Deep unsupervised feature selection by discarding nuisance and correlated features

DOI10.1016/j.neunet.2022.04.002arXiv2110.05306OpenAlexW3206722405MaRDI QIDQ6077005

Jonathan Svirsky, Ofir Lindenbaum, Yuval Kluger, Uri Shaham

Publication date: 17 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.05306

zbMATH Keywords

unsupervised feature selectionLaplacian scoreconcrete layer

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computational aspects of data analysis and big data (68T09) Metric embeddings as related to computational problems and algorithms (68R12)

Cites Work

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• Feature selection with SVD entropy: some modification and extension
• Unsupervised feature selection by regularized self-representation
• Adaptive estimation of a quadratic functional by model selection.
• Diffusion maps

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