SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6551–6575 of 14581 papers

TitleStatusHype
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks—0
Improved Adversarial Learning for Fair Classification—0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Active learning for binary classification with variable selection—0
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem—0
catch22: CAnonical Time-series CHaracteristicsCode1
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 ClassificationCode0
Heartbeat Anomaly Detection using Adversarial OversamplingCode0
Label Efficient Semi-Supervised Learning via Graph FilteringCode0
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network—0
Using Pre-Training Can Improve Model Robustness and UncertaintyCode0
Quasi-Newton Methods for Machine Learning: Forget the Past, Just SampleCode0
Neural eliminators and classifiers—0
Squeezed Very Deep Convolutional Neural Networks for Text ClassificationCode0
End-to-End Discriminative Deep Network for Liver Lesion Classification—0
A new evaluation framework for topic modeling algorithms based on synthetic corporaCode0
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition—0
TUNet: Incorporating segmentation maps to improve classification—0
On Symmetric Losses for Learning from Corrupted LabelsCode0
ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic RegressionCode0
Concrete Autoencoders for Differentiable Feature Selection and ReconstructionCode0
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study—0
Anomaly detecting and ranking of the cloud computing platform by multi-view learning—0
Fixup Initialization: Residual Learning Without NormalizationCode0
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes SettingCode1
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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