SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1161–1170 of 3304 papers

TitleStatusHype
Adaptive Randomized Dimension Reduction on Massive Data—0
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients—0
Generalizing Correspondence Analysis for Applications in Machine Learning—0
A study of semantic augmentation of word embeddings for extractive summarization—0
Deep neural networks for the evaluation and design of photonic devices—0
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows—0
A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction—0
Deep Monocular Visual Odometry for Ground Vehicle—0
Deep matrix factorizations—0
AstroM^3: A self-supervised multimodal model for astronomy—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