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 1351–1360 of 3304 papers

TitleStatusHype
Contextual Bandits with Sparse Data in Web setting—0
From which world is your graph?—0
Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding—0
Application of advanced machine learning algorithms for anomaly detection and quantitative prediction in protein A chromatography—0
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA—0
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping—0
Construction of neural networks for realization of localized deep learning—0
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning—0
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses—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