SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 14581 papers

TitleStatusHype
IntrA: 3D Intracranial Aneurysm Dataset for Deep LearningCode1
Explanation-Guided Backdoor Poisoning Attacks Against Malware ClassifiersCode1
Fast Predictive Uncertainty for Classification with Bayesian Deep NetworksCode1
Membership Inference Attacks and Defenses in Classification ModelsCode1
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral MeasuresCode1
Rethinking the Route Towards Weakly Supervised Object LocalizationCode1
PointAugment: an Auto-Augmentation Framework for Point Cloud ClassificationCode1
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classificationCode1
End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label ClassificationCode1
Self-Adaptive Training: beyond Empirical Risk MinimizationCode1
Learning Attentive Pairwise Interaction for Fine-Grained ClassificationCode1
MAGNET: Multi-Label Text Classification using Attention-based Graph Neural NetworkCode1
Sketchformer: Transformer-based Representation for Sketched StructureCode1
Scheduled Restart Momentum for Accelerated Stochastic Gradient DescentCode1
Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural NetworkCode1
One-Class Graph Neural Networks for Anomaly Detection in Attributed NetworksCode1
Enzyme promiscuity prediction using hierarchy-informed multi-label classificationCode1
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot TasksCode1
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision SystemsCode1
Unifying Graph Convolutional Neural Networks and Label PropagationCode1
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance LearningCode1
Extreme Classification via Adversarial Softmax ApproximationCode1
Automatically Discovering and Learning New Visual Categories with Ranking StatisticsCode1
Superpixel Image Classification with Graph Attention NetworksCode1
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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