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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 1751–1760 of 3304 papers

Title	Date	Tasks	Status	Hype
YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network	Dec 1, 2020	counterfactualDimensionality Reduction	—Unverified	0
Consistent Representation Learning for High Dimensional Data Analysis	Dec 1, 2020	ClusteringDimensionality Reduction	—Unverified	0
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders	Dec 1, 2020	ClusteringDenoising	CodeCode Available	1
Learning Feature Sparse Principal Subspace	Dec 1, 2020	Dimensionality Reductionfeature selection	CodeCode Available	0
Learning sparse codes from compressed representations with biologically plausible local wiring constraints	Dec 1, 2020	Dimensionality Reduction	CodeCode Available	0
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction	Dec 1, 2020	Dimensionality ReductionSupervised dimensionality reduction	—Unverified	0
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction	Dec 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	0
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform	Dec 1, 2020	Dimensionality Reduction	—Unverified	0
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction	Nov 30, 2020	Dimensionality ReductionSelf-Learning	—Unverified	0
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit	Nov 30, 2020	Binary ClassificationDimensionality Reduction	—Unverified	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