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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 771–780 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Are We Using Autoencoders in a Wrong Way?	Sep 4, 2023	Anomaly DetectionClassification	CodeCode Available	0	5
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	0	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0	5
A ripple in time: a discontinuity in American history	Dec 2, 2023	Authorship AttributionDimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Deep Feature Selection using a Teacher-Student Network	Mar 17, 2019	ClusteringDimensionality Reduction	CodeCode Available	0	5
Adversarial Canonical Correlation Analysis	May 20, 2020	ClusteringDimensionality Reduction	CodeCode Available	0	5
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification	Jan 30, 2025	Dimensionality ReductionHandwriting Recognition	CodeCode Available	0	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 7, 2023	Dimensionality ReductionImage Segmentation	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