SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 331340 of 3304 papers

TitleStatusHype
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
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