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 1581–1590 of 3304 papers

TitleStatusHype
Identifying manifolds underlying group motion in Vicsek agents—0
Deep-learning based measurement of planetary radial velocities in the presence of stellar variability—0
Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor—0
Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models—0
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques—0
"I know it when I see it". Visualization and Intuitive Interpretability—0
Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer—0
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization—0
Efficient Binary Embedding of Categorical Data using BinSketch—0
Bayesian tomography using polynomial chaos expansion and deep generative networks—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