SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 2926–2950 of 14581 papers

TitleStatusHype
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification—0
Applications of shapelet transform to time series classification of earthquake, wind and wave data—0
Yoga-82: A New Dataset for Fine-grained Classification of Human PosesCode0
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition—0
CodNN -- Robust Neural Networks From Coded Classification—0
A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm—0
Natural Disaster Classification using Aerial Photography Explainable for Typhoon Damaged Feature—0
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image ClassificationCode1
A Mathematical Programming approach to Binary Supervised Classification with Label Noise—0
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition—0
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification—0
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media—0
A novel embedded min-max approach for feature selection in nonlinear support vector machine classificationCode0
Considering Likelihood in NLP Classification Explanations with Occlusion and Language ModelingCode0
On-the-Fly Joint Feature Selection and Classification—0
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification—0
Tensor Networks for Medical Image ClassificationCode1
Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network—0
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax LayerCode1
New Metrics Between Rational Spectra and their Connection to Optimal TransportCode1
Towards Understanding Normalization in Neural ODEsCode1
Multi-label Stream Classification with Self-Organizing Maps—0
Class Distribution Alignment for Adversarial Domain Adaptation—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Improving correlation method with convolutional neural networks—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