Classification

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Overview

Classification studies how to assign inputs such as images, text, signals, graphs, and tabular records to discrete categories, supporting decisions across science and everyday systems. Methods range from linear and kernel discriminants, trees and ensembles, and deep neural networks to pretrained language and vision models, using supervised, few-shot, semi-supervised, and in-context learning. Current work also addresses class imbalance, label noise, distribution shift, open-set recognition, calibration, abstention, and structured labels through robust losses, uncertainty estimates, retrieval, and hierarchical or multimodal models. A central tension is that high benchmark accuracy can conceal shortcut reliance, poor calibration, subgroup failures, or weak transfer, so evaluation increasingly tests reliability, error costs, and performance under deployment shifts.

Latest papers

CardsList

413 papers54 papers in the last four weeks, down 4% on the four weeks before. 0.3% of all new papers.

  1. Integrated Feature Selection for classification and Representation Learning with Group-Lasso Siamese Networks

    Oct 29, 2026Nisargo Ranjan Pal, Pradeep SinghFeature SelectionSiamese Neural Networks

    Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha 751024, India · department of Computer Sc & Engineering, National Institute of Technology Raipur 492010, India

  2. CBE: A Complexity-adaptive Boundary-aware Ensemble Method for Imbalanced Data

    Oct 29, 2026Xun WeiClass-Imbalanced LearningClassification

    School of Industrial Software, Jiangxi University of Science and Technology, Nanchang 330044, China

  3. BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios

    Oct 28, 2026Ruoxi Piao, Alicia Lu, Yunzhen Zhang +2Multimodal Model RoutingCross-Modal Representation Transfer

    Duke Kunshan University · Ankara University

  4. Online gas classification at the edge

    Oct 27, 2026Ton Juny Pina, Hugh Greatorex, Elisabetta ChiccaClassificationBinary Neural Networks

    Bio-Inspired Circuits and Systems (BICS) Lab, Zernike Institute for Advanced Materials, University of Groningen, Netherlands. · Groningen Cognitive Systems and Materials Center (CogniGron), University of Groningen, Netherlands. · Institute of Neuroinformatics, University of Zurich and ETH Zurich.

  5. Bug Severity Classification with Fine-Tuned Open LLMs: A Paired Comparison with TF-IDF and CodeBERT Baselines on Eclipse Reports

    Oct 25, 2026Asset Kanatov, Talgar Bayan, Askar BoranbayevClassificationLarge Language Model-Based Text Classification

    School of Computing and Artificial Intelligence (SCAI), Nazarbayev University, Astana, Kazakhstan · University of Manchester, Manchester, United Kingdom

  6. Inference-Time Prior Adaptation for Imbalanced Data Streams under Concept Drift

    Oct 23, 2026Tobias Callies, Eirini Ntoutsi, Arthur ZimekClassificationConcept Drift

    University of the Bundeswehr Munich · University of Southern Denmark

  7. aggmetrics: Aggregating Classification Performance Measures for Machine Learning

    Oct 21, 2026Ronaldo Cristiano PratiClassification

    Universidade Federal do ABC (UFABC), Santo André, SP, Brazil

  8. Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation

    Oct 21, 2026Khush Kataruka, Mohammad Muzammila, Zahid Akhtar +2ClassificationCross-Domain Generalization

    Department of Artificial Intelligence, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India. · Electrical and Computer Engineering Department, State University of New York Polytechnic Institute, Utica, New York, USA. · Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Gjovik, Norway.

  9. Region-Specific EEG Classification of Hypnotic Susceptibility Using a Sliding-Window 2D CNN: A Subject-Independent Evaluation

    Oct 20, 2026Krzysztof Wrobel, Grzegorz M. WojcikClassificationCross-Subject EEG Decoding

    Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Skłodowska University, Lublin, Poland

  10. EEG-Based Classification of Hypnotic Susceptibility Using Two-Dimensional Convolutional Neural Networks

    Oct 20, 2026Krzysztof Wrobel, Grzegorz M. Wojcik, Filip Postepski +3ClassificationEEG Decoding

    Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Skłodowska University, Akademicka 9, 20-031 Lublin, Poland · Institute of Psychology, SWPS University, Chodakowska 19/31, 03-815 Warsaw, Poland

  11. Structured-Token Attention for Fine-Grained mmWave Liquid Identification

    Oct 20, 2026Junseo Min, Joongheon KimClassificationAttention Mechanisms

    Department of Defense Convergence Technology, Korea University, Seoul, Republic of Korea · Department of Electrical & Computer Engineering, Korea University, Seoul, Republic of Korea

  12. Gaussian Approximation of Besov Functions for Logistic Classification on Manifolds

    Oct 19, 2026Guanhang Lei, Lei Shi, Xiaoming YuanClassificationStatistical Learning Theory

    Department of Mathematics, The University of Hong Kong, Hong Kong, China · School of Mathematical Sciences, Shanghai Key Laboratory for Contemporary Applied Mathematics, Center for Applied Mathematics, Fudan University, Shanghai, China

  13. On the Benefits of Uncertainty Estimation for Species Classification: A Case Study on Optimizing Expert re-Annotation

    Oct 19, 2026Kamenan N'Gadi, Martin Laviale, C{é}dric Pradalier +1ClassificationSelective Prediction

