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One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
Hubens, Nathan; Mancas, Matei; Gosselin, Bernard et al.
2021
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https://hdl.handle.net/20.500.12907/42435
 

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Research center :
CRTI - Centre de Recherche en Technologie de l'Information
Disciplines :
Computer science
Author, co-author :
Hubens, Nathan ;  Université de Mons > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle
Mancas, Matei  ;  Université de Mons > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle
Gosselin, Bernard  ;  Université de Mons > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle
Preda, Marius
Zaharia, Titus
Language :
English
Title :
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
Publication date :
08 July 2021
Event name :
Sparsity in Neural Networks: Advancing Understanding and Practice
Event place :
Remote, NULL
Event date :
2021
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
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since 30 November 2021

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