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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
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings	Mar 2, 2017	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
Predicting Pairwise Relations with Neural Similarity Encoders	Feb 6, 2017	Collaborative FilteringDimensionality Reduction	CodeCode Available	1
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering	Oct 15, 2016	ClusteringDeep Learning	CodeCode Available	1
Quantum Algorithms for Compositional Natural Language Processing	Aug 4, 2016	Dimensionality Reduction	CodeCode Available	1
A Primer on the Signature Method in Machine Learning	Mar 11, 2016	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
Adversarial Autoencoders	Nov 18, 2015	ClusteringData Visualization	CodeCode Available	1
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers	Jun 6, 2015	Dimensionality Reduction	CodeCode Available	1
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction	Feb 9, 2015	Dimensionality ReductionMULTI-VIEW LEARNING	CodeCode Available	1
Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning	Jul 14, 2025	Computational EfficiencyDimensionality Reduction	—Unverified	0
Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations	Jul 8, 2025	Contrastive LearningDimensionality 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