Vocalizations

    Signal Processing Research Center, Tampere University, Tampere, Finland · Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland · Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland

  15. Unlocking Spatial Grounding in Large Audio-Visual Retrieval models

    Jun 22, 2026Hugo Malard, Michel Olvera, Sanjeel Parekh +3Audio-Visual ReasoningSound Source Localization

    LTCI, Télécom Paris, Institut Polytechnique de Paris, France · Meta, Reality Labs Research · NVIDIA, France +1

  16. Decodable but Not Faithful: Coupling Natural-Language Rationales to Programmatic Verifiers

    Jun 19, 2026Vatsal Ananthula, Adarsh KumarappanFree-Form Textual RationalesDecoding

    University of California, Berkeley · 2California Institute of Technology

  17. Hierarchical Pooling for Sheaf Neural Networks

    Jun 18, 2026Dionisia Naddeo, Carlo Abate, Pietro Liò +2Sheaf Neural NetworksSheaf

    UiT The Arctic University of Norway · UiT The Arctic University of Norway NORCE Norwegian Research Centre AS

  18. Credibility-Weighted Pricing of Autonomous Vehicle Liability Under Operational Design Domain Shift

    Jun 16, 2026Doyeon JangAutomated VehiclesCredit Assignment

    Doyeon Jang

  19. FlexPooling with Simple Auxiliary Classifiers in Deep Networks

    Jun 12, 2026Muhammad Ali, Omar Alsuwaidi, Salman KhanGlobal Average PoolingConvolutional Neural Networks

    Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence · Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

  20. Rethinking Global Average Pooling: Your Classifier Is Secretly a Multi-Instance Learner

    Jun 12, 2026Aray KarjauvMultiple Instance LearningImage Classification

    indigo bunting

  21. SpAArSIST: Sparsified AASIST for Efficient and Reliable Anti-Spoofing

    Jun 10, 2026Anton Firc, Vojtěch Staněk, Zbyněk Lička +2SpoofingSelf-Supervised Learning

  22. Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets

    Jun 8, 2026Fuli Wang, Wei Qian, Daniel L. Lau +1HypergraphsU-Net

    Institute for Financial Services Analytics, University of Delaware, Newark, DE, 19716, USA · Department of Applied Economics and Statistics, University of Delaware, Newark, DE, 19716, USA · Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506 USA +1

  23. ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification

    Jun 3, 2026Lavsen Dahal, Yubraj Bhandari, Geoffrey Rubin +1Semi-Supervised Medical Image SegmentationGlobal Average Pooling

    Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, 27708, North Carolina, USA · Department of Mathematics, Trinity College of Arts & Sciences, Duke University, Durham, 27708, North Carolina, USA · Department of Radiology and Imaging Sciences, University of Arizona College of Medicine, Tucson, 85004 Arizona, USA +1

  24. Theoretical Aspects of Lie Groupoid and Lie Algebroid Equivariant Convolutional Neural Networks

    Jun 1, 2026Michael AstwoodEquivariant Neural NetworksNeural Network

    Department of Mathematics, University of Manitoba, Winnipeg, MB, R3T 2M6 Canada

  25. Machine Learning Multiscale Interactions

    May 25, 2026Àlex Solé, Sergio Suárez-Dou, Albert Mosella-Montoro +4Molecular DynamicsMany-Body Physics

    Image Processing Group – Signal Theory and Communications Department, Universitat Politècnica de Catalunya, Barcelona, Spain. · Inorganic and Organic Chemistry Department and Institute of Theoretical and Computational Chemistry, Universitat de Barcelona, Barcelona, Spain. · Department of Physics and Materials Science, University of Luxembourg, Luxembourg City, Luxembourg.

