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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 11–20 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats	Dec 29, 2022	3D Human Pose EstimationDimensionality Reduction	CodeCode Available	2	5
Geomstats: A Python Package for Riemannian Geometry in Machine Learning	Apr 7, 2020	BIG-bench Machine LearningClustering	CodeCode Available	2	5
A Survey on Generative Diffusion Model	Sep 6, 2022	Dimensionality Reductionmodel	CodeCode Available	2	5
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers	Mar 19, 2024	Dimensionality ReductionSubgroup Discovery	CodeCode Available	2	5
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	Oct 8, 2019	Dimensionality Reductionimage-classification	CodeCode Available	2	5
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	5
Efficient Multi-Scale Attention Module with Cross-Spatial Learning	May 23, 2023	Dimensionality Reductionimage-classification	CodeCode Available	2	5
Modular Boundaries in Recurrent Neural Networks	Oct 31, 2023	Community DetectionDimensionality Reduction	CodeCode Available	2	5
Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing	Apr 8, 2025	DeepFake DetectionDimensionality Reduction	CodeCode Available	2	5
A Spectral Method for Assessing and Combining Multiple Data Visualizations	Oct 25, 2022	Data VisualizationDimensionality Reduction	CodeCode Available	1	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