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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 1121–1130 of 3304 papers

Title	Date	Tasks	Status	Hype
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation	Mar 14, 2023	Dimensionality ReductionSelf-Supervised Learning	—Unverified	0
A primer on correlation-based dimension reduction methods for multi-omics analysis	Mar 13, 2023	Dimensionality ReductionExperimental Design	CodeCode Available	0
Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents	Mar 13, 2023	Dimensionality Reduction	—Unverified	0
Entropic Wasserstein Component Analysis	Mar 9, 2023	Dimensionality Reduction	CodeCode Available	0
Differential Privacy Meets Neural Network Pruning	Mar 8, 2023	Dimensionality ReductionNetwork Pruning	—Unverified	0
Sufficient dimension reduction for feature matrices	Mar 7, 2023	Dimensionality Reduction	—Unverified	0
A topological classifier to characterize brain states: When shape matters more than variance	Mar 7, 2023	Decision MakingDimensionality Reduction	—Unverified	0
Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction	Mar 7, 2023	Dimensionality ReductionSemantic Segmentation	—Unverified	0
Super-Resolution Neural Operator	Mar 5, 2023	Dimensionality ReductionOperator learning	CodeCode Available	0
CAMEL: Curvature-Augmented Manifold Embedding and Learning	Mar 5, 2023	Computational EfficiencyDimensionality Reduction	—Unverified	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