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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 91–100 of 3304 papers

Title	Date	Tasks	Status	Hype
An Embedding is Worth a Thousand Noisy Labels	Aug 26, 2024	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available	1
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models	Apr 14, 2022	Density EstimationDimensionality Reduction	CodeCode Available	1
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization	Nov 28, 2021	Dimensionality ReductionFeature Engineering	CodeCode Available	1
Dimensionality reduction to maximize prediction generalization capability	Mar 1, 2020	Dimensionality ReductionPrediction	CodeCode Available	1
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA	Jun 17, 2021	Dimensionality ReductionDisentanglement	CodeCode Available	1
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts	May 10, 2022	Dimensionality ReductionKnowledge Distillation	CodeCode Available	1
Distributional Principal Autoencoders	Apr 21, 2024	DecoderDimensionality Reduction	CodeCode Available	1
DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs	Apr 13, 2022	Dimensionality Reduction	CodeCode Available	1
An efficient aggregation method for the symbolic representation of temporal data	Jan 14, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1
A New Basis for Sparse Principal Component Analysis	Jul 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	1

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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