    LORIA,BISCUIT · LIEC,LTSER-ZAM

  14. The Optimal Ranking Tradeoffs Between Two Ranking Scores in Two-Class Classification

    Oct 16, 2026Sébastien Piérard, Adrien Deliège, Marc Van DroogenbroeckClassificationMulti-Criteria Decision Analysis

    Montefiore Institute, University of Liège, Liège, Belgium

  15. On the tradeoff between robustness and geometric accuracy in adversarial training

    Oct 16, 2026Rachel Morris, Ryan Murray, Kerrek StinsonAdversarial RobustnessRobust Classification

  16. Clinically Informed Acoustic-Aware Attribute Modeling for Respiratory Sound Classification

    Oct 16, 2026Xinhong Li, Li Xiao, Ziyang Chen +2Respiratory Sound ClassificationClassification

    School of Computer Science, Wuhan University, Wuhan, China · Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China

  17. Deterministic Bounds on Accuracy and Stability of Metric-Space Regression and Classification

    Oct 15, 2026Nina Maria Gottschling, Jakob Gawlikowski, Michele CaprioStatistical Learning TheoryGeneralization Bounds

    Computing and Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee. · German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany. · Department of Computer Science, University of Warwick, Coventry, United Kingdom.

  18. Quantum Versus Classical Machine Learning for Neuropsychiatric Disorders: A Feature-Matched Multi-Cohort Evaluation

    Oct 15, 2026Utsav Poudel, Anuj Nepal, Vyas Viswanath +1Quantum Machine LearningClassification

    School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India · Universal Higher Education, Melbourne, Australia

  19. ONCship: A Large-Scale Underwater Acoustic Corpus for Ship Recognition

    Oct 14, 2026Zhe Cao, Jichao Zhang, Xiao-Lei ZhangClassificationAudio Representation Learning

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, 710072, China · Research and Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518063, China

  20. Detecting Unreliable Classifications from Quantized Models

    Oct 13, 2026Ananya Kotla, Jorge T. GomezPost-Training QuantizationClassification

  21. Overcoming Catastrophic Forgetting: Continual Learning for Radar Waveform Classification

    Oct 13, 2026Mohamed Rabie, Chinthana J. Panagamuwa, Konstantinos G. KyriakopoulosContinual LearningCatastrophic Forgetting

    Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, U.K.

  22. Separating Prompt Harmfulness from Interaction Safety via Partial Generation

    Oct 12, 2026Ram Vikas Mishra, Shashank Aggarwal, Jahnavi Kumar +1LLM SafetyLLM Guardrails

    Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India

  23. DWI Connectome-based Sex Classification in Young using Supervised Variational Autoencoder

    Oct 12, 2026Aditya Kothapalli, Aaryan Gera, Sathvik Reddy +3ClassificationNeuroimaging

    Dept. of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India · Vision and Artificial Intelligence Lab, Indian Institute of Science (IISc), Bengaluru, India · Dept. of Artificial Intelligence, Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru, India +1

  24. Rescuing Points Trapped Inside Incorrect Decision Regions: A target for Evaluating and Improving Forward-Forward Learning

    Oct 12, 2026Alireza Rahmansetayesh, Amirhossein Yousefiramandi, Maxwell Spiridonov +3Decision Boundary AnalysisForward-Forward Learning

    Department of Computer Science, University of California, Irvine, Irvine, CA, USA · Independent Researcher

  25. Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode

    Oct 12, 2026E. O. Gres, A. P. Kryukov, P. A. Volchigov +6ClassificationHigh-Energy Physics

    Irkutsk State University, Institute of Applied Physics, Irkutsk, 664003, blv. Gagarina, 20, Russia · Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics, Moscow, 119991 Leninskie gory,1, bld.2, Russia

  26. Gugak-VocalSet: A Multi-Genre Studio-Quality Dataset of Korean Traditional Singing with Sigimsae Annotations

    Oct 11, 2026Danbinaerin Han, Wonil Kim, Seah Hong +5Cultural HeritageClassification

    KAIST, Daejeon · Neutune, Seoul · National Gugak Center, Seoul

  27. WisdomNet: trustable machine learning toward error-free classification

    Oct 11, 2026Truong X. Tran, Ramazan S. AygunClassificationTrust in AI

    Computer Science Department, The University of Alabama in Huntsville, USA.

  28. Is a 9B Decision Foundation Model Needed for Symptom-to-Disease Classification? Fine-Tuning Clef-Flash Against TF-IDF Baselines

    Oct 10, 2026S. M. Mahbub Uddin AhmedMedical DiagnosisClinical Decision-Making

    Department of Computer Science and Engineering, United International University

  29. C2^2LUE: Clinically Aligned Patient-Level Ultrasound Diagnosis via Evidence-Aware Multi-Instance Learning

    Oct 9, 2026Qin-Yi Zhang, Linying Cao, De-Xing Huang +7Ultrasound Image ClassificationMultiple Instance Learning

    State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China

  30. Softmax Attention on Gaussian Mixtures: Linear When It Can, Selective When It Must

    Oct 8, 2026Simon Gabet, Etienne Boursier, Claire BoyerClassificationSoftmax Attention

    LMO · LMO, CELESTE · LMO, IUF