9

Published as a conference paper at ICLR 2023

Torsten Hoeﬂer, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, and Alexandra Peste. Sparsity in deep
learning: Pruning and growth for efﬁcient inference and training in neural networks. Journal
of Machine Learning Research, 2021. URL http://jmlr.org/papers/v22/21-0366.
html.
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