SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3651–3675 of 14581 papers

TitleStatusHype
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks—0
HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture—0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—0
Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification—0
Federated Visual Classification with Real-World Data DistributionCode0
A Dynamic Reduction Network for Point CloudsCode0
Unsupervised Hierarchical Graph Representation Learning by Mutual Information MaximizationCode0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
Adapting Deep Learning Methods for Mental Health Prediction on Social Media—0
Spectrum Sensing and Signal Identification with Deep Learning based on Spectral Correlation Function—0
Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines—0
Teacher-Student chain for efficient semi-supervised histology image classification—0
A comprehensive study on the prediction reliability of graph neural networks for virtual screening—0
BrazilDAM: A Benchmark dataset for Tailings Dam DetectionCode0
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis—0
Author2Vec: A Framework for Generating User Embedding—0
Key Phrase Classification in Complex Assignments—0
A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification—0
Radiomic feature selection for lung cancer classifiers—0
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating—0
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining—0
Channel Pruning Guided by Classification Loss and Feature Importance—0
Causality-based Explanation of Classification Outcomes—0
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets—0
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise—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