SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1841–1850 of 3304 papers

TitleStatusHype
An efficient label-free analyte detection algorithm for time-resolved spectroscopy—0
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks—0
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
Binary Matrix Factorisation via Column Generation—0
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks—0
Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women—0
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient DescentCode0
Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process—0
Wheat Crop Yield Prediction Using Deep LSTM Model—0
Fuzzy Pooling—0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified