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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 151–160 of 3304 papers

Title	Date	Tasks	Status	Hype
An Embedding is Worth a Thousand Noisy Labels	Aug 26, 2024	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available	1
Deep reconstruction of strange attractors from time series	Feb 14, 2020	Dimensionality ReductionTime Series	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
DefakeHop: A Light-Weight High-Performance Deepfake Detector	Mar 11, 2021	DeepFake DetectionDimensionality Reduction	CodeCode Available	1
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models	Apr 14, 2022	Density EstimationDimensionality Reduction	CodeCode Available	1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences	Jun 21, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available	1
A Memory Efficient Baseline for Open Domain Question Answering	Dec 30, 2020	Dimensionality ReductionOpen-Domain Question Answering	CodeCode Available	1
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder	May 6, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1
A local approach to parameter space reduction for regression and classification tasks	Jul 22, 2021	ClusteringDimensionality Reduction	CodeCode Available	1
An Additive Autoencoder for Dimension Estimation	Oct 13, 2022	Dimensionality Reduction	CodeCode Available	1

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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