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 411–420 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
A Graphical Model for Fusing Diverse Microbiome Data	Aug 21, 2022	Dimensionality Reduction	CodeCode Available	0	5
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings	Nov 10, 2023	Dimensionality Reduction	CodeCode Available	0	5
ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value Regularization	Jul 6, 2023	Dimensionality Reduction	CodeCode Available	0	5
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction	Dec 12, 2019	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach	Oct 15, 2018	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms	May 3, 2024	Dimensionality Reduction	CodeCode Available	0	5
ALPCAHUS: Subspace Clustering for Heteroscedastic Data	May 25, 2025	ClusteringDimensionality Reduction	CodeCode Available	0	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0	5
A Survey on Multi-Task Learning	Jul 25, 2017	Active LearningClustering	CodeCode Available	0	5
Anticancer Peptides Classification using Kernel Sparse Representation Classifier	Dec 19, 2022	ClassificationDimensionality Reduction	CodeCode Available	0	5

Show:10 25 50

← PrevPage 42 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