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 451–460 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images	Nov 23, 2022	Dimensionality ReductionImage Retrieval	CodeCode Available	0	5
Auto-Encoding Variational Bayes for Inferring Topics and Visualization	Oct 19, 2020	Dimensionality Reduction	CodeCode Available	0	5
In search of the weirdest galaxies in the Universe	Jul 16, 2020	ClusteringDimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data	Mar 6, 2019	Dimensionality ReductionGaussian Processes	CodeCode Available	0	5
Interactive Latent Interpolation on MNIST Dataset	Oct 15, 2020	Dimensionality Reduction	CodeCode Available	0	5
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder	May 24, 2018	Dimensionality ReductionKnowledge Base Completion	CodeCode Available	0	5
Interpretable dimensionality reduction using weighted linear transformation	Mar 26, 2025	Dimensionality Reduction	CodeCode Available	0	5
Automatic Differentiation in PyTorch	Oct 28, 2017	ClusteringCPU	CodeCode Available	0	5
A novel approach for Fair Principal Component Analysis based on eigendecomposition	Aug 24, 2022	Dimensionality ReductionFairness	CodeCode Available	0	5

Show:10 25 50

← PrevPage 46 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