SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2301–2325 of 14581 papers

TitleStatusHype
Multichannel CNN with Attention for Text Classification—0
Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method—0
Performing Image Classification for 10 Different Monkey Species using CNN—0
Digit Image Recognition Using an Ensemble of One-Versus-All Deep Network Classifiers—0
Image Classification by Reinforcement Learning with Two-State Q-LearningCode1
VPNet: Variable Projection Networks—0
Fast Training of Deep Networks with One-Class CNNs—0
K-Nearest Neighbour and Support Vector Machine Hybrid Classification—0
Frequency learning for image classification—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream ClassificationCode0
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image ClassificationCode0
Multi-element microscope optimization by a learned sensing network with composite physical layers—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification—0
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification—0
Uncertainty-aware Self-training for Text Classification with Few Labels—0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
End-to-end training of deep kernel map networks for image classification—0
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural NetworksCode1
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification—0
Biologically Plausible Learning of Text Representation with Spiking Neural Networks—0
Covariance-engaged Classification of Sets via Linear Programming—0
Proper Network Interpretability Helps Adversarial Robustness in ClassificationCode1
Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image ClassificationCode1
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified