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 41–50 of 3304 papers

TitleStatusHype
On Path Integration of Grid Cells: Group Representation and Isotropic ScalingCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Autoencoding with a Classifier SystemCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
Bayesian Optimization of Sampling Densities in MRICode1
catch22: CAnonical Time-series CHaracteristicsCode1
CBMAP: Clustering-based manifold approximation and projection for dimensionality reductionCode1
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional DatasetsCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
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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