SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 23412350 of 3304 papers

TitleStatusHype
Multi-Criteria Dimensionality Reduction with Applications to FairnessCode0
Efficient Contextual Representation Learning Without Softmax Layer0
High-dimensional Bayesian optimization using low-dimensional feature spacesCode0
Ordinal Distance Metric Learning with MDS for Image Ranking0
A Review, Framework and R toolkit for Exploring, Evaluating, and Comparing Visualizations0
Deep Learning Multidimensional Projections0
Noisy multi-label semi-supervised dimensionality reduction0
Exploring Language Similarities with Dimensionality Reduction TechniqueCode0
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank0
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures0
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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