SOTAVerified

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

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Showing 676–700 of 903 papers

TitleStatusHype
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit—0
Progressive Fashion Attribute Extraction—0
AMF: Aggregated Mondrian Forests for Online LearningCode0
Binary Stochastic Representations for Large Multi-class Classification—0
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy—0
Efficient Set-Valued Prediction in Multi-Class ClassificationCode1
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods—0
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks—0
Non-Parametric Calibration for ClassificationCode0
Primal-Dual Block Frank-WolfeCode0
SC-UPB at the VarDial 2019 Evaluation Campaign: Moldavian vs. Romanian Cross-Dialect Topic Identification—0
Beyond Context: A New Perspective for Word Embeddings—0
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings—0
On the computational complexity of the probabilistic label tree algorithms—0
A Generalization Error Bound for Multi-class Domain Generalization—0
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence RatesCode0
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing—0
Semi-Supervised Learning with Scarce AnnotationsCode0
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning—0
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes—0
Multiclass Language Identification using Deep Learning on Spectral Images of Audio Signals—0
Prediction and outlier detection in classification problems—0
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation—0
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models—0
Outlier Detection from Image Data—0
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All datasetsCOVID-19 CXR DatasetCOVID chest X-rayReuters-52TII-SSRC-23Training and validation dataset of capsule vision 2024 challenge.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1COVID-CXNetAccuracy (%)94.2—Unverified
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1COVID-ResNetF1 score0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SVM (tficf)Macro F173.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Extra TreesF1-Score93.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Model EnsembleMean AUC0.99—Unverified