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 2211–2220 of 3304 papers

Title	Date	Tasks	Status	Hype
Understanding Memory Modules on Learning Simple Algorithms	Jul 1, 2019	Dimensionality Reduction	—Unverified	0
Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction	Jul 1, 2019	Dimensionality Reduction	—Unverified	0
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks	Jul 1, 2019	Dimensionality ReductionTime Series Analysis	CodeCode Available	0
Anomaly Subsequence Detection with Dynamic Local Density for Time Series	Jun 28, 2019	Anomaly DetectionDensity Estimation	—Unverified	0
An Improvement of PAA on Trend-Based Approximation for Time Series	Jun 28, 2019	Anomaly DetectionDimensionality Reduction	—Unverified	0
Learning Fair Representations for Kernel Models	Jun 27, 2019	Dimensionality ReductionFairness	CodeCode Available	0
Tuning-Free Disentanglement via Projection	Jun 27, 2019	Dimensionality ReductionDisentanglement	—Unverified	0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images	Jun 23, 2019	Dimensionality ReductionEarth Observation	—Unverified	0
Fisher and Kernel Fisher Discriminant Analysis: Tutorial	Jun 22, 2019	Dimensionality Reduction	CodeCode Available	0
Screening Sinkhorn Algorithm for Regularized Optimal Transport	Jun 20, 2019	Dimensionality ReductionDomain Adaptation	CodeCode Available	0

Show:10 25 50

← PrevPage 222 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