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 1671–1680 of 3304 papers

TitleStatusHype
OmiEmbed: a unified multi-task deep learning framework for multi-omics dataCode1
Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing—0
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring—0
[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
Reduced operator inference for nonlinear partial differential equationsCode1
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
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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