SOTAVerified|Agents Browse Leaderboard About

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 181–190 of 3304 papers

Title	Date	Tasks	Status	Hype
ActUp: Analyzing and Consolidating tSNE and UMAP	May 12, 2023	Dimensionality Reduction	CodeCode Available	1
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation	Dec 22, 2022	Dimensionality ReductionGenerative Adversarial Network	CodeCode Available	1
Improving Metric Dimensionality Reduction with Distributed Topology	Jun 14, 2021	Dimensionality Reduction	CodeCode Available	1
Improving the HardNet Descriptor	Jul 19, 2020	Dimensionality ReductionImage Retrieval	CodeCode Available	1
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms	Aug 28, 2022	Dimensionality ReductionQuantum Machine Learning	CodeCode Available	1
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction	Sep 21, 2020	Dimensionality Reduction	CodeCode Available	1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm	Oct 19, 2020	Decision MakingDimensionality Reduction	CodeCode Available	1
Latent variable modeling with random features	Jun 19, 2020	Dimensionality Reduction	CodeCode Available	1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction	Jun 8, 2021	Bayesian InferenceDimensionality Reduction	CodeCode Available	1
Distributional Principal Autoencoders	Apr 21, 2024	DecoderDimensionality Reduction	CodeCode Available	1

Show:10 25 50

← PrevPage 19 of 331Next →

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