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The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks

The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks

9 March 2022
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
ArXivPDFHTML

Papers citing "The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks"

9 / 9 papers shown
Title
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Youssouf Emine
Alexandre Forel
Idriss Malek
Thibaut Vidal
30
0
0
28 Aug 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression
MoDeGPT: Modular Decomposition for Large Language Model Compression
Chi-Heng Lin
Shangqian Gao
James Seale Smith
Abhishek Patel
Shikhar Tuli
Yilin Shen
Hongxia Jin
Yen-Chang Hsu
71
6
0
19 Aug 2024
Biologically-Motivated Learning Model for Instructed Visual Processing
Biologically-Motivated Learning Model for Instructed Visual Processing
R. Abel
S. Ullman
13
0
0
04 Jun 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki
Wenyu Chen
X. Meng
Hussein Hazimeh
Natalia Ponomareva
Zhe Zhao
Rahul Mazumder
6
26
0
28 Feb 2023
Model-based feature selection for neural networks: A mixed-integer
  programming approach
Model-based feature selection for neural networks: A mixed-integer programming approach
Shudian Zhao
Calvin Tsay
Jan Kronqvist
19
5
0
20 Feb 2023
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
14
11
0
07 Jun 2022
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
178
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
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
20,471
0
17 Apr 2017
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