SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2301–2325 of 14581 papers

TitleStatusHype
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis—0
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic GraphCode0
CC-Loss: Channel Correlation Loss For Image Classification—0
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling—0
Chatbot Interaction with Artificial Intelligence: Human Data Augmentation with T5 and Language Transformer Ensemble for Text Classification—0
Signal classification using weighted orthogonal regression method—0
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data—0
A Neurochaos Learning Architecture for Genome ClassificationCode0
A Skew-Sensitive Evaluation Framework for Imbalanced Data ClassificationCode0
Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations—0
Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification—0
Learning Task-aware Robust Deep Learning Systems—0
End-to-End Radio Fingerprinting with Neural Networks—0
End to End Binarized Neural Networks for Text Classification—0
GuCNet: A Guided Clustering-based Network for Improved Classification—0
Weakly Supervised Medication Regimen Extraction from Medical Conversations—0
Automatic Particle Trajectory Classification in Plasma Simulations—0
Noise in Classification—0
Multi-path Neural Networks for On-device Multi-domain Visual Classification—0
Distilling a Deep Neural Network into a Takagi-Sugeno-Kang Fuzzy Inference System—0
Adversarial Self-Supervised Data-Free Distillation for Text Classification—0
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments—0
Neural Networks as Functional ClassifiersCode0
Measuring What Counts: The case of Rumour Stance Classification—0
Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy imagesCode0
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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