SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 661670 of 3304 papers

TitleStatusHype
Bubblewrap: Online tiling and real-time flow prediction on neural manifoldsCode0
Computer vision-based framework for extracting geological lineaments from optical remote sensing dataCode0
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies ReconstructionCode0
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level GenerationCode0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
Deep Temporal Clustering: Fully unsupervised learning of time-domain featuresCode0
Deep Random Splines for Point Process Intensity Estimation of Neural Population DataCode0
A comparison of correspondence analysis with PMI-based word embedding methodsCode0
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt PerspectiveCode0
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