SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 961–970 of 3304 papers

TitleStatusHype
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning ModelsCode0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
PAC-Bayesian Generalization Bounds for Adversarial Generative ModelsCode0
Linearized Wasserstein dimensionality reduction with approximation guarantees—0
Kernelized Diffusion mapsCode1
Mixed Multi-Model Semantic Interaction for Graph-based Narrative Visualizations—0
Sparse Dimensionality Reduction Revisited—0
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction—0
Dimension Reduction and MARSCode0
Dimension reduction and redundancy removal through successive Schmidt decompositions—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