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 201–210 of 3304 papers

Title	Date	Tasks	Status	Hype
Statistical power for cluster analysis	Mar 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	1
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections	Feb 17, 2020	Dimensionality Reduction	CodeCode Available	1
Deep reconstruction of strange attractors from time series	Feb 14, 2020	Dimensionality ReductionTime Series	CodeCode Available	1
Molecular Insights from Conformational Ensembles via Machine Learning	Feb 4, 2020	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	1
NCVis: Noise Contrastive Approach for Scalable Visualization	Jan 30, 2020	Data VisualizationDimensionality Reduction	CodeCode Available	1
Unifying Deep Local and Global Features for Image Search	Jan 14, 2020	Dimensionality ReductionImage Retrieval	CodeCode Available	1
Autoencoding with a Classifier System	Oct 23, 2019	DecoderDimensionality Reduction	CodeCode Available	1
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction	Sep 19, 2019	Dimensionality Reduction	CodeCode Available	1
Fast and Accurate Network Embeddings via Very Sparse Random Projection	Aug 30, 2019	Dimensionality ReductionNetwork Embedding	CodeCode Available	1
Adapting Text Embeddings for Causal Inference	May 29, 2019	Causal IdentificationCausal Inference	CodeCode Available	1

Show:10 25 50

← PrevPage 21 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