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 101–110 of 3304 papers

TitleStatusHype
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
FDApy: a Python package for functional dataCode1
catch22: CAnonical Time-series CHaracteristicsCode1
A Primer on the Signature Method in Machine LearningCode1
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
Flows for simultaneous manifold learning and density estimationCode1
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
GCN-DevLSTM: Path Development for Skeleton-Based Action RecognitionCode1
The Signature Kernel is the solution of a Goursat PDECode1
BayesOpt Adversarial AttackCode1
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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