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 2731–2740 of 3304 papers

Title	Date	Tasks	Status	Hype
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity	Aug 1, 2017	Dimensionality ReductionSemantic Similarity	CodeCode Available	0
Joint Dimensionality Reduction and Metric Learning: A Geometric Take	Aug 1, 2017	Dimensionality ReductionMetric Learning	—Unverified	0
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation	Aug 1, 2017	Dimensionality ReductionInformation Retrieval	—Unverified	0
Topology Analysis of International Networks Based on Debates in the United Nations	Jul 29, 2017	ClusteringDimensionality Reduction	—Unverified	0
Sparse Deep Nonnegative Matrix Factorization	Jul 28, 2017	BenchmarkingDimensionality Reduction	—Unverified	0
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition	Jul 26, 2017	Dimensionality ReductionEvolutionary Algorithms	—Unverified	0
A Survey on Multi-Task Learning	Jul 25, 2017	Active LearningClustering	CodeCode Available	0
SAR Target Recognition Using the Multi-aspect-aware Bidirectional LSTM Recurrent Neural Networks	Jul 25, 2017	Deep LearningDimensionality Reduction	—Unverified	0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization	Jul 25, 2017	Dictionary LearningDimensionality Reduction	—Unverified	0
Using PCA and Factor Analysis for Dimensionality Reduction of Bio-informatics Data	Jul 22, 2017	Dimensionality Reduction	—Unverified	0

Show:10 25 50

← PrevPage 274 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