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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 2531–2540 of 3304 papers

Title	Date	Tasks	Status	Hype
Feature selection in functional data classification with recursive maxima hunting	Jun 7, 2018	Dimensionality Reductionfeature selection	—Unverified	0
SOM-VAE: Interpretable Discrete Representation Learning on Time Series	Jun 6, 2018	ClusteringDimensionality Reduction	CodeCode Available	0
Neural-Kernelized Conditional Density Estimation	Jun 5, 2018	Density EstimationDimensionality Reduction	—Unverified	0
Efficient and Scalable Batch Bayesian Optimization Using K-Means	Jun 4, 2018	Bayesian Optimizationcompressed sensing	—Unverified	0
Similarity encoding for learning with dirty categorical variables	Jun 4, 2018	Dimensionality Reduction	CodeCode Available	0
TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection	Jun 1, 2018	Dimensionality ReductionGeneral Classification	—Unverified	0
CitiusNLP at SemEval-2018 Task 10: The Use of Transparent Distributional Models and Salient Contexts to Discriminate Word Attributes	Jun 1, 2018	AttributeDimensionality Reduction	—Unverified	0
On the Estimation of Entropy in the FastICA Algorithm	May 25, 2018	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
Learning Restricted Boltzmann Machines via Influence Maximization	May 25, 2018	Collaborative FilteringDimensionality Reduction	—Unverified	0
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder	May 24, 2018	Dimensionality ReductionKnowledge Base Completion	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