SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 261–270 of 3304 papers

TitleStatusHype
Riemannian Principal Component Analysis—0
A DNA Methylation Classification Model Predicts Organ and Disease Site—0
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis—0
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs—0
ALPCAHUS: Subspace Clustering for Heteroscedastic DataCode0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Exponential Convergence of CAVI for Bayesian PCA—0
NOMAD Projection—0
Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows—0
InstanceBEV: Unifying Instance and BEV Representation for Global Modeling—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