Ensemble Learning

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Overview

Ensemble learning studies how to combine predictions from multiple models, from Random Forests and boosting to stacking, voting, and mixtures of experts. Methods may average outputs, learn weights from validation data, or select and route among specialists for each example, with applications ranging from tabular prediction and medical imaging to weather forecasting and language models. Combining models can reduce errors and quantify uncertainty, but gains depend on whether their mistakes are complementary rather than correlated. Current work also weighs accuracy against calibration, computational cost, distribution shifts, and leakage-safe evaluation, while developing theoretical guarantees for aggregation and boosting.

Latest papers

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278 papers25 papers in the last four weeks, down 24% on the four weeks before. 0.1% of all new papers.

  1. Exact Finite-Sample Variance Decomposition of Subagging: A Spectral Filtering Perspective

    Apr 12, 2026Ye Su, Mingrui Ye, Yining Wang +2Ensemble LearningStatistical Learning Theory

    Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055, China · School of Mathematics Renmin University of China Beijing 100872, China · College of Information Science and Technology Beijing University of Chemical Technology Beijing 100029, China +1

  2. A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems

    Apr 10, 2026Maryam Ahang, Todd Charter, Masoud Jalayer +1Fault DiagnosisPhysics-Informed ML

    University of Victoria, Victoria, Canada · Aalto University, Espoo, Finland

  3. Ensembles at Any Cost? Accuracy-Energy Trade-offs in Recommender Systems

    Apr 9, 2026Jannik Nitschke, Lukas Wegmeth, Joeran BeelRecommender SystemsEnsemble Learning

    University of Siegen, Siegen, Germany

  4. Plug-and-Play Logit Fusion for Heterogeneous Pathology Foundation Models

    Apr 9, 2026Gexin Huang, Anqi Li, Yusheng Tan +4Computational PathologyEnsemble Learning

    University of British Columbia, Vancouver, BC, Canada · Vector Institute, Toronto, ON, Canada · Washington University in St. Louis, St. Louis, MO, USA

  5. ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction

    Apr 9, 2026Kun Wang, Yupeng Hu, Zhiran Li +3Video Saliency PredictionVisual Saliency

    Shandong University · Harbin Institute of Technology (Shenzhen) · City University of Hong Kong +1

  6. AdaBoost Does Not Always Cycle: A Computer-Assisted Counterexample

    Apr 8, 2026Erik Y. WangEnsemble LearningOptimization Convergence Analysis

    Department of Computer Science, Stanford University

  7. Quantifying how AI Panels improve precision

    Apr 6, 2026Nicholas CL BealeAI-Assisted Decision MakingAI and Labor

  8. StableTTA: Improving Vision Model Performance by Training-free Test-Time Adaptation Methods

    Apr 6, 2026Zheng Li, Jerry Cheng, Huanying Helen GuTest-Time AdaptationEnsemble Learning

    Department of Computer Science New York Institute of Technology

  9. Evaluation of Bagging Predictors with Kernel Density Estimation and Bagging Score

    Apr 4, 2026Philipp Seitz, Jan Schmitt, Andreas SchifflerEnsemble LearningUncertainty Quantification

    Institute of Digital Engineering, Technical University of Applied Sciences Würzburg-Schweinfurt, Schweinfurt, Bavaria, Germany

  10. HEDGE: Heterogeneous Ensemble for Detection of AI-GEnerated Images in the Wild

    Apr 4, 2026Fei Wu, Dagong Lu, Mufeng Yao +2AI-Generated Image DetectionEnsemble Learning

    Shanghai Jiao Tong University · INTSIG Information

  11. Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III -- Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence

    Apr 3, 2026Ernest Fokoué, Gregory Babbitt, Yuval LeventalEnsemble LearningStochastic Gradient Descent

    School of Mathematics and Statistics, Rochester Institute of Technology · Gosnell School of Life Sciences, Rochester Institute of Technology · Center for Imaging Science, Rochester Institute of Technology

  12. Evolutionary Multi-Objective Fusion of Deepfake Speech Detectors

    Apr 1, 2026Vojtěch Staněk, Martin Perešíni, Lukáš Sekanina +2Audio Deepfake DetectionEnsemble Learning

    Faculty of Information Technology, Brno University of Technology, Božetěchova 1/2, 612 00 Brno, Czech Republic

  13. Optimized Weighted Voting System for Brain Tumor Classification Using MRI Images

    Mar 30, 2026Ha Anh VuBrain Tumor ClassificationEnsemble Learning

    Artificial Intelligence Department, FPT University, Ho Chi Minh City, Vietnam

  14. FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning

    Mar 30, 2026Brianna Mueller, W. Nick StreetFederated LearningNon-IID Federated Learning

    University of Iowa, Iowa City, Iowa

  15. An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks

    Mar 26, 2026Syed Rayhan Masud, SK Muktadir Hossain, Md. Ridoy Sarkar +3Ensemble LearningPrecision Agriculture

