SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 421430 of 3304 papers

TitleStatusHype
DiffRed: Dimensionality Reduction guided by stable rankCode0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot LayoutsCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Gradient-based Sparse Principal Component Analysis with Extensions to Online LearningCode0
Anticancer Peptides Classification using Kernel Sparse Representation ClassifierCode0
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial PoolerCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
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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