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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 161–170 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms	Aug 28, 2022	Dimensionality ReductionQuantum Machine Learning	CodeCode Available	1	5
A Primer on the Signature Method in Machine Learning	Mar 11, 2016	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1	5
A Spectral Method for Assessing and Combining Multiple Data Visualizations	Oct 25, 2022	Data VisualizationDimensionality Reduction	CodeCode Available	1	5
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling	Jun 18, 2020	Dimensionality ReductionPosition	CodeCode Available	1	5
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation	Oct 2, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1	5
GiDR-DUN; Gradient Dimensionality Reduction -- Differences and Unification	Jun 20, 2022	Dimensionality Reduction	CodeCode Available	1	5
Curvature-based Feature Selection with Application in Classifying Electronic Health Records	Jan 10, 2021	Breast Cancer DetectionBreast Tissue Identification	CodeCode Available	1	5
HEFT: Homomorphically Encrypted Fusion of Biometric Templates	Aug 15, 2022	Dimensionality Reduction	CodeCode Available	1	5
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation	Mar 20, 2021	Dimensionality ReductionNavigate	CodeCode Available	1	5
Deep Learning of Individual Aesthetics	Sep 24, 2020	Deep LearningDimensionality Reduction	CodeCode Available	1	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