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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 1–10 of 3304 papers

Title	Date	Tasks	Status	Hype
Revisiting PCA for time series reduction in temporal dimension	Dec 27, 2024	Computational EfficiencyDimensionality Reduction	CodeCode Available	7
Dimension Reduction with Locally Adjusted Graphs	Dec 19, 2024	Dimensionality Reduction	CodeCode Available	4
XGBoost: A Scalable Tree Boosting System	Mar 9, 2016	BIG-bench Machine LearningClustering	CodeCode Available	4
Parametric UMAP embeddings for representation and semi-supervised learning	Sep 27, 2020	Dimensionality Reduction	CodeCode Available	3
ivis Dimensionality Reduction Framework for Biomacromolecular Simulations	Apr 22, 2020	Dimensionality Reduction	CodeCode Available	3
Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing	Apr 8, 2025	DeepFake DetectionDimensionality Reduction	CodeCode Available	2
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers	Mar 19, 2024	Dimensionality ReductionSubgroup Discovery	CodeCode Available	2
LeanVec: Searching vectors faster by making them fit	Dec 26, 2023	Cross-Modal RetrievalDimensionality Reduction	CodeCode Available	2
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft	Nov 10, 2023	Bayesian OptimizationCantilever Beam	CodeCode Available	2
Modular Boundaries in Recurrent Neural Networks	Oct 31, 2023	Community DetectionDimensionality Reduction	CodeCode Available	2

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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