SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8851–8875 of 14581 papers

TitleStatusHype
Cortical Surface Co-Registration based on MRI Images and Photos—0
COSINE: Compressive Network Embedding on Large-scale Information Networks—0
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences—0
COSTA: Co-Occurrence Statistics for Zero-Shot Classification—0
Cost-aware Feature Selection for IoT Device Classification—0
Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning—0
Cost-Based Budget Active Learning for Deep Learning—0
Cost-based Feature Transfer for Vehicle Occupant Classification—0
Costly Features Classification using Monte Carlo Tree Search—0
Cost-Sensitive Approach to Batch Size Adaptation for Gradient Descent—0
Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data—0
Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification—0
Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation—0
Cost-sensitive detection with variational autoencoders for environmental acoustic sensing—0
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data—0
Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening—0
Cost-sensitive Semi-supervised Classification for Fraud Applications—0
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks—0
Co-Training for Classification of Live or Studio Music Recordings—0
Co-training for Demographic Classification Using Deep Learning from Label Proportions—0
Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation—0
Co-Training for Topic Classification of Scholarly Data—0
Counterfactual-based minority oversampling for imbalanced classification—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Counterfactual Fairness in Text Classification through Robustness—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