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 701–710 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Learning Fair Representations for Kernel Models	Jun 27, 2019	Dimensionality ReductionFairness	CodeCode Available	0	5
Learning Feature Sparse Principal Subspace	Dec 1, 2020	Dimensionality Reductionfeature selection	CodeCode Available	0	5
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking	Jan 17, 2023	2D Object DetectionAutonomous Driving	CodeCode Available	0	5
Adversarial Robustness of VAEs across Intersectional Subgroups	Jul 4, 2024	Adversarial RobustnessDimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis	Jun 19, 2024	Combinatorial OptimizationDiagnostic	CodeCode Available	0	5
Deep Temporal Clustering: Fully unsupervised learning of time-domain features	Jan 1, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery	Oct 19, 2019	ClusteringDimensionality Reduction	CodeCode Available	0	5
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clustering	May 6, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5

Show:10 25 50

← PrevPage 71 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