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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 81–90 of 3304 papers

Title	Date	Tasks	Status	Hype
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets	May 11, 2023	Data VisualizationDimensionality Reduction	CodeCode Available	1
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation	Oct 2, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1
Curvature-based Feature Selection with Application in Classifying Electronic Health Records	Jan 10, 2021	Breast Cancer DetectionBreast Tissue Identification	CodeCode Available	1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation	Mar 20, 2021	Dimensionality ReductionNavigate	CodeCode Available	1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagation	Feb 27, 2019	Dimensionality ReductionUncertainty Quantification	CodeCode Available	1
Deep Learning for Functional Data Analysis with Adaptive Basis Layers	Jun 19, 2021	Deep LearningDimensionality Reduction	CodeCode Available	1
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations	Jul 9, 2021	Dimensionality Reduction	CodeCode Available	1
Deep Learning of Individual Aesthetics	Sep 24, 2020	Deep LearningDimensionality Reduction	CodeCode Available	1
An efficient aggregation method for the symbolic representation of temporal data	Jan 14, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1

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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