SOTAVerified

Dimensionality Reduction

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

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Papers

Showing 691700 of 3304 papers

TitleStatusHype
Control of ecological outcomes through deliberate parameter changes in a model of the gut microbiomeCode0
Language Model Training Paradigms for Clinical Feature EmbeddingsCode0
A comparison of correspondence analysis with PMI-based word embedding methodsCode0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid FlowCode0
Dimension Reduction and MARSCode0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt PerspectiveCode0
Adversarial Robustness of VAEs across Intersectional SubgroupsCode0
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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