SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 801810 of 3304 papers

TitleStatusHype
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images0
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality ReductionCode0
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction EmbeddingsCode1
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels0
SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text0
A Statistical View of Column Subset SelectionCode0
Heuristic Hyperparameter Choice for Image Anomaly Detection0
On Optimality in ROVir0
Improving Surrogate Model Robustness to Perturbations for Dynamical Systems Through Machine Learning and Data Assimilation0
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee AggregationCode0
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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