Classification

Momentum

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

Jul 13Week of Sep 28

Latest papers 254

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  1. A Kernel Fisher Discriminant Analysis-Based Tree Ensemble Classifier: KFDA Forest

    Jun 27, 2026Donghwan Kim, Seung Hwan Park, Jun-Geol BaekEnsemble LearningClassification

  2. Categorizing Mathematical Concepts with LLM Voting Ensembles in Mathswitch

    Jun 27, 2026Katja Berčič, Slobodan StanojevikjLLM-as-a-JudgeClassification

  3. Surprises in Proper Positive-Only Learning

    Jun 26, 2026Shai Ben-David, Farnam Mansouri, Anay Mehrotra +1Binary ClassificationClassification

  4. Non-Linear Strategic Classification Made Practical

    Jun 26, 2026Jack Geary, Boyan Gao, Henry GoukStrategic ClassificationClassification

  5. MGI: Member vs Generated Inference

    Jun 22, 2026Bihe Zhao, Michel Meintz, Juangui Xu +2Image GenerationMemorization in Generative Models

  6. Discovering Latent Groups for Robust Classification

    Jun 22, 2026Ankur Garg, Ulrich Aïvodji, Samira Ebrahimi Kahou +1Interpretable MLNeural Network Robustness

  7. Approximating velocity fields with planted attractors via Neural-ODEs for classification purposes

    Jun 22, 2026Feliciano Giuseppe Pacifico, Duccio Fanelli, Lorenzo Buffoni +3Dynamic Neural NetworksClassification

  8. Black-Box Forensics for Conversational LLM Agents

    Jun 21, 2026Isadora White, Yasaman Jafari, Taylor Berg-KirkpatrickLanguage Model FingerprintingLLM Agent Security

  9. QeHDC: Hyperdimensional Computing based on Quantum-enhanced binding and SuperClass Construction

    Jun 21, 2026Yangjie Xu, Hui Huang, Li Ning +1Hybrid Quantum-Classical MLHyperdimensional Computing

  10. Clinical Term Extraction using Open-Source Small Language Models

    Jun 19, 2026Noah Marchal, William E. Janes, Mihail Popescu +1Small Language ModelsClinical Information Extraction

  11. Clusters are All You Need: Pre-Training the Tsetlin Machine with Semantic Clusters from Language Models for Interpretability

    Jun 18, 2026Jiechao Gao, Rohan Kumar Yadav, Yuangang Li +4Interpretable MLText Classification

  12. Efficient Neural Network Model Selection for Few-Class Application Datasets

    Jun 18, 2026Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman +2Model SelectionClassification

  13. Zero-Shot Active Feature Acquisition via LLM-Elicitation

    Jun 17, 2026Binyamin Perets, Natalie Mendelson, Shiran Vainberg +3Zero-Shot LearningMarkov Random Fields

  14. Meta-classification of one-class classification models using ranking correlation and nearest neighbor

    Jun 16, 2026Toshitaka Hayashi, Hamido Fujita, Dalibor Cimr +2ClassificationOne-Class Classification

  15. Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier

    Jun 15, 2026S. A. K. Leeney, W. J. Handley, H. T. J. Bevins +1Neural Network RobustnessNoisy-Label Learning

  16. Inference-Time Decision Calibration for Temporal Classification

    Jun 14, 2026Arthur Chagas, Arthur Buzelin, Yan Aquino +4Post-Hoc CalibrationTime Series Classification

  17. Decomposing one-class support vector machine into an ensemble of one-data support vector machines

    Jun 14, 2026Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita +1Support Vector MachinesClassification

  18. The Circumplex Degeneracy Behind the Rare-Class Limit in Affect Recognition

    Jun 14, 2026Van Thong Huynh, Hong Hai Nguyen, Soo-Hyung KimClass-Imbalanced LearningFacial Expression Recognition

  19. A Bregman Perspective on Classification and Regression Trees

    Jun 12, 2026Mathias BourelFunctional Bregman DivergencesDecision Tree Learning

  20. Majority-of-Three is Optimal

    Jun 11, 2026Divit Rawal, Nikita ZhivotovskiyEnsemble LearningClassification

  21. Decoding Insect Song: A Multitask Semisupervised Orthoptera Bioacoustic Classifier

    Jun 11, 2026Olga Isupova, Danil Kuzin, Ella Browning +2Audio Representation LearningAudio Understanding

  22. Distributional Loss for Robust Classification

    Jun 11, 2026Kathleen Anderson, Thomas MartinetzRobust Loss FunctionsClassification

  23. Learning from almost nothing: How neural networks survive heavy input corruption

    Jun 9, 2026Justin Tahmassebpur, Asadullah Bhuiyan, Hyejin Kim +1Neural Network GeneralizationMultilayer Perceptrons

  24. Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin

    Jun 9, 2026Luyuan Yang, Shayan Shafaei, Chao LanClassificationk-Nearest Neighbors

  25. Beyond Neural Collapse: Task-Intrinsic Geometry Governs Neural Representations in Modular Arithmetic

    Jun 8, 2026Hu Tan, Kuo Gai, Shihua ZhangNeural Representation GeometryClassification

  26. Style or Content? Evaluating Style Classifiers with Controlled Content Overlap

    Jun 5, 2026Zhuo Liu, Haozheng Du, Xiangxiang Xu +1Text ClassificationClassification