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 2691–2700 of 3304 papers

TitleStatusHype
VAMPnets: Deep learning of molecular kineticsCode0
Information-Theoretic Representation Learning for Positive-Unlabeled Classification—0
Regression-aware decompositions—0
Dimensionality Reduction Ensembles—0
Mechanisms of dimensionality reduction and decorrelation in deep neural networks—0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning—0
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping—0
Sparse Exact PGA on Riemannian Manifolds—0
Influ\^encia de T\'ecnicas N\~ao-supervisionadas de Redu \~ao de Dimensionalidade para Organiza \~ao Flex\' de Documentos (The Unsupervised Dimensionality Reduction Weight on Flexible Document Organization)[In Portuguese]—0
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case—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