SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 201–250 of 14581 papers

TitleStatusHype
Clustering Aware Classification for Risk Prediction and Subtyping in Clinical DataCode1
Can AI help in screening Viral and COVID-19 pneumonia?Code1
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph ClassificationCode1
CatBoost: gradient boosting with categorical features supportCode1
Categorical Reparameterization with Gumbel-SoftmaxCode1
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological AttacksCode1
Circumventing Outliers of AutoAugment with Knowledge DistillationCode1
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learningCode1
Classification and understanding of cloud structures via satellite images with EfficientUNetCode1
Classification-Based Anomaly Detection for General DataCode1
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image RepresentationCode1
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer LearningCode1
Infant Crying Detection in Real-World EnvironmentsCode1
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer LearningCode1
A Machine Learning Benchmark for Facies ClassificationCode1
Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?Code1
ALL-IN-1: Short Text Classification with One Model for All LanguagesCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
CNN Architectures for Large-Scale Audio ClassificationCode1
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR ImagesCode1
Accumulated Polar Feature-based Deep Learning for Efficient and Lightweight Automatic Modulation Classification with Channel Compensation MechanismCode1
Coherent Hierarchical Multi-Label Classification NetworksCode1
Complementary-Label Learning for Arbitrary Losses and ModelsCode1
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial OcclusionCode1
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural NetworkCode1
Concept Matching for Low-Resource ClassificationCode1
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced LearningCode1
Consistency-based Active Learning for Object DetectionCode1
Rank consistent ordinal regression for neural networks with application to age estimationCode1
Constrained Extreme Learning Machines: A Study on Classification CasesCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG ClassificationCode1
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT ClassificationCode1
Contrastive Learning for Sports Video: Unsupervised Player ClassificationCode1
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
Contributions of Shape, Texture, and Color in Visual RecognitionCode1
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image ClassificationCode1
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible EvaluationCode1
ViViT: A Video Vision TransformerCode1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced DataCode1
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus ImagesCode1
Counterfactual Visual ExplanationsCode1
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly DetectionCode1
Achieving robustness in classification using optimal transport with hinge regularizationCode1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential EquationsCode1
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information MaximizationCode1
Cross-Domain Sentiment Classification with In-Domain Contrastive LearningCode1
Cross-modal Adversarial ReprogrammingCode1
A kernel-based quantum random forest for improved classificationCode1
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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