SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 571580 of 3304 papers

TitleStatusHype
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
CausNet : Generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraintsCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
A Bi-level Nonlinear Eigenvector Algorithm for Wasserstein Discriminant AnalysisCode0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
Chainer: a Next-Generation Open Source Framework for Deep LearningCode0
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
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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