SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 2051–2075 of 14581 papers

TitleStatusHype
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon Entropy—0
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study—0
Classification by Attention: Scene Graph Classification with Prior Knowledge—0
On the Dynamics of Training Attention ModelsCode0
Novel Classification of Ischemic Heart Disease Using Artificial Neural Network—0
Neural network approximation and estimation of classifiers with classification boundary in a Barron class—0
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification—0
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images—0
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective—0
Kidney Level Lupus Nephritis Classification using Uncertainty Guided Bayesian Convolutional Neural NetworksCode0
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization—0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
Multimodal Prototypical Networks for Few-shot Learning—0
C-Learning: Learning to Achieve Goals via Recursive Classification—0
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networksCode0
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset—0
Probing Predictions on OOD Images via Nearest CategoriesCode0
Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders—0
A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image Classification—0
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels—0
Redesigning the classification layer by randomizing the class representation vectors—0
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?Code0
In-Car driver response classification using Deep Learning (CNN) based Computer VisionCode0
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification—0
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder—0
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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