SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 31–40 of 3304 papers

TitleStatusHype
A DNA Methylation Classification Model Predicts Organ and Disease Site—0
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures—0
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement LearningCode0
Localizing Persona Representations in LLMs—0
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs—0
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis—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
Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows—0
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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