  26. What Molecular Structure Cannot Tell Us: A Taxonomy of Explainability Gaps in GNN-Based Drug Toxicity Prediction

    May 25, 2026Juergen DietrichAbsorption, Distribution, Metabolism, And ExcretionMolecules

  27. Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding

    May 21, 2026Bingjun Luo, Tony Wang, Hanqi Chen +1Long Visual-Token SequencesGlobal Average Pooling

    1Tsinghua University · 2Shenzhen University · 3Xidian University

  28. LAPS: Improving Incremental LiDAR Mapping using Active Pooling and Sampling for Neural Distance Fields

    May 15, 2026Dongjae Lee, Wooseong Yang, Yifu Tao +2Continuous Distance FieldOrb-Slam2

    Department of Mechanical Engineering, Seoul National University, S. Korea · Oxford Robotics Institute at the University of Oxford, UK

  29. Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models

    May 12, 2026Yanting Miao, Yutao Sun, Dexin Wang +8Latent Visual ReasoningMultimodal Large Language Models

    1Qwen Large Model Application Team, Alibaba · 3Zhejiang University · University of Waterloo +1

  30. The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments

    May 12, 2026Ofir Itzhak Shahar, Gur Elkin, Ohad Ben-ShaharPuzzleComputer Vision

    Stein Faculty of Computer and Information Science Ben-Gurion University of the Negev, Israel

  31. Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation

    May 11, 2026Kedi Sun, Chaohui Dang, Yue Feng +3Surgical VideosVideo Temporal Grounding

    School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, UK · School of Computer Science, University of Birmingham, Birmingham, UK · Department of Applied Health Sciences, University of Birmingham, Birmingham, UK

  32. The Truth Lies Somewhere in the Middle (of the Generated Tokens)

    May 11, 2026Sophie L. Wang, Phillip Isola, Brian CheungGlobal Average PoolingSemantic Representations

    1MIT.

  33. RigidFormer: Learning Rigid Dynamics using Transformers

    May 9, 2026Zhiyang Dou, Minghao Guo, Haixu Wu +3Rigid-Body DynamicsTransformer Architectures

    MIT · Meta

  34. Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling

    May 8, 2026Ali Syed, Aditya Nambiar, Jonathan W. SiegelIntrinsic DimensionalityBehavioral Embeddings

    Department of Mathematics Texas A&M University College Station, TX 77843

  35. UIESNN: A Scale-Aware Spiking Network for Underwater Image Enhancement

    May 8, 2026Shuang Chen, Ruochen Li, Zihan Zhu +3Spiking Neural NetworksUnderwater Image Enhancement Methods

    Computer Science Department, Durham University, UK · University of Cambridge · Institute of Biology, University of Graz, Graz, Austria.

  36. bispectrum: Selective GG-Bispectra Made Practical

    May 8, 2026Johan Mathe, Adele Myers, Simon Mataigne +1Global Average PoolingSpherical Latent Space

    Atmo, Inc. San Francisco, CA · UC Santa Barbara Santa Barbara, CA · UCLouvain Louvain-la-Neuve, Belgium

  37. The Role of Node Features in Graph Pooling

    May 7, 2026Jan von Pichowski, Alžbeta Hrabošová, Ingo Scholtes +1Graph Neural NetworksGlobal Average Pooling

    Center for AI and Data Science University of Würzburg, Germany · Department of Computing Science Umeå University, Sweden

  38. PHALAR: Phasors for Learned Musical Audio Representations

    May 5, 2026Davide Marincione, Michele Mancusi, Giorgio Strano +4Music Structure AnalysisGlobal Average Pooling

    Department of Computer Science, Sapienza University of Rome, Italy · Moises Systems, Inc. · Paradigma, Inc.

  39. Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs

    Apr 30, 2026Nuria Alabau-Bosque, Jorge Vila-Tomas, Paula Dauden-Oliver +2Convolutional Neural NetworksGlobal Average Pooling

    Image Processing Lab, Universitat de València, Carrer del Catedr´atic Jos´e Beltr´an Martinez, Paterna, 46980, Spain.

  40. Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings

    Apr 30, 2026Tomomasa Hara, Hiroto Kurita, Masaaki Imaizumi +2Token EmbeddingsText Embeddings

    Tohoku University · The University of Tokyo · Kyoto University +3

  41. FedIA: Importance-Aware Aggregation for Domain-Robust Federated Graph Learning

    Sep 17, 2025Zhanting Zhou, Zeyu Ma, Ziqiang Zheng +1Federated Graph LearningFedavg

    University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China

  42. NervePool: A Simplicial Pooling Layer

    May 10, 2023Sarah McGuire Scullen, Ernst Röell, Elizabeth Munch +2Global Average PoolingSimplex

    Pacific Northwest National Lab, USA · Helmholtz Munich and Technical University of Munich, Germany · Michigan State University, USA +1