The rise of the lottery heroes: why zero-shot pruning is hard

24 February 2022

Papers citing "The rise of the lottery heroes: why zero-shot pruning is hard"

8 / 8 papers shown

Title
Debiasing surgeon: fantastic weights and how to find them Rémi Nahon Ivan Luiz De Moura Matos Van-Tam Nguyen Enzo Tartaglione 36 1 0 21 Mar 2024
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 33 0 0 19 Dec 2023
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint Ael Quélennec Enzo Tartaglione Pavlo Mozharovskyi Van-Tam Nguyen 31 2 0 08 Dec 2023
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? Liao Zhu Victor Quétu Van-Tam Nguyen Enzo Tartaglione 43 13 0 12 Aug 2023
Can we avoid Double Descent in Deep Neural Networks? Victor Quétu Enzo Tartaglione AI4CE 20 3 0 26 Feb 2023
To update or not to update? Neurons at equilibrium in deep models Andrea Bragagnolo Enzo Tartaglione Marco Grangetto 35 10 0 19 Jul 2022
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna A. Fiandrotti Marco Grangetto 40 18 0 07 Feb 2021
The Lottery Ticket Hypothesis for Object Recognition Sharath Girish Shishira R. Maiya Kamal Gupta Hao Chen L. Davis Abhinav Shrivastava 83 60 0 08 Dec 2020