SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 381390 of 3304 papers

TitleStatusHype
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
ARES: Locally Adaptive Reconstruction-based Anomaly ScoringCode0
A Perturbation-Based Kernel Approximation FrameworkCode0
Enhancing Sufficient Dimension Reduction via Hellinger CorrelationCode0
Are We Using Autoencoders in a Wrong Way?Code0
A ripple in time: a discontinuity in American historyCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
A Graphical Model for Fusing Diverse Microbiome DataCode0
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