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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 3304 papers

Title	Date	Tasks	Status	Hype
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
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction	Sep 19, 2019	Dimensionality Reduction	CodeCode Available	1
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation	May 14, 2020	Dimensionality ReductionImage Retrieval	CodeCode Available	1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm	Oct 19, 2020	Decision MakingDimensionality Reduction	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