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 1751–1760 of 3304 papers

TitleStatusHype
[Re] Explaining Groups of Points in Low-Dimensional RepresentationsCode0
Exploring the Geometry and Topology of Neural Network Loss Landscapes—0
Spike and slab Bayesian sparse principal component analysis—0
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis—0
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition—0
Accuracy and Privacy Evaluations of Collaborative Data Analysis—0
Probability distributions for analog-to-target distances—0
Contrastive analysis for scatterplot-based representations of dimensionality reduction—0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Novel Recording Studio Features for Music Information Retrieval—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