SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 341350 of 3304 papers

TitleStatusHype
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Active Learning for Manifold Gaussian Process RegressionCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Designing Illuminant Spectral Power Distributions for Surface 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