SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9476–9500 of 14581 papers

TitleStatusHype
Unsupervised Classification of Voiced Speech and Pitch Tracking Using Forward-Backward Kalman Filtering—0
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification—0
Unsupervised Deep Features for Privacy Image Classification—0
Unsupervised Deep Feature Transfer for Low Resolution Image Classification—0
Unsupervised Deep Haar Scattering on Graphs—0
Unsupervised Deep Structure Learning by Recursive Dependency Analysis—0
Unsupervised Deep Transfer Feature Learning for Medical Image Classification—0
Unsupervised Detection of Downward-Entailing Operators By Maximizing Classification Certainty—0
Unsupervised Document Classification with Informed Topic Models—0
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching—0
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning—0
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization—0
Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets—0
Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition—0
Unsupervised Domain Adaptation with Similarity Learning—0
Unsupervised Domain Adaptation With Imbalanced Cross-Domain Data—0
Unsupervised Ensemble Classification with Sequential and Networked Data—0
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network—0
Unsupervised Feature Learning for Classification of Outdoor 3D Scans—0
Unsupervised feature learning for audio classification using convolutional deep belief networks—0
Unsupervised Feature Learning for low-level Local Image Descriptors—0
Unsupervised Feature Learning for Writer Identification and Writer Retrieval—0
Unsupervised Feature Learning from Temporal Data—0
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation—0
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification—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