Multi-class Classification

Multi-class classification is a type of supervised learning where the goal is to assign an input to one of three or more distinct classes. Unlike binary classification (which has only two classes), multi-class classification handles multiple labels and uses algorithms like logistic regression, decision trees, random forests, SVMs, or neural networks to predict the correct category based on the features of the input data.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 126–150 of 903 papers

Title	Date	Tasks	Status	Score
A Topological Data Analysis Based Classifier	Nov 9, 2021	Multi-class ClassificationTopological Data Analysis	CodeCode Available	5
Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks	Apr 15, 2018	ClusteringMulti-class Classification	CodeCode Available	5
Achieving Equalized Odds by Resampling Sensitive Attributes	Jun 8, 2020	AttributeFairness	CodeCode Available	5
Federated Learning with Only Positive Labels	Apr 21, 2020	Federated LearningMulti-class Classification	CodeCode Available	5
Extrapolating Expected Accuracies for Large Multi-Class Problems	Dec 27, 2017	General ClassificationMulti-class Classification	CodeCode Available	5
AMF: Aggregated Mondrian Forests for Online Learning	Jun 25, 2019	General ClassificationMulti-class Classification	CodeCode Available	5
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays	Jun 21, 2024	Multi-class ClassificationPneumonia Detection	CodeCode Available	5
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets	Apr 16, 2022	DiagnosticFew-Shot Learning	CodeCode Available	5
A matter of attitude: Focusing on positive and active gradients to boost saliency maps	Sep 22, 2023	Multi-class Classification	CodeCode Available	5
A Semantic Loss Function for Deep Learning with Symbolic Knowledge	Nov 29, 2017	Deep LearningGeneral Classification	CodeCode Available	5
A Masked Face Classification Benchmark on Low-Resolution Surveillance Images	Nov 23, 2022	ClassificationMulti-class Classification	CodeCode Available	5
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation	Aug 6, 2019	AttributeClassification	CodeCode Available	5
Exponentially Convergent Algorithms for Supervised Matrix Factorization	Nov 18, 2023	Multi-class Classification	CodeCode Available	5
Financial Data Analysis with Robust Federated Logistic Regression	Apr 28, 2025	Federated LearningMulti-class Classification	CodeCode Available	5
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning	Jun 18, 2015	General ClassificationMulti-class Classification	CodeCode Available	5
Evaluating approaches for supervised semantic labeling	Jan 29, 2018	BIG-bench Machine LearningData Integration	CodeCode Available	5
Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications	Jan 15, 2025	Multi-class Classification	CodeCode Available	5
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study	Jan 30, 2024	Anomaly DetectionDataset Generation	CodeCode Available	5
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss	Apr 20, 2017	Multi-class Classification	CodeCode Available	5
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification	Jan 23, 2017	Binary ClassificationClassification	CodeCode Available	5
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification	Sep 26, 2019	General Classificationgraph construction	CodeCode Available	5
Enhanced Network Embedding with Text Information	Nov 29, 2018	ClusteringMulti-class Classification	CodeCode Available	5
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers	Aug 23, 2023	Multi-class Classification	CodeCode Available	5
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes	Jun 12, 2023	Multi-class Classification	CodeCode Available	5
Adaptive Gradient Methods Converge Faster with Over-Parameterization (but you should do a line-search)	Jun 11, 2020	Binary ClassificationMulti-class Classification	CodeCode Available	5

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All datasets COVID-19 CXR Dataset COVID chest X-ray Reuters-52 TII-SSRC-23 Training and validation dataset of capsule vision 2024 challenge.

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	COVID-CXNet	Accuracy (%)	94.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	COVID-ResNet	F1 score	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM (tficf)	Macro F1	73.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Extra Trees	F1-Score	93.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Model Ensemble	Mean AUC	0.99	—	Unverified