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 681–690 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Introduction to Facial Micro Expressions Analysis Using Color and Depth Images: A Matlab Coding Approach (Second Edition, 2023)	Jun 19, 2023	Dimensionality Reduction	CodeCode Available	0	5
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters	Oct 22, 2014	Decision MakingDimensionality Reduction	CodeCode Available	0	5
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack	Aug 30, 2024	Dimensionality ReductionReconstruction Attack	CodeCode Available	0	5
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval	Jul 14, 2017	Dimensionality ReductionImage Retrieval	CodeCode Available	0	5
A comparison of correspondence analysis with PMI-based word embedding methods	May 31, 2024	Dimensionality Reduction	CodeCode Available	0	5
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis	Dec 7, 2023	Dimensionality Reduction	CodeCode Available	0	5
Contrastive Multiple Correspondence Analysis (cMCA): Using Contrastive Learning to Identify Latent Subgroups in Political Parties	Jul 9, 2020	Contrastive LearningDimensionality Reduction	CodeCode Available	0	5
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality Reduction	CodeCode Available	0	5
Adversarial Robustness of VAEs across Intersectional Subgroups	Jul 4, 2024	Adversarial RobustnessDimensionality Reduction	CodeCode Available	0	5

Show:10 25 50

← PrevPage 69 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