SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 791800 of 3304 papers

TitleStatusHype
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Bi-Sparse Unsupervised Feature SelectionCode0
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement LearningCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
BinGAN: Learning Compact Binary Descriptors with a Regularized GANCode0
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parametersCode0
Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reductionCode0
Quantum algorithms for SVD-based data representation and analysisCode0
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
Derivative-enhanced Deep Operator NetworkCode0
Show:102550
← PrevPage 80 of 331Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified