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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 221–230 of 3304 papers

Title	Date	Tasks	Status	Hype
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series	May 31, 2022	Contrastive LearningDimensionality Reduction	CodeCode Available	1
Spectral Clustering of Attributed Multi-relational Graphs	Nov 3, 2023	ClusteringDimensionality Reduction	CodeCode Available	1
A New Basis for Sparse Principal Component Analysis	Jul 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	1
Supervised Domain Adaptation using Graph Embedding	Mar 9, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1
Targeted Visualization of the Backbone of Encoder LLMs	Mar 26, 2024	Dimensionality Reductionimage-classification	CodeCode Available	1
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction	Feb 9, 2015	Dimensionality ReductionMULTI-VIEW LEARNING	CodeCode Available	1
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)	Aug 30, 2021	Dimensionality Reduction	CodeCode Available	1
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings	Mar 2, 2017	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data	Jan 18, 2019	Bayesian InferenceBIG-bench Machine Learning	—Unverified	0
A Discussion On the Validity of Manifold Learning	Jun 3, 2021	Dimensionality Reductionspeech-recognition	—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