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45 papers in the last four weeks, up 137% on the four weeks before. 0.4% of all new papers.

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  1. Exploring Budgeted Image Classification with Content-Sensitive Resource Allocation

    Jul 27, 2026Athanasios G. PapadopoulosCost-Aware InferenceClassification

    Tandon School of Engineering, New York University

  2. Local Regularization Does Not Characterize Multiclass PAC Learnability

    Jul 26, 2026Eric HouMulticlass ClassificationClassification

  3. Guarantees on Dynamical System Distinguishability for LLM Token Generation

    Jul 25, 2026Mohamed Akrout, Dan WilsonLLM EvaluationClassification

    Department of Electrical Engineering and Computer Science University of Tennessee, Knoxville, TN, USA

  4. Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram

    Jul 25, 2026Ethan DavisCross-Subject EEG DecodingMI Classification

    University of Washington, USA

  5. Two-Step Occupation Coding

    Jul 22, 2026Alexander M. Esser, Jens DörpinghausText ClassificationClassification

    University of Koblenz, Germany · 2Federal Institute for Vocational Education and Training (BIBB), Bonn, Germany · 3Linnaeus University (LNU), Växjö, Sweden

  6. Fundamental limits of distributed multiclass classification from simple binary decisions

    Jul 21, 2026Ioannis Papageorgiou, Srinivas Nomula, Ayalvadi Ganesh +2Multiclass ClassificationClassification

    School of Mathematics, University of Bristol · Department of Electrical Communication Engineering, Indian Institute of Science.

  7. Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models

    Jul 21, 2026Gautam Rajendrakumar Gare, Jia Shi, Zhiqiu Lin +3Vision-Language ModelsDistribution Shift

    Carnegie Mellon University, USA

  8. A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification

    Jul 20, 2026Bogdan Raduta, Horia Velicu, Alexandru Preda +1LLM-Assisted AnnotationText Classification

  9. Graph-Embedded Intuitionistic Fuzzy Broad Learning System: A Multi-view Framework

    Jul 18, 2026Yogesh Kumar, Manju, Mudasir GanaieMulti-View LearningClassification

    Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India.

  10. Hierarchical Specialised Ensembles for Classification of Zebrafish Phenotypes Using the Selected Image Recognition Methods

    Jul 17, 2026Piotr S. Maciąg, Monika Maciąg, Magdalena MajdanHierarchical ClassificationMulti-Label Classification

    Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland · Laboratory of Neuronal Plasticity, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, Warsaw, Poland · Laboratory of Behavioral Studies, Medical University of Lublin, Lublin, Poland +1

  11. DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery

    Jul 15, 2026Peiyan Gu, Zixin Teng, Xuming HeBayesian Mixture ModelsGaussian Mixture Models

    ShanghaiTech University, Shanghai, China · Shanghai Engineering Research Center of Intelligent Vision and Imaging

  12. Classifying daily activities needs posture, reconstructing them needs motion

    Jul 14, 2026Arefeh Farahmandi, Gunnar BlohmSkeleton-Based Action RecognitionHuman Activity Recognition

    Centre for Neuroscience Studies Queen’s University Kingson, Ontario, Canada

  13. PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing

    Jul 13, 2026Keshen Zhou, Lintao Wang, Suqin Yuan +3LLM PersonalizationRetrieval-Augmented Classification

    University of Sydney, Sydney, NSW 2006, Australia

  14. Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classification

    Jul 12, 2026Siyu Wang, Wei Tan, Lulu ChenHierarchical ClassificationRetrieval-Augmented Classification

    aGusu Laboratory of Materials, Suzhou, China · cSuzhou Digital China Wuxin Intelligent Technology Co., Ltd., Suzhou, China

