Pruning during training by network efficacy modeling

DOI10.1007/s10994-023-06304-1OpenAlexW4324134189MaRDI QIDQ6134335

Yehong Zhang, Bryan Kian Hsiang Low, Mohit Rajpal

Publication date: 22 August 2023

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

Full work available at URL: https://doi.org/10.1007/s10994-023-06304-1

zbMATH Keywords

multi-output Gaussian processearly pruningforesight pruningnetwork efficacy modelingnetwork saliency

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
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