SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7676–7700 of 14581 papers

TitleStatusHype
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep StagingCode0
Active Fairness in Algorithmic Decision Making—0
Learning Robust, Transferable Sentence Representations for Text Classification—0
Learning Confidence Sets using Support Vector Machines—0
A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria—0
An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content—0
Compressing the Input for CNNs with the First-Order Scattering TransformCode0
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics—0
Counterfactual Fairness in Text Classification through Robustness—0
Dataset: Rare Event Classification in Multivariate Time SeriesCode0
Dropout Distillation for Efficiently Estimating Model Confidence—0
Wafer Quality Inspection using Memristive LSTM, ANN, DNN and HTM—0
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural NetworksCode0
Towards a classification of Lindenmayer systems—0
Weakly-Supervised Localization and Classification of Proximal Femur Fractures—0
Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification—0
Unsupervised Adversarial Invariance—0
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised LearningCode0
A Novel Online Stacked Ensemble for Multi-Label Stream ClassificationCode0
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised LearningCode0
Coordinating and Integrating Faceted Classification with Rich Semantic Modeling—0
Covfefe: A Computer Vision Approach For Estimating Force Exertion—0
Deep Neural Networks for Pattern Recognition—0
Combined convolutional and recurrent neural networks for hierarchical classification of images—0
Chinese User Service Intention Classification Based on Hybrid Neural Network—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified