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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 561–570 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
CatBoost: unbiased boosting with categorical features	Jun 28, 2017	ClusteringDimensionality Reduction	CodeCode Available	0	5
DiffRed: Dimensionality Reduction guided by stable rank	Mar 9, 2024	Data SummarizationData Visualization	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
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective	Jun 13, 2025	Anomaly DetectionDimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering: Fully unsupervised learning of time-domain features	Jan 1, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0	5
Capturing patterns of variation unique to a specific dataset	Apr 16, 2021	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