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Dimensionality Reduction

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 391–400 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
Face Pyramid Vision Transformer	Oct 21, 2022	Dimensionality ReductionFace Recognition	CodeCode Available	0	5
Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes	Oct 5, 2020	Dimensionality ReductionRepresentation Learning	CodeCode Available	0	5
Adaptive Mixtures of Factor Analyzers	Jul 10, 2015	ClusteringDimensionality Reduction	CodeCode Available	0	5
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures	Apr 8, 2022	Deep LearningDimensionality Reduction	CodeCode Available	0	5
Anticancer Peptides Classification using Kernel Sparse Representation Classifier	Dec 19, 2022	ClassificationDimensionality Reduction	CodeCode Available	0	5
Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction	Jun 5, 2025	Dimensionality ReductionExperimental Design	CodeCode Available	0	5
Assessing the similarity of real matrices with arbitrary shape	Mar 26, 2024	Dimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5

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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