SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 7026–7050 of 14581 papers

TitleStatusHype
Robust Graph Learning from Noisy DataCode0
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network—0
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set—0
The Recognition Of Persian Phonemes Using PPNet—0
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition—0
Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier—0
Classification using Ensemble Learning under Weighted Misclassification LossCode0
Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selection—0
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN—0
Generative adversarial networks for generation and classification of physical rehabilitation movement episodes—0
Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learningCode0
A short review on Applications of Deep learning for Cyber security—0
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples—0
Rethinking Layer-wise Feature Amounts in Convolutional Neural Network ArchitecturesCode0
Probabilistic Class-Specific Discriminant Analysis—0
Measuring Similarity: Computationally Reproducing the Scholar's Interests—0
Making Sense of Random Forest Probabilities: a Kernel Perspective—0
Bias Mitigation Post-processing for Individual and Group Fairness—0
Few-shot classification in Named Entity Recognition TaskCode0
Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation—0
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label RulesCode0
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)—0
Learning Features of Network Structures Using Graphlets—0
ELASTIC: Improving CNNs with Dynamic Scaling PoliciesCode0
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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