SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 28112820 of 3304 papers

TitleStatusHype
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projectionsCode0
A Mixture of Matrix Variate Bilinear Factor AnalyzersCode0
The Impact of Element Ordering on LM Agent PerformanceCode0
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block ModelsCode0
Premise selection with neural networks and distributed representation of featuresCode0
Scaling Gaussian Process Regression with DerivativesCode0
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial LibrariesCode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
XNB: Explainable Class-Specific NaIve-Bayes ClassifierCode0
Preventing Model Collapse in Gaussian Process Latent Variable ModelsCode0
Show:102550
← PrevPage 282 of 331Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified