Winning the Lottery Ahead of Time: Efficient Early Network Pruning

Winning the Lottery Ahead of Time: Efficient Early Network Pruning

21 June 2022

Bertrand Charpentier

Stephan Günnemann

Papers citing "Winning the Lottery Ahead of Time: Efficient Early Network Pruning"

5 / 5 papers shown

Title
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 28 0 0 24 Apr 2024
Towards Compute-Optimal Transfer Learning Massimo Caccia Alexandre Galashov Arthur Douillard Amal Rannen-Triki Dushyant Rao Michela Paganini Laurent Charlin MarcÁurelio Ranzato Razvan Pascanu 13 3 0 25 Apr 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning Shangli Zhou Mikhail A. Bragin Lynn Pepin Deniz Gurevin Fei Miao Caiwen Ding 16 3 0 08 Apr 2023
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 52 3 0 09 Jul 2022
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 150 377 0 23 Jul 2020