SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9551–9575 of 14581 papers

TitleStatusHype
Diffusion Maps for Textual Network Embedding—0
Diffusion Methods for Classification with Pairwise Relationships—0
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks—0
Dilated LSTM with attention for Classification of Suicide Notes—0
Dimensionality reduction for acoustic vehicle classification with spectral embedding—0
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models—0
Dimensionality Reduction for Sentiment Classification: Evolving for the Most Prominent and Separable Features—0
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning—0
Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection—0
Dimension Reduction with Non-degrading Generalization—0
DINE: A Framework for Deep Incomplete Network Embedding—0
Direct 0-1 Loss Minimization and Margin Maximization with Boosting—0
Direct Classification of Emotional Intensity—0
Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study—0
Directed hypergraph neural network—0
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping—0
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications—0
Directional convergence and alignment in deep learning—0
Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation—0
Directional PointNet: 3D Environmental Classification for Wearable Robotics—0
Direct l_(2,p)-Norm Learning for Feature Selection—0
Direct Uncertainty Prediction for Medical Second Opinions—0
Dirichlet-based Histogram Feature Transform for Image Classification—0
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora—0
Disassembling Object Representations without Labels—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified