SOTAVerified|Agents Browse Leaderboard About

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 531–540 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes	Aug 8, 2020	Dimensionality ReductionGaussian Processes	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective	Jun 13, 2025	Anomaly DetectionDimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering: Fully unsupervised learning of time-domain features	Jan 1, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography	Mar 10, 2025	ClusteringDeep Clustering	CodeCode Available	0	5
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 5, 2024	Dimensionality ReductionImage Segmentation	CodeCode Available	0	5
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data	Mar 6, 2019	Dimensionality ReductionGaussian Processes	CodeCode Available	0	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5

Show:10 25 50

← PrevPage 54 of 331Next →

All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified