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Is Complexity Required for Neural Network Pruning? A Case Study on
  Global Magnitude Pruning

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning

29 September 2022
Manas Gupta
Efe Camci
Vishandi Rudy Keneta
Abhishek Vaidyanathan
Ritwik Kanodia
Chuan-Sheng Foo
Wu Min
Lin Jie
ArXivPDFHTML

Papers citing "Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning"

6 / 6 papers shown
Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
102
0
0
27 Mar 2025
Magnitude Attention-based Dynamic Pruning
Magnitude Attention-based Dynamic Pruning
Jihye Back
Namhyuk Ahn
Jang-Hyun Kim
25
2
0
08 Jun 2023
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
183
1,027
0
06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
222
382
0
05 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,460
0
23 Jan 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
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