SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 18011810 of 3304 papers

TitleStatusHype
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
Auto-Encoding Variational Bayes for Inferring Topics and VisualizationCode0
Prediction of daily maximum ozone levels using Lasso sparse modeling method0
Understanding Information Processing in Human Brain by Interpreting Machine Learning ModelsCode1
Interactive Latent Interpolation on MNIST DatasetCode0
Mycorrhiza: Genotype Assignment usingPhylogenetic NetworksCode0
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank EstimationCode0
Causal learning with sufficient statistics: an information bottleneck approach0
0-dimensional Homology Preserving Dimensionality Reduction with TopoMap0
Circular Coordinate Methods with Generalized Penalty Functions0
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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