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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 491–500 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Effective Dimensionality Reduction for Word Embeddings	Aug 1, 2019	Dimensionality ReductionWord Embeddings	CodeCode Available	0	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Bayesian latent structure discovery from multi-neuron recordings	Oct 26, 2016	Bayesian InferenceClustering	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
Bayesian Non-stationary Linear Bandits for Large-Scale Recommender Systems	Feb 7, 2022	Decision MakingDimensionality Reduction	CodeCode Available	0	5
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition	Sep 2, 2023	AnatomyBinary Classification	CodeCode Available	0	5
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia	Jul 24, 2024	Dimensionality ReductionPrognosis	CodeCode Available	0	5
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features	Jun 14, 2023	Dimensionality Reduction	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

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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