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 2261–2270 of 3304 papers

TitleStatusHype
Autonomous skill discovery with Quality-Diversity and Unsupervised DescriptorsCode0
Attention-based Supply-Demand Prediction for Autonomous Vehicles—0
Style Transfer with Time Series: Generating Synthetic Financial Data—0
Visualization of AE's Training on Credit Card Transactions with Persistent Homology—0
Deep-gKnock: nonlinear group-feature selection with deep neural network—0
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information—0
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects—0
One-bit LFMCW Radar: Spectrum Analysis and Target Detection—0
Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics—0
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisCode0
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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