SOTAVerified|Agents Browse Leaderboard About Blog

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 3041–3050 of 3304 papers

Title	Date	Tasks	Status	Hype
The Wasserstein-Fourier Distance for Stationary Time Series	Dec 11, 2019	Data AugmentationDimensionality Reduction	CodeCode Available	0
Novel optimized crow search algorithm for feature selection	Apr 30, 2022	ClassificationComputational Efficiency	CodeCode Available	0
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution	Jun 13, 2025	Dimensionality ReductionSuper-Resolution	CodeCode Available	0
Deep Diffusion Maps	May 9, 2025	Dimensionality Reduction	CodeCode Available	0
Similarity encoding for learning with dirty categorical variables	Jun 4, 2018	Dimensionality Reduction	CodeCode Available	0
Novelty Detection via Robust Variational Autoencoding	Jun 9, 2020	Dimensionality ReductionNovelty Detection	CodeCode Available	0
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles	Apr 30, 2022	Dimensionality Reduction	CodeCode Available	0
Similarity Learning for High-Dimensional Sparse Data	Nov 10, 2014	Dimensionality ReductionMetric Learning	CodeCode Available	0
nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	Feb 22, 2023	Dimensionality Reduction	CodeCode Available	0
Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization	Jun 25, 2021	Dimensionality Reductionfeature selection	CodeCode Available	0

Show:10 25 50

← PrevPage 305 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