    Department of Computer Science & Engineering, American International University-Bangladesh, Dhaka, Bangladesh · EliteLab.AI, Queens,NY, U.S.A · Department of Computer Science & Engineering, Begum Rokeya University, Rangpur,Bangladesh

  16. On the Use of Bagging for Local Intrinsic Dimensionality Estimation

    Mar 25, 2026Kristóf Péter, Ricardo J. G. B. Campello, James Bailey +1Intrinsic DimensionalityVariance Reduction

    New Jersey Institute of Technology Newark, New Jersey, United States

  17. KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening

    Mar 25, 2026Pavel Koptev, Nikita Krainov, Konstantin Malkov +1Virtual ScreeningMolecular Property Prediction

    AI1 Technologies · KAN Technologies, LLC · UNC-Chapel Hill

  18. Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part II-On the Strength of Weak Learnability and the Boosting Paradigm

    Mar 25, 2026Ernest Fokoué, Gregory Babbitt, Yuval LeventalEnsemble LearningEmergent Behavior in Multi-Agent Systems

    School of Mathematics and Statistics, Rochester Institute of Technology · Gosnell School of Life Sciences, Rochester Institute of Technology · Center for Imaging Science, Rochester Institute of Technology

  19. Detection and Classification of (Pre)Cancerous Cells in Pap Smears: An Ensemble Strategy for the RIVA Cervical Cytology Challenge

    Mar 24, 2026Lautaro Kogan, María Victoria RíosComputational PathologyClass-Imbalanced Learning

    Universidad de San Andrés, Buenos Aires, Argentina

  20. Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection

    Mar 24, 2026Abhijit Chowdhary, Elizabeth Newman, Deepanshu VermaEnsemble LearningTrust-Region Optimization

    Department of Mathematics, Tufts University, Medford, MA 02155, USA · School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634

  21. REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees

    Mar 24, 2026Simon D. Nguyen, Hayden McTavish, Kentaro Hoffman +2PAC-Bayesian TheoryActive Learning

    Department of Statistics, University of Washington · Department of Computer Science, Duke University · Department of Sociology, University of Washington

  22. First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution

    Mar 22, 2026Drake Caraker, Bryan Arnold, David RhoadsSHAP Feature AttributionGradient-Boosted Decision Trees

    Independent Researchers

  23. Deep Attention-based Sequential Ensemble Learning for BLE-Based Indoor Localization in Care Facilities

    Mar 22, 2026Minh Triet Pham, Quynh Chi Dang, Le Nhat TanWireless LocalizationEnsemble Learning

    School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia · Faculty of Applied Science, Ho Chi Minh City University of Technology, Vietnam National University - Ho Chi Minh City, Ho Chi Minh City, Vietnam

  24. Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction

    Mar 21, 2026Zacharie BugaudMolecular Property PredictionEnsemble Learning

  25. Multi-Stage Fine-Tuning of Pathology Foundation Models with Head-Diverse Ensembling for White Blood Cell Classification

    Mar 20, 2026Antony Gitau, Martin Paulson, Bjørn-Jostein Singstad +3White Blood Cell ClassificationFine-Grained Image Classification

    University of South-Eastern Norway · Vestfold Hospital Trust

  26. AgenticRS-EnsNAS: Ensemble-Decoupled Self-Evolving Architecture Search

    Mar 20, 2026Yun Chen, Moyu Zhang, Jinxin Hu +2Neural Architecture SearchEnsemble Learning

    Alibaba Group, Beijing, China

  27. Ensembles-based Feature Guided Analysis

    Mar 20, 2026Federico Formica, Stefano Gregis, Andrea Rota +3Neural Network InterpretabilityFeature Attribution

    McMaster University, Canada · University of Bergamo, Italy

  28. Decorrelation, Diversity, and Emergent Intelligence: The Isomorphism Between Social Insect Colonies and Ensemble Machine Learning

    Mar 20, 2026Ernest Fokoué, Gregory Babbitt, Yuval LeventalShared Decision-MakingEnsemble Learning

    School of Mathematics and Statistics, Rochester Institute of Technology · Gosnell School of Life Sciences, Rochester Institute of Technology · Center for Imaging Science, Rochester Institute of Technology

  29. Data-driven ensemble prediction of the global ocean

    Mar 20, 2026Qiusheng Huang, Xiaohui Zhong, Anboyu Guo +3Probabilistic ForecastingSpatiotemporal Forecasting

    Artificial Intelligence Innovation and Incubation Institute, Fudan University, Shanghai, China. · Shanghai Innovation Institute, Shanghai, China. · Shanghai Academy of Artificial Intelligence for Science, Shanghai, China. +2

  30. When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines

    Mar 20, 2026Artem Maryanskyy, Dmitry Budnikov, Alibek T. KaliyevMulti-Agent LLM SystemsMulti-LLM Collaboration

    Uber Technologies, Sunnyvale, CA 94085, USA · Laboratories of Electrical, Thermal Technologies and Energy Saving, Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia · Department of Computer Science, University of Texas at Austin, Austin, TX 78712, USA