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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 651–660 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing	Aug 8, 2019	Dimensionality ReductionDiversity	CodeCode Available	0	5
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis	Jan 28, 2024	Dimensionality ReductionTime Series	CodeCode Available	0	5
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective	Jun 13, 2025	Anomaly DetectionDimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering: Fully unsupervised learning of time-domain features	Jan 1, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds	Aug 31, 2021	Dimensionality Reduction	CodeCode Available	0	5
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality Reduction	CodeCode Available	0	5
High-dimensional Bayesian optimization using low-dimensional feature spaces	Feb 27, 2019	Bayesian OptimizationDimensionality Reduction	CodeCode Available	0	5
High-Dimensional Feature Selection for Genomic Datasets	Feb 27, 2020	Dimensionality Reductionfeature selection	CodeCode Available	0	5
DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography	Mar 10, 2025	ClusteringDeep Clustering	CodeCode Available	0	5
Deep learning to discover and predict dynamics on an inertial manifold	Dec 20, 2019	Dimensionality ReductionTranslation	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