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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 141–150 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
A hyperparameter-tuning approach to automated inverse planning	May 14, 2021	Bayesian OptimizationDimensionality Reduction	CodeCode Available	1	5
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning	Jun 21, 2022	Dimensionality ReductionExperimental Design	CodeCode Available	1	5
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets	May 11, 2023	Data VisualizationDimensionality Reduction	CodeCode Available	1	5
An Embedding is Worth a Thousand Noisy Labels	Aug 26, 2024	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available	1	5
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder	May 6, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1	5
A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery	Mar 7, 2023	ClusteringDimensionality Reduction	CodeCode Available	1	5
Discovering Distinctive "Semantics" in Super-Resolution Networks	Aug 1, 2021	Dimensionality ReductionImage Super-Resolution	CodeCode Available	1	5
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA	Jun 17, 2021	Dimensionality ReductionDisentanglement	CodeCode Available	1	5
Distributed Out-of-Memory NMF on CPU/GPU Architectures	Feb 19, 2022	CPUDimensionality Reduction	CodeCode Available	1	5
Clustering with UMAP: Why and How Connectivity Matters	Aug 12, 2021	ClusteringDimensionality 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