  15. Learning from Noise: Effective-Rank Collapse and Out-of-Distribution Rejection in Restricted Boltzmann Machines

    Jul 11, 2026Oshada Rathnayake, Nikhil ShuklaEnergy-Based ModelsClassification

    University of Virginia, Charlottesville, VA, 22903, USA

  16. When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation

    Jul 11, 2026Cheng-Ting Chou, Duc Binh HoangClass-Imbalanced LearningTransformer

    University of California, Los Angeles

  17. TimEE: End-to-end Time Series Classification via In-Context Learning

    Jul 8, 2026Jaris Küken, Shi Bin Hoo, Martin Mráz +2Synthetic Data PretrainingTime Series Classification

    University of Freiburg · Zuse School ELIZA Darmstadt · Prior Labs +1

  18. Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation

    Jul 8, 2026Ahsan Habib Akash, Dipkamal Bhusal, Stacey Jones +3Concept-Based ExplanationsNeural Network Interpretability

    West Virginia University, USA · Rochester Institute of Technology, USA · O Analytics +3

  19. Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning

    Jul 6, 2026Vrushank Ahire, Yogesh Kumar, M. A. GanaieMulti-View LearningClassification

    Dept. of Computer Science and Engineering, IIT Ropar, Punjab, India

  20. Choosing a parallel heterogeneous ensemble method for tabular classification

    Jul 6, 2026Vassili Maillet, Gustavo, Angulo +1Ensemble LearningTabular Classification

    Jesus · Mines Paris, PSL University, France

  21. Score Distributions, Not Cells: Evaluating Single-Cell Perturbations Under Class Overlap

    Jul 6, 2026Youssef Marrakchi, Davide D'Ascenzo, Sebastiano Cultrera di MontesanoSingle-Cell Perturbation ModelingClassification

    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. · Department of Computer Science, University of Milan, Milan, Italy. · Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy. +1

  22. Fast, Parallel, Query-Efficient Binary Classification

    Jul 5, 2026Ishani Karmarkar, Liam O'Carroll, Aaron SidfordBinary ClassificationClassification

    Stanford University

  23. A Unified Algebraic Framework for Classification Performance Evaluation

    Jul 4, 2026Ronaldo C. PratiClassification

    Universidade Federal do ABC (UFABC), Av. dos Estados, 5001, Santo André, SP, 09210-580, Brazil

  24. When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah

    Jul 4, 2026AlJawharh S. AlOtaibi, Mohamed Eltahir, Jude AlSubaieTabular Foundation ModelsFew-Shot Learning

    Riyadh, Saudi Arabia

  25. How Do Diffusion Classifiers Decide? A Bias-Centric Evaluation

    Jul 4, 2026Saba Fathi, Fardin Ayar, Maryam Abdolali +3ClassificationZero-Shot Image Classification

    2Amirkabir University of Technology, Tehran, Iran · 1K. N. Toosi University of Technology, Tehran, Iran · 3The University of Tokyo, Tokyo, Japan

  26. MMAO-Cls: Metabolic Multi-Agent Optimization for Joint Feature Selection and Classifier Tuning

    Jul 1, 2026Jinliang Xu, Liping MaModel SelectionMulti-Agent System Optimization

    independent researcher in Beijing, China · Department of Disease Control and Prevention, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China

  27. Localized Conformal Prediction for Image Classification with Vision-Language Models

    Jun 30, 2026Clément Fuchs, Tim Bary, Benoît MacqConformal PredictionClassification

    ICTEAM, UCLouvain Louvain-la-Neuve, Belgium

  28. Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again

    Jun 30, 2026Zakk Heile, Hayden McTavish, Margo Seltzer +1Ensemble LearningLearning to Defer

    Department of Computer Science · Duke University · Durham, USA +2

  29. Fast approximation and learning of binary classification tasks in o-minimal structures using ReLU neural networks

    Jun 29, 2026Clemens Kinn, Philipp PetersenReLU Neural NetworksBinary Classification

    Faculty of Mathematics, University of Vienna, 1090 Vienna, Austria

  30. Structured Proper Loss Geometries for Multiclass Classification: Theory and Controlled Empirical Evaluation

    Jun 28, 2026Soumyadip SarkarProper Scoring RulesMulticlass Classification

    Independent Researcher