SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 441450 of 3304 papers

TitleStatusHype
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Derivative-enhanced Deep Operator NetworkCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Deep Temporal Clustering: Fully unsupervised learning of time-domain featuresCode0
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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