SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 611620 of 3304 papers

TitleStatusHype
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Capacity Preserving Mapping for High-dimensional Data VisualizationCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Derivative-enhanced Deep Operator NetworkCode0
An evaluation framework for dimensionality reduction through sectional curvatureCode0
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language ModelsCode0
CNTK: Microsoft's Open-Source Deep-Learning ToolkitCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
Face Pyramid Vision TransformerCode0
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