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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 676–700 of 903 papers

TitleStatusHype
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance PropagationCode0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
A Multi-Task Self-Normalizing 3D-CNN to Infer Tuberculosis Radiological Manifestations—0
Collaborative Filtering and Multi-Label Classification with Matrix Factorization—0
GraphX^NET- Chest X-Ray Classification Under Extreme Minimal Supervision—0
Deep Multi Label Classification in Affine Subspaces—0
Predicting Customer Call Intent by Analyzing Phone Call Transcripts based on CNN for Multi-Class Classification—0
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification—0
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
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
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings—0
Beyond Context: A New Perspective for Word Embeddings—0
On the computational complexity of the probabilistic label tree algorithms—0
SC-UPB at the VarDial 2019 Evaluation Campaign: Moldavian vs. Romanian Cross-Dialect Topic Identification—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
Show:102550
← PrevPage 28 of 37Next →
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
#ModelMetricClaimedVerifiedStatus
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