SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2861–2870 of 3304 papers

TitleStatusHype
BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification—0
Book Review: Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev—0
Borel Isomorphic Dimensionality Reduction of Data and Supervised Learning—0
Bounded Manifold Completion—0
Bounds on Causal Effects and Application to High Dimensional Data—0
Brain Inspired Face Recognition: A Computational Framework—0
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Bridging Dense and Sparse Maximum Inner Product Search—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—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