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Differentiable Unsupervised Feature Selection based on a Gated Laplacian
v1v2v3 (latest)

Differentiable Unsupervised Feature Selection based on a Gated Laplacian

9 July 2020
Ofir Lindenbaum
Uri Shaham
Jonathan Svirsky
Erez Peterfreund
Y. Kluger
ArXiv (abs)PDFHTML

Papers citing "Differentiable Unsupervised Feature Selection based on a Gated Laplacian"

2 / 2 papers shown
Support Recovery with Stochastic Gates: Theory and Application for
  Linear Models
Support Recovery with Stochastic Gates: Theory and Application for Linear ModelsSignal Processing (Signal Process.), 2021
Soham Jana
Henry Li
Yutaro Yamada
Ofir Lindenbaum
465
9
0
29 Oct 2021
Deep Unsupervised Feature Selection by Discarding Nuisance and
  Correlated Features
Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated FeaturesNeural Networks (NN), 2021
Uri Shaham
Ofir Lindenbaum
Jonathan Svirsky
Y. Kluger
326
31
0
11 Oct 2021
1
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