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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 181–190 of 3304 papers

Title	Date	Tasks	Status	Hype
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1
Neural Decomposition: Functional ANOVA with Variational Autoencoders	Jun 25, 2020	DecoderDimensionality Reduction	CodeCode Available	1
Extracting the main trend in a dataset: the Sequencer algorithm	Jun 24, 2020	AstronomyDimensionality Reduction	CodeCode Available	1
Latent variable modeling with random features	Jun 19, 2020	Dimensionality Reduction	CodeCode Available	1
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling	Jun 18, 2020	Dimensionality ReductionPosition	CodeCode Available	1
Markov-Lipschitz Deep Learning	Jun 15, 2020	Deep LearningDimensionality Reduction	CodeCode Available	1
Deep Dimension Reduction for Supervised Representation Learning	Jun 10, 2020	Dimensionality ReductionDisentanglement	CodeCode Available	1
DartMinHash: Fast Sketching for Weighted Sets	May 23, 2020	Dimensionality Reduction	CodeCode Available	1
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation	May 14, 2020	Dimensionality ReductionImage Retrieval	CodeCode Available	1
Fast Network Embedding Enhancement via High Order Proximity Approximation	May 13, 2020	Dimensionality ReductionLink Prediction	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