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CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN
  Execution

CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution

4 July 2022
Taeho Kim
Yongin Kwon
Jemin Lee
Taeho Kim
Sangtae Ha
ArXivPDFHTML

Papers citing "CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution"

4 / 4 papers shown
Title
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural
  Network Pruning
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
14
3
0
08 Apr 2023
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
673
0
24 Jan 2021
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
515
0
09 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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