A brain-inspired algorithm for training highly sparse neural networks

DOI10.1007/s10994-022-06266-warXiv1903.07138OpenAlexW3208631787MaRDI QIDQ6097119

Zahra Atashgahi, Raymond Veldhuis, Mykola Pechenizkiy, Shiwei Liu, Joost Pieterse, Decebal Constantin Mocanu

Publication date: 12 June 2023

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1903.07138

zbMATH Keywords

deep learningsparse neural networkssparse training

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
• NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

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