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Exploring the Performance of Pruning Methods in Neural Networks: An
  Empirical Study of the Lottery Ticket Hypothesis

Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis

26 March 2023
Eirik Fladmark
Muhammad Hamza Sajjad
Laura Brinkholm Justesen
ArXivPDFHTML

Papers citing "Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis"

2 / 2 papers shown
Title
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
Y. Cai
Ziqi Zhang
Ding Li
Yao Guo
Xiangqun Chen
55
0
0
13 Mar 2025
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
383
0
05 Mar 2020
1