SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2491–2500 of 3304 papers

TitleStatusHype
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems—0
Accelerating hyperbolic t-SNE—0
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)—0
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Accelerating Vision Transformers Based on Heterogeneous Attention Patterns—0
Accuracy and Privacy Evaluations of Collaborative Data Analysis—0
A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations—0
Achieving Fair PCA Using Joint Eigenvalue Decomposition—0
A Class-Based Agreement Model for Generating Accurately Inflected Translations—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