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 3001–3025 of 3304 papers

Title	Date	Tasks	Status
Face Pyramid Vision Transformer	Oct 21, 2022	Dimensionality ReductionFace Recognition	CodeCode Available
Quiver Laplacians and Feature Selection	Apr 10, 2024	Dimensionality Reductionfeature selection	CodeCode Available
The spiked matrix model with generative priors	May 29, 2019	Dimensionality Reductionmodel	CodeCode Available
Unsupervised dynamic modeling of medical image transformation	Mar 1, 2021	DenoisingDimensionality Reduction	CodeCode Available
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization	May 7, 2025	Dimensionality Reduction	CodeCode Available
Latent regularization for feature selection using kernel methods in tumor classification	Apr 10, 2020	ClassificationDimensionality Reduction	CodeCode Available
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression	Jul 11, 2022	Dimensionality Reductionregression	CodeCode Available
Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes	Oct 5, 2020	Dimensionality ReductionRepresentation Learning	CodeCode Available
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball	Jan 5, 2014	Dimensionality Reduction	CodeCode Available
Visualizing the Effects of a Changing Distance on Data Using Continuous Embeddings	Nov 8, 2013	ClusteringDimensionality Reduction	CodeCode Available
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow	Feb 27, 2018	Dimensionality Reduction	CodeCode Available
A Bi-level Nonlinear Eigenvector Algorithm for Wasserstein Discriminant Analysis	Nov 21, 2022	Dimensionality Reduction	CodeCode Available
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift	Oct 29, 2018	Dimensionality ReductionTwo-sample testing	CodeCode Available
Challenging Euclidean Topological Autoencoders	Oct 10, 2020	Dimensionality Reduction	CodeCode Available
Multi-Criteria Dimensionality Reduction with Applications to Fairness	Feb 28, 2019	Dimensionality ReductionFairness	CodeCode Available
Subspace Clustering through Sub-Clusters	Nov 15, 2018	ClusteringDimensionality Reduction	CodeCode Available
Lazy stochastic principal component analysis	Sep 21, 2017	Dimensionality Reduction	CodeCode Available
Challenges of Multi-Modal Coreset Selection for Depth Prediction	Feb 20, 2025	Depth EstimationDepth Prediction	CodeCode Available
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection	Oct 22, 2019	Dimensionality ReductionDiversity	CodeCode Available
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification	Jan 30, 2025	Dimensionality ReductionHandwriting Recognition	CodeCode Available
ShaRP: Shape-Regularized Multidimensional Projections	Jun 1, 2023	Dimensionality Reduction	CodeCode Available
Automatic Differentiation in PyTorch	Oct 28, 2017	ClusteringCPU	CodeCode Available
Image Reconstruction via Deep Image Prior Subspaces	Feb 20, 2023	Dimensionality ReductionImage Reconstruction	CodeCode Available
Chainer: a Next-Generation Open Source Framework for Deep Learning	Jan 1, 2015	ClusteringDeep Learning	CodeCode Available
Deep Feature Selection using a Teacher-Student Network	Mar 17, 2019	ClusteringDimensionality Reduction	CodeCode Available

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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