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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 3121–3130 of 3304 papers

Title	Date	Tasks	Status	Hype
From Principal Subspaces to Principal Components with Linear Autoencoders	Apr 26, 2018	Dimensionality Reduction	CodeCode Available	0
Visualizing the PHATE of Neural Networks	Aug 7, 2019	Continual LearningDimensionality Reduction	CodeCode Available	0
From Small to Large Language Models: Revisiting the Federalist Papers	Feb 25, 2025	Authorship AttributionDimensionality Reduction	CodeCode Available	0
Caffe: Convolutional Architecture for Fast Feature Embedding	Jun 20, 2014	ClusteringDimensionality Reduction	CodeCode Available	0
Recommending research articles to consumers of online vaccination information	Apr 26, 2019	ArticlesDimensionality Reduction	CodeCode Available	0
Sketching out the Details: Sketch-based Image Retrieval using Convolutional Neural Networks with Multi-stage Regression	Dec 1, 2017	Data AugmentationDimensionality Reduction	CodeCode Available	0
Fully Convolutional Variational Autoencoder For Feature Extraction Of Fire Detection System	Mar 1, 2020	Deep LearningDimensionality Reduction	CodeCode Available	0
ALPCAHUS: Subspace Clustering for Heteroscedastic Data	May 25, 2025	ClusteringDimensionality Reduction	CodeCode Available	0
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics	Sep 20, 2021	Age ClassificationData Augmentation	CodeCode Available	0
Functional Diffusion Maps	Apr 27, 2023	Dimensionality Reduction	CodeCode Available	0

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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