SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 1791–1800 of 3304 papers

TitleStatusHype
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
Fair Kernel Learning—0
Fair Principal Component Analysis and Filter Design—0
Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization—0
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals—0
Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning—0
Fast and Large-scale Unsupervised Relation Extraction—0
Fast clustering for scalable statistical analysis on structured images—0
Fast Data-driven Greedy Sensor Selection for Ridge Regression—0
Fast Data-independent KLT Approximations Based on Integer Functions—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