SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 1651–1675 of 14581 papers

TitleStatusHype
Improving Device Directedness Classification of Utterances with Semantic Lexical Features—0
Immigration Document Classification and Automated Response Generation—0
One-Shot learning based classification for segregation of plastic waste—0
Efficient SVDD Sampling with Approximation Guarantees for the Decision BoundaryCode0
EEMC: Embedding Enhanced Multi-tag Classification—0
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations—0
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples—0
Asymmetric Loss For Multi-Label ClassificationCode1
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach—0
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification—0
Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side InformationCode0
Graph-based methods for analyzing orchard tree structure using noisy point cloud data—0
Weakly Supervised-Based Oversampling for High Imbalance and High Dimensionality Data Classification—0
Self-Supervised Few-Shot Learning on Point CloudsCode1
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification—0
NatCat: Weakly Supervised Text Classification with Naturally Annotated ResourcesCode1
Orthrus: A Bimodal Learning Architecture for Malware ClassificationCode0
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionCode1
Recursive CSI Quantization of Time-Correlated MIMO Channels by Deep Learning ClassificationCode0
ECG Classification with a Convolutional Recurrent Neural Network—0
Instance-based Counterfactual Explanations for Time Series ClassificationCode1
A priori estimates for classification problems using neural networks—0
Multi-scale Receptive Fields Graph Attention Network for Point Cloud ClassificationCode0
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification—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