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 1851–1860 of 3304 papers

Title	Date	Tasks	Status	Hype
Going Beyond T-SNE: Exposing whatlies in Text Embeddings	Nov 1, 2020	Dimensionality ReductionSentence	—Unverified	0
Towards Measuring Place Function Similarity at Fine Spatial Granularity with Trajectory Embedding	Oct 31, 2020	Dimensionality Reduction	—Unverified	0
RRScell method for automated single-cell profiling of multiplexed immunofluorescence cancer tissue	Oct 30, 2020	Dimensionality Reduction	—Unverified	0
Deep generative LDA	Oct 30, 2020	Dimensionality ReductionSpeaker Recognition	CodeCode Available	0
The Mathematical Foundations of Manifold Learning	Oct 30, 2020	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection	Oct 29, 2020	Anomaly DetectionClustering	—Unverified	0
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques	Oct 29, 2020	Dimensionality ReductionNetwork Embedding	—Unverified	0
Deep Manifold Transformation for Nonlinear Dimensionality Reduction	Oct 28, 2020	Dimensionality Reduction	—Unverified	0
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder	Oct 28, 2020	Anomaly DetectionDimensionality Reduction	—Unverified	0
Nested Grassmannians for Dimensionality Reduction with Applications	Oct 27, 2020	Action RecognitionClustering	CodeCode Available	0

Show:10 25 50

← PrevPage 186 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