SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 32613270 of 3304 papers

TitleStatusHype
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and InterpretationCode0
PAC-Bayesian Generalization Bounds for Adversarial Generative ModelsCode0
Control of ecological outcomes through deliberate parameter changes in a model of the gut microbiomeCode0
M-ar-K-Fast Independent Component AnalysisCode0
PAGE: Parametric Generative Explainer for Graph Neural NetworkCode0
Augmentation Component Analysis: Modeling Similarity via the Augmentation OverlapsCode0
BinGAN: Learning Compact Binary Descriptors with a Regularized GANCode0
Uncertainty-Aware Principal Component AnalysisCode0
A Survey on Multi-Task LearningCode0
Weighted Sparse Partial Least Squares for Joint Sample and Feature SelectionCode0
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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