SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 671680 of 3304 papers

TitleStatusHype
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving ValidationCode0
Dimension Reduction with Prior Information for Knowledge DiscoveryCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Integrative Factorization of Bidimensionally Linked MatricesCode0
A Perturbation-Based Kernel Approximation FrameworkCode0
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance AnalysisCode0
Constraint matrix factorization for space variant PSFs field restorationCode0
Interpretable dimensionality reduction using weighted linear transformationCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationCode0
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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