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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 2931–2940 of 3304 papers

Title	Date	Tasks	Status	Hype
Network Representation Learning: Consolidation and Renewed Bearing	May 2, 2019	Dimensionality ReductionGeneral Classification	CodeCode Available	0
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization	May 29, 2020	Bayesian OptimizationDimensionality Reduction	CodeCode Available	0
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms	Nov 16, 2024	Dimensionality Reduction	CodeCode Available	0
Deep Learning of Conjugate Mappings	Apr 1, 2021	Deep LearningDimensionality Reduction	CodeCode Available	0
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations	Aug 1, 2018	Dimensionality ReductionSemantic Similarity	CodeCode Available	0
Joint Embedding of Graphs	Mar 10, 2017	Dimensionality Reduction	CodeCode Available	0
Neural Codes for Image Retrieval	Apr 7, 2014	Dimensionality ReductionImage Retrieval	CodeCode Available	0
Transformers predicting the future. Applying attention in next-frame and time series forecasting	Aug 18, 2021	Dimensionality ReductionTime Series	CodeCode Available	0
Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors	May 28, 2019	Dimensionality ReductionDiversity	CodeCode Available	0
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis	Dec 7, 2023	Dimensionality Reduction	CodeCode Available	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