SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 276300 of 3304 papers

TitleStatusHype
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
A Mixture of Matrix Variate Bilinear Factor AnalyzersCode0
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
A method to integrate and classify normal distributionsCode0
A DEEP ADVERSARIAL LEARNING METHODOLOGY FOR DESIGNING MICROSTRUCTURAL MATERIAL SYSTEMSCode0
Dimension Reduction for Data with Heterogeneous MissingnessCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
Dimension Reduction and MARSCode0
Reducing the dimensionality of data using tempered distributionsCode0
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial PoolerCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
ALPCAHUS: Subspace Clustering for Heteroscedastic DataCode0
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic DataCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value RegularizationCode0
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature RepresentationCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
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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