SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 111120 of 3304 papers

TitleStatusHype
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximationCode1
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor FactorizationCode1
The chemical space of terpenes: insights from data science and AICode1
TLDR: Twin Learning for Dimensionality ReductionCode1
Nonnegative spatial factorizationCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)Code1
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)Code1
Clustering with UMAP: Why and How Connectivity MattersCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
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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