SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 471480 of 3304 papers

TitleStatusHype
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt PerspectiveCode0
LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying densityCode0
Learning Embeddings into Entropic Wasserstein SpacesCode0
Language Model Training Paradigms for Clinical Feature EmbeddingsCode0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
Latent Manifold Reconstruction and Representation with Topological and Geometrical RegularizationCode0
Latent regularization for feature selection using kernel methods in tumor classificationCode0
Face Pyramid Vision TransformerCode0
Deep Learning of Conjugate MappingsCode0
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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