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Rethinking Weight Decay For Efficient Neural Network Pruning
v1v2v3v4 (latest)

Rethinking Weight Decay For Efficient Neural Network Pruning

Journal of Imaging (JI), 2020
20 November 2020
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
ArXiv (abs)PDFHTML

Papers citing "Rethinking Weight Decay For Efficient Neural Network Pruning"

12 / 12 papers shown
Adaptive Training of INRs via Pruning and Densification
Adaptive Training of INRs via Pruning and Densification
Diana Aldana
João Paulo Lima
Daniel Csillag
Daniel Perazzo
Haoan Feng
Luiz Velho
Tiago Novello
165
0
0
27 Oct 2025
Characterising the Inductive Biases of Neural Networks on Boolean Data
Characterising the Inductive Biases of Neural Networks on Boolean Data
Chris Mingard
Lukas Seier
Niclas Goring
Andrei-Vlad Badelita
Charles London
Ard A. Louis
AI4CE
311
1
0
29 May 2025
FLoCoRA: Federated learning compression with low-rank adaptation
FLoCoRA: Federated learning compression with low-rank adaptation
Lucas Grativol Ribeiro
Mathieu Léonardon
Guillaume Muller
Virginie Fresse
Matthieu Arzel
AI4CE
230
6
0
20 Jun 2024
Progressive Gradient Flow for Robust N:M Sparsity Training in
  Transformers
Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers
Abhimanyu Bambhaniya
Amir Yazdanbakhsh
Suvinay Subramanian
Sheng-Chun Kao
Shivani Agrawal
Utku Evci
Tushar Krishna
370
25
0
07 Feb 2024
Effective Multi-Stage Training Model For Edge Computing Devices In
  Intrusion Detection
Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
Thua Huynh Trong
Thanh Nguyen Hoang
164
7
0
31 Jan 2024
Federated learning compression designed for lightweight communications
Federated learning compression designed for lightweight communicationsInternational Conference on Electronics, Circuits, and Systems (ICECS), 2023
Lucas Grativol Ribeiro
Mathieu Léonardon
Guillaume Muller
Virginie Fresse
Matthieu Arzel
FedML
232
6
0
23 Oct 2023
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
Hugo Tessier
Ghouti Boukli Hacene
Vincent Gripon
242
2
0
22 Sep 2023
A Strong and Simple Deep Learning Baseline for BCI MI Decoding
A Strong and Simple Deep Learning Baseline for BCI MI Decoding
Yassine El Ouahidi
Vincent Gripon
Bastien Pasdeloup
Ghaith Bouallegue
Nicolas Farrugia
G. Lioi
BDL
294
8
0
11 Sep 2023
Towards Sparsification of Graph Neural Networks
Towards Sparsification of Graph Neural NetworksICCD (ICCD), 2022
Hongwu Peng
Deniz Gurevin
Shaoyi Huang
Tong Geng
Weiwen Jiang
O. Khan
Caiwen Ding
GNN
343
31
0
11 Sep 2022
Energy Consumption Analysis of pruned Semantic Segmentation Networks on
  an Embedded GPU
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
GNNSSeg3DPC
168
2
0
13 Jun 2022
Leveraging Structured Pruning of Convolutional Neural Networks
Leveraging Structured Pruning of Convolutional Neural NetworksIEEE Workshop on Signal Processing Systems (SiPS), 2022
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
CVBM
163
1
0
13 Jun 2022
Pruning Graph Convolutional Networks to select meaningful graph
  frequencies for fMRI decoding
Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decodingEuropean Signal Processing Conference (EUSIPCO), 2022
Yassine El Ouahidi
Hugo Tessier
G. Lioi
Nicolas Farrugia
Bastien Pasdeloup
Vincent Gripon
GNN
238
2
0
09 Mar 2022
1
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