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 801–825 of 3304 papers

Title	Date	Tasks	Status	Score
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting	Mar 27, 2023	Dimensionality ReductionState Estimation	CodeCode Available	5
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach	Oct 15, 2018	Dimensionality Reduction	CodeCode Available	5
Deep learning to discover and predict dynamics on an inertial manifold	Dec 20, 2019	Dimensionality ReductionTranslation	CodeCode Available	5
Deep Learning with Nonparametric Clustering	Jan 13, 2015	ClusteringDeep Learning	CodeCode Available	5
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality Reduction	CodeCode Available	5
A Statistical View of Column Subset Selection	Jul 24, 2023	Dimensionality Reduction	CodeCode Available	5
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings	Nov 10, 2023	Dimensionality Reduction	CodeCode Available	5
DiffRed: Dimensionality Reduction guided by stable rank	Mar 9, 2024	Data SummarizationData Visualization	CodeCode Available	5
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters	Oct 21, 2015	Dimensionality Reduction	CodeCode Available	5
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	5
A Linearly Convergent Algorithm for Distributed Principal Component Analysis	Jan 5, 2021	Dimensionality Reduction	CodeCode Available	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	5
Bidirectional deep-readout echo state networks	Nov 17, 2017	ClassificationDimensionality Reduction	CodeCode Available	5
Roweis Discriminant Analysis: A Generalized Subspace Learning Method	Oct 11, 2019	Dimensionality ReductionFace Recognition	CodeCode Available	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	5
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data	Mar 6, 2019	Dimensionality ReductionGaussian Processes	CodeCode Available	5
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters	Oct 22, 2014	Decision MakingDimensionality Reduction	CodeCode Available	5
Scalable Manifold Learning for Big Data with Apache Spark	Aug 31, 2018	Dimensionality Reduction	CodeCode Available	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	5
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective	Jun 13, 2025	Anomaly DetectionDimensionality Reduction	CodeCode Available	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	5
Deep Temporal Clustering: Fully unsupervised learning of time-domain features	Jan 1, 2018	ClusteringDimensionality Reduction	CodeCode Available	5
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation	Jun 7, 2022	Dimensionality Reduction	CodeCode Available	5
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery	Apr 11, 2023	Causal DiscoveryDimensionality Reduction	CodeCode Available	5
Principal component analysis balancing prediction and approximation accuracy for spatial data	Aug 3, 2024	Dimensionality Reduction	CodeCode Available	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