SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 301310 of 3304 papers

TitleStatusHype
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
A Linearly Convergent Algorithm for Distributed Principal Component AnalysisCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler DivergenceCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
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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