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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 781–790 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Deep generative LDA	Oct 30, 2020	Dimensionality ReductionSpeaker Recognition	CodeCode Available	0	5
Practical Hash Functions for Similarity Estimation and Dimensionality Reduction	Nov 23, 2017	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting	Mar 27, 2023	Dimensionality ReductionState Estimation	CodeCode Available	0	5
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems	May 13, 2024	Anomaly DetectionDimensionality Reduction	CodeCode Available	0	5
Deep Kernel Principal Component Analysis for Multi-level Feature Learning	Feb 22, 2023	Dimensionality Reduction	CodeCode Available	0	5
Principal Components for Neural Network Initialization	Jan 31, 2025	DenoisingDimensionality Reduction	CodeCode Available	0	5
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms	May 3, 2024	Dimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Bi-Sparse Unsupervised Feature Selection	Dec 22, 2024	Dimensionality Reductionfeature selection	CodeCode Available	0	5
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning	May 30, 2025	Dimensionality Reductionfeature selection	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