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 2491–2500 of 3304 papers

Title	Date	Tasks	Status	Hype
Model-Free Context-Aware Word Composition	Aug 1, 2018	Dimensionality ReductionLearning Word Embeddings	—Unverified	0
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations	Aug 1, 2018	Dimensionality ReductionSemantic Similarity	CodeCode Available	0
TRAPACC and TRAPACCS at PARSEME Shared Task 2018: Neural Transition Tagging of Verbal Multiword Expressions	Aug 1, 2018	ARCDimensionality Reduction	—Unverified	0
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data	Jul 31, 2018	Dimensionality ReductionGPU	CodeCode Available	0
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas	Jul 27, 2018	Dimensionality Reduction	—Unverified	0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series	Jul 26, 2018	Dimensionality ReductionEEG	—Unverified	0
Premise selection with neural networks and distributed representation of features	Jul 26, 2018	Binary ClassificationDimensionality Reduction	CodeCode Available	0
Learning low dimensional word based linear classifiers using Data Shared Adaptive Bootstrap Aggregated Lasso with application to IMDb data	Jul 26, 2018	Dimensionality ReductionEnsemble Learning	—Unverified	0
Multi-view Reconstructive Preserving Embedding for Dimension Reduction	Jul 25, 2018	Dimensionality ReductionDocument Classification	—Unverified	0
Prototype Discovery using Quality-Diversity	Jul 25, 2018	Dimensionality ReductionDiversity	—Unverified	0

Show:10 25 50

← PrevPage 250 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