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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 581–590 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Challenging Euclidean Topological Autoencoders	Oct 10, 2020	Dimensionality Reduction	CodeCode Available	0	5
Asymptotics for Sketching in Least Squares Regression	Oct 14, 2018	Dimensionality Reductionregression	CodeCode Available	0	5
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	0	5
Capturing patterns of variation unique to a specific dataset	Apr 16, 2021	Dimensionality Reduction	CodeCode Available	0	5
Manifold Fitting under Unbounded Noise	Sep 23, 2019	Dimensionality Reduction	CodeCode Available	0	5
A Big Data Architecture for Early Identification and Categorization of Dark Web Sites	Jan 24, 2024	Dimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Distributed Lyapunov Functions for Nonlinear Networks	Jun 25, 2025	Dimensionality ReductionLEMMA	CodeCode Available	0	5
Class-constrained t-SNE: Combining Data Features and Class Probabilities	Aug 26, 2023	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach	Oct 15, 2018	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