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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 2301–2350 of 14581 papers

TitleStatusHype
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph 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
Image Classification by Reinforcement Learning with Two-State Q-LearningCode1
Digit Image Recognition Using an Ensemble of One-Versus-All Deep Network Classifiers—0
Fast Training of Deep Networks with One-Class CNNs—0
Frequency learning for image classification—0
VPNet: Variable Projection Networks—0
K-Nearest Neighbour and Support Vector Machine Hybrid Classification—0
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream ClassificationCode0
Multi-element microscope optimization by a learned sensing network with composite physical layers—0
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image ClassificationCode0
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual 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
Biologically Plausible Learning of Text Representation with Spiking Neural Networks—0
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification—0
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural NetworksCode1
End-to-end training of deep kernel map networks for image classification—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
Adaptive additive classification-based loss for deep metric learning—0
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case—0
Scalable Data Classification for Security and Privacy—0
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung—0
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification—0
Duodepth: Static Gesture Recognition Via Dual Depth SensorsCode0
Parametric Instance Classification for Unsupervised Visual Feature LearningCode1
High-Dimensional Quadratic Discriminant Analysis under Spiked Covariance Model—0
A New Modal Autoencoder for Functionally Independent Feature Extraction—0
SmallBigNet: Integrating Core and Contextual Views for Video ClassificationCode1
The Max-Cut Decision Tree: Improving on the Accuracy and Running Time of Decision Trees—0
Background Knowledge Injection for Interpretable Sequence Classification—0
Learning Data Augmentation with Online Bilevel Optimization for Image ClassificationCode1
Learning Semantically Enhanced Feature for Fine-Grained Image ClassificationCode1
Defending against adversarial attacks on medical imaging AI system, classification or detection?Code0
Learning Interclass Relations for Image Classification—0
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
Multilabel Classification by Hierarchical Partitioning and Data-dependent GroupingCode0
Dynamic Functional Connectivity and Graph Convolution Network for Alzheimer's Disease Classification—0
Fairness with Overlapping Groups—0
Large-scale detection and categorization of oil spills from SAR images with deep learning—0
Distribution-Based Invariant Deep Networks for Learning Meta-Features—0
Self-supervised edge features for improved Graph Neural Network trainingCode1
Learning Gradient Boosted Multi-label Classification RulesCode1
Attention-Based Neural Networks for Sentiment Attitude Extraction using Distant SupervisionCode0
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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