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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 111–120 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation	Oct 2, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1	5
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath	Mar 15, 2022	8kAudio Classification	CodeCode Available	1	5
Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm	Oct 19, 2020	Decision MakingDimensionality Reduction	CodeCode Available	1	5
Autoencoding with a Classifier System	Oct 23, 2019	DecoderDimensionality Reduction	CodeCode Available	1	5
CatBoost: gradient boosting with categorical features support	Oct 24, 2018	ClusteringCPU	CodeCode Available	1	5
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations	Oct 14, 2024	Dimensionality ReductionMuJoCo	CodeCode Available	1	5
HUMAP: Hierarchical Uniform Manifold Approximation and Projection	Jun 14, 2021	Dimensionality Reduction	CodeCode Available	1	5
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation	Dec 22, 2022	Dimensionality ReductionGenerative Adversarial Network	CodeCode Available	1	5
Bayesian Optimization of Sampling Densities in MRI	Sep 15, 2022	Bayesian OptimizationDimensionality Reduction	CodeCode Available	1	5
Adversarial Autoencoders	Nov 18, 2015	ClusteringData Visualization	CodeCode Available	1	5

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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