SOTAVerified

Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

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Showing 1411–1420 of 3304 papers

TitleStatusHype
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance—0
Incremental Ensemble Gaussian Processes—0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network—0
Nonnegative spatial factorizationCode1
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction—0
Domain Generalization via Domain-based Covariance Minimization—0
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid—0
Cognitive Coding of Speech—0
Advancing the dimensionality reduction of speaker embeddings for speaker diarisation: disentangling noise and informing speech activity—0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified