SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1101–1110 of 3304 papers

TitleStatusHype
Efficient Sparse PCA via Block-Diagonalization—0
Efficient Tensor Contraction via Fast Count Sketch—0
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis—0
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs—0
EigenGS Representation: From Eigenspace to Gaussian Image Space—0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks—0
Elastic deep autoencoder for text embedding clustering by an improved graph regularization—0
Electrical Grid Anomaly Detection via Tensor Decomposition—0
Elementos da teoria de aprendizagem de máquina supervisionada—0
Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models—0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified