SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 31513160 of 3304 papers

TitleStatusHype
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive FilteringCode0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Adaptive Mixtures of Factor AnalyzersCode0
[Re] Explaining Groups of Points in Low-Dimensional RepresentationsCode0
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender SystemsCode0
Refusal Behavior in Large Language Models: A Nonlinear PerspectiveCode0
Curvature Augmented Manifold Embedding and LearningCode0
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clusteringCode0
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian OptimizationCode0
VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region AnnotationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified