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03/10/2023
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
Feature selection that selects an informative subset of variables from d...
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11/26/2022
Where to Pay Attention in Sparse Training for Feature Selection?
A new line of research for feature selection based on neural networks ha...
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07/08/2022
Memory-free Online Change-point Detection: A Novel Neural Network Approach
Change-point detection (CPD), which detects abrupt changes in the data d...
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06/28/2021
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity
Recent works on sparse neural networks have demonstrated that it is poss...
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06/19/2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Works on lottery ticket hypothesis (LTH) and single-shot network pruning...
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12/01/2020
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Major complications arise from the recent increase in the amount of high...
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06/24/2020
