Overview

Multiclass classification studies how to assign an input to one of several possible categories, a task used in settings from medical diagnosis and image recognition to text analysis and fault detection. Common approaches include softmax and linear classifiers, decision trees and boosting, neural networks, ensembles, and structured methods such as one-vs-rest or hierarchical classification. Researchers also develop losses and sampling strategies for noisy or imbalanced data, and use classwise recall, macro-F1, calibration, and prediction sets to assess reliability beyond overall accuracy. A central challenge is balancing strong average performance with dependable predictions for rare or ambiguous classes; theoretical work studies sample-complexity limits, while practical work seeks methods that remain efficient, fair, and robust.

Latest papers

CardsList

97 papers13 papers in the last four weeks, up 8% on the four weeks before. 0.1% of all new papers.

  1. Gradient descent reaches arbitrary accuracy in a fixed number of large steps on multiclass logistic regression

    Oct 19, 2026Andreea-Alexandra Musat, Nicolas BoumalGradient DescentLogistic Regression

  2. PAC Learning with Query Feedback

    Oct 16, 2026Chase Hutton, Adam Melrod, Han ShaoPAC LearningMulticlass Classification

  3. A Feature Selection Layer Approach for Multi-Class Classification on Neural Networks

    Oct 16, 2026João Pedro Silveira e Silva, Márcio Dorn, Bruno Iochins GrisciFeature SelectionFeature Attribution

  4. Random Feature Pruning for Multi-Class Classification

    Oct 10, 2026Mohammad Amin Omidi, Babak Seyfe, Shahrokh ValaeeFeature SelectionRandom Feature Methods

  5. Private and Distributionally Robust Federated Multiclass Classification

    Oct 9, 2026Andrea P. Hernandez, Michael Ibrahim, Nagi GebraeelDifferentially Private Federated LearningMulticlass Classification

  6. From Geometry to Generalization: Why Row Normalization Can Beat Adam and Muon

    Oct 8, 2026Jihwan Kim, Dogyoon Song, Chulhee YunAdaptive Gradient MethodsClassification

  7. Compact set-valued deep ensembling in multi-class classification

    Oct 4, 2026Kim-Dung Tran, Dang-Man Nguyen, Vu-Linh Nguyen +3Deep EnsemblesMulticlass Classification

  8. Hierarchical Utility Calibration for Structured Multiclass Decisions

    Sep 29, 2026Futoshi Futami, Jerry Huang, Ichiro TakeuchiProbability CalibrationMulticlass Classification

  9. Multi-Class, Multi-Tier Network Intrusion Detection: A Comprehensive and Reproducible Benchmark

    Sep 28, 2026Yufeng Xin, Bryant Goseland, Mohamed RahoutiNetwork Intrusion DetectionMulticlass Classification

  10. Identifiability Limits of Gravitational Wave Phase Deviations: Multiclass Classification with a Multihead Neural Network

    Sep 25, 2026Lavinia Heisenberg, Shayan HemmatyarGravitational-Wave AstronomyInverse Problems

  11. Morphology-Aware Ambiguity Learning for Wafer Defect Decision Support

    Sep 18, 2026Seungjun Chu, Seokhyun ChungClassificationSemiconductor Manufacturing

  12. Bayesian classification of astronomical spectra with class uncertainties

    Sep 18, 2026Simon Barton, Martin Sahlén, Andreas Korn +1Monte Carlo DropoutMulticlass Classification

  13. SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws

    Sep 7, 2026Konstantinos Christopher Tsiolis, Denny Wu, Christos Thrampoulidis +1Logistic RegressionMulticlass Classification

  14. Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels

    Sep 7, 2026Igor Zingman, Shada Abuhattum, Sara Kaliman +8Multi-Label ClassificationMulticlass Classification

  15. Large Classification-Risk-Optional Label Acquisition

    Sep 6, 2026F. Setoudehtanzangi, Geoffrey J. McLachlanActive LearningMulticlass Classification

  16. One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context

    Sep 1, 2026Skanda Athreya, Yutong WangTransformerIn-Context Learning

  17. Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

    Aug 31, 2026Fariborz Setoudehtazang, Geoffrey J. McLachlanInformation GeometryLearning with Missing Data

  18. Fairness in multi-class multi-group classification problems via contextial coherent risk measures

    Aug 31, 2026Darinka Dentcheva, Xiangyu TianAlgorithmic FairnessMulticlass Classification

  19. Multiclass Linear Perceptrons with Multiplicative Margins

    Aug 30, 2026Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov +2Linear ClassificationMulticlass Classification

  20. Adversarial Online Classification with a Preview

    Aug 30, 2026Roi Livni, Sahil SinglaOnline LearningStatistical Learning Theory

  21. Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning

    Aug 27, 2026Julian Asilis, Shaddin Dughmi, Vatsal Sharan +3Statistical Learning TheoryMulticlass Classification

  22. PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors

    Aug 24, 2026Nathan Duboisset, Zhaolan Huang, Felix Bießmann +3Bird Vocalization ClassificationAudio Classification