NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
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Publication:5211705
DOI10.1109/TC.2019.2914438OpenAlexW2963319203WikidataQ127934635 ScholiaQ127934635MaRDI QIDQ5211705
Xiaoliang Dai, Hongxu Yin, Niraj Kumar Jha
Publication date: 28 January 2020
Published in: IEEE Transactions on Computers (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.02017
Related Items (6)
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks ⋮ A brain-inspired algorithm for training highly sparse neural networks ⋮ Pruning during training by network efficacy modeling ⋮ Unnamed Item ⋮ NeST ⋮ Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network
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