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 841–850 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Earthmover-based manifold learning for analyzing molecular conformation spaces	Oct 16, 2019	Dimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases	May 19, 2022	Dimensionality Reduction	CodeCode Available	0	5
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions	Feb 8, 2023	Depth EstimationDepth Prediction	CodeCode Available	0	5
Interactive Latent Interpolation on MNIST Dataset	Oct 15, 2020	Dimensionality Reduction	CodeCode Available	0	5
Principal Orthogonal Latent Components Analysis (POLCA Net)	Oct 9, 2024	Dimensionality ReductionFeature Correlation	CodeCode Available	0	5
Spherical Rotation Dimension Reduction with Geometric Loss Functions	Apr 23, 2022	Dimensionality Reduction	CodeCode Available	0	5
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	0	5
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction	Aug 17, 2023	Click-Through Rate PredictionDimensionality Reduction	—Unverified	0	0

Show:10 25 50

← PrevPage 85 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