SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 30013010 of 3304 papers

TitleStatusHype
Face Pyramid Vision TransformerCode0
Quiver Laplacians and Feature SelectionCode0
The spiked matrix model with generative priorsCode0
Unsupervised dynamic modeling of medical image transformationCode0
Latent Manifold Reconstruction and Representation with Topological and Geometrical RegularizationCode0
Latent regularization for feature selection using kernel methods in tumor classificationCode0
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution RegressionCode0
Factorized Discriminant Analysis for Genetic Signatures of Neuronal PhenotypesCode0
Factorized Point Process Intensities: A Spatial Analysis of Professional BasketballCode0
Visualizing the Effects of a Changing Distance on Data Using Continuous EmbeddingsCode0
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Benchmark Results

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