SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 26912700 of 3304 papers

TitleStatusHype
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
"Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality ReductionCode0
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian ProcessesCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Robust PCA via Outlier PursuitCode0
Bidirectional deep-readout echo state networksCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material DesignCode0
Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction FrameworkCode0
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19Code0
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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