SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 24612470 of 3304 papers

TitleStatusHype
Modeling Dynamics of Biological Systems with Deep Generative Neural Networks0
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised LearningCode0
Graph filtering for data reduction and reconstruction0
A convex formulation for high-dimensional sparse sliced inverse regression0
ManifoldNet: A Deep Network Framework for Manifold-valued DataCode1
Visualization of High-dimensional Scalar Functions Using Principal ParameterizationsCode0
Distance preserving model order reduction of graph-Laplacians and cluster analysis0
Randomized Iterative Algorithms for Fisher Discriminant Analysis0
Mixtures of Skewed Matrix Variate Bilinear Factor AnalyzersCode0
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data0
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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