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 826–850 of 3304 papers

Title	Date	Tasks	Status	Score
Similarity encoding for learning with dirty categorical variables	Jun 4, 2018	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
Simple and Effective Dimensionality Reduction for Word Embeddings	Aug 11, 2017	Dimensionality ReductionInformation Retrieval	CodeCode Available	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	5
Principal component analysis balancing prediction and approximation accuracy for spatial data	Aug 3, 2024	Dimensionality Reduction	CodeCode Available	5
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering	Feb 23, 2023	ClassificationDimensionality Reduction	CodeCode Available	5
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps	Dec 15, 2023	Dimensionality Reduction	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
ALPCAHUS: Subspace Clustering for Heteroscedastic Data	May 25, 2025	ClusteringDimensionality Reduction	CodeCode Available	5
Solving Interpretable Kernel Dimension Reduction	Sep 6, 2019	ClusteringDimensionality Reduction	CodeCode Available	5
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting	Mar 27, 2023	Dimensionality ReductionState Estimation	CodeCode Available	5
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges	Feb 18, 2025	Dimensionality ReductionEEG	CodeCode Available	5
A Survey on Multi-Task Learning	Jul 25, 2017	Active LearningClustering	CodeCode Available	5
Sparse and Functional Principal Components Analysis	Sep 11, 2013	Dimensionality ReductionEEG	CodeCode Available	5
Earthmover-based manifold learning for analyzing molecular conformation spaces	Oct 16, 2019	Dimensionality Reduction	CodeCode Available	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	5
Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases	May 19, 2022	Dimensionality Reduction	CodeCode Available	5
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions	Feb 8, 2023	Depth EstimationDepth Prediction	CodeCode Available	5
Interactive Latent Interpolation on MNIST Dataset	Oct 15, 2020	Dimensionality Reduction	CodeCode Available	5
Principal Orthogonal Latent Components Analysis (POLCA Net)	Oct 9, 2024	Dimensionality ReductionFeature Correlation	CodeCode Available	5
Spherical Rotation Dimension Reduction with Geometric Loss Functions	Apr 23, 2022	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
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction	Aug 17, 2023	Click-Through Rate PredictionDimensionality Reduction	—Unverified	0

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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