Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
T Strypsteen, A Bertrand - arXiv preprint arXiv:2406.01162, 2024 - arxiv.org
In this paper, we introduce Conditional Gumbel-Softmax as a method to perform end-to-end
learning of the optimal feature subset for a given task and deep neural network (DNN) …
learning of the optimal feature subset for a given task and deep neural network (DNN) …
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
T Strypsteen, A Bertrand - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
In this paper, we introduce Conditional Gumbel-Softmax as a method to perform end-to-end
learning of the optimal feature subset for a given task and deep neural network (DNN) …
learning of the optimal feature subset for a given task and deep neural network (DNN) …