SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 271280 of 3304 papers

TitleStatusHype
Distributionally Robust Optimization with Markovian DataCode0
Efficient Solution of Portfolio Optimization Problems via Dimension Reduction and SparsificationCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
A Mixture of Matrix Variate Bilinear Factor AnalyzersCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
A method to integrate and classify normal distributionsCode0
A DEEP ADVERSARIAL LEARNING METHODOLOGY FOR DESIGNING MICROSTRUCTURAL MATERIAL SYSTEMSCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
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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