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ORCID"Sparsity in Deep Learning: Pruning and growth for efficient inference and ..."
Torsten Hoefler et al. (2021)
- Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste:
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. CoRR abs/2102.00554 (2021)
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