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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 631–640 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Fisher and Kernel Fisher Discriminant Analysis: Tutorial	Jun 22, 2019	Dimensionality Reduction	CodeCode Available	0	5
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings	Nov 10, 2023	Dimensionality Reduction	CodeCode Available	0	5
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch	Sep 23, 2024	Dimensionality ReductionEdge-computing	CodeCode Available	0	5
Calibrating dimension reduction hyperparameters in the presence of noise	Dec 5, 2023	Dimensionality Reductionfeature selection	CodeCode Available	0	5
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero	Feb 14, 2018	Decision MakingDeep Reinforcement Learning	CodeCode Available	0	5
From Principal Subspaces to Principal Components with Linear Autoencoders	Apr 26, 2018	Dimensionality Reduction	CodeCode Available	0	5
From Small to Large Language Models: Revisiting the Federalist Papers	Feb 25, 2025	Authorship AttributionDimensionality Reduction	CodeCode Available	0	5
Caffe: Convolutional Architecture for Fast Feature Embedding	Jun 20, 2014	ClusteringDimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	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