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 191–200 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
A local approach to parameter space reduction for regression and classification tasks	Jul 22, 2021	ClusteringDimensionality Reduction	CodeCode Available	1	5
Deep reconstruction of strange attractors from time series	Feb 14, 2020	Dimensionality ReductionTime Series	CodeCode Available	1	5
DefakeHop: A Light-Weight High-Performance Deepfake Detector	Mar 11, 2021	DeepFake DetectionDimensionality Reduction	CodeCode Available	1	5
Neural Decomposition: Functional ANOVA with Variational Autoencoders	Jun 25, 2020	DecoderDimensionality Reduction	CodeCode Available	1	5
OmiEmbed: a unified multi-task deep learning framework for multi-omics data	Feb 3, 2021	BIG-bench Machine LearningDecision Making	CodeCode Available	1	5
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression	Mar 23, 2024	Dimensionality ReductionGPU	CodeCode Available	1	5
ParaDime: A Framework for Parametric Dimensionality Reduction	Oct 10, 2022	Dimensionality Reduction	CodeCode Available	1	5
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder	May 6, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1	5
Clustering with UMAP: Why and How Connectivity Matters	Aug 12, 2021	ClusteringDimensionality Reduction	CodeCode Available	1	5
Going Beyond T-SNE: Exposing whatlies in Text Embeddings	Sep 4, 2020	Dimensionality ReductionSentence	CodeCode Available	1	5

Show:10 25 50

← PrevPage 20 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