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CHIP: CHannel Independence-based Pruning for Compact Neural Networks

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

26 October 2021
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
    VLM
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Papers citing "CHIP: CHannel Independence-based Pruning for Compact Neural Networks"

17 / 67 papers shown
Title
State-driven Implicit Modeling for Sparsity and Robustness in Neural
  Networks
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks
Alicia Y. Tsai
Juliette Decugis
L. Ghaoui
Alper Atamtürk
30
3
0
19 Sep 2022
CWP: Instance complexity weighted channel-wise soft masks for network
  pruning
CWP: Instance complexity weighted channel-wise soft masks for network pruning
Jiapeng Wang
Ming Ma
Zhenhua Yu
17
0
0
08 Sep 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency
  Maps
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
FAtt
AAML
24
19
0
07 Sep 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact
  DNN
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Huy Phan
Cong Shi
Yi Xie
Tian-Di Zhang
Zhuohang Li
Tianming Zhao
Jian-Dong Liu
Yan Wang
Ying Chen
Bo Yuan
AAML
32
6
0
22 Aug 2022
Deep Neural Networks pruning via the Structured Perspective
  Regularization
Deep Neural Networks pruning via the Structured Perspective Regularization
M. Cacciola
A. Frangioni
Xinlin Li
Andrea Lodi
3DPC
28
5
0
28 Jun 2022
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
29
11
0
07 Jun 2022
Compact Neural Networks via Stacking Designed Basic Units
Compact Neural Networks via Stacking Designed Basic Units
Weichao Lan
Y. Cheung
Juyong Jiang
29
0
0
03 May 2022
End-to-End Sensitivity-Based Filter Pruning
End-to-End Sensitivity-Based Filter Pruning
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
AAML
22
1
0
15 Apr 2022
Pruning-aware Sparse Regularization for Network Pruning
Pruning-aware Sparse Regularization for Network Pruning
Nanfei Jiang
Xu Zhao
Chaoyang Zhao
Yongqi An
Ming Tang
Jinqiao Wang
3DPC
24
12
0
18 Jan 2022
A Highly Effective Low-Rank Compression of Deep Neural Networks with
  Modified Beam-Search and Modified Stable Rank
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo
Suhyun Kang
Wonjong Rhee
19
1
0
30 Nov 2021
Neural network relief: a pruning algorithm based on neural activity
Neural network relief: a pruning algorithm based on neural activity
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
46
10
0
22 Sep 2021
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
50
166
0
21 Oct 2020
A Progressive Sub-Network Searching Framework for Dynamic Inference
A Progressive Sub-Network Searching Framework for Dynamic Inference
Li Yang
Zhezhi He
Yu Cao
Deliang Fan
AI4CE
12
6
0
11 Sep 2020
Weight-dependent Gates for Network Pruning
Weight-dependent Gates for Network Pruning
Yun Li
Zechun Liu
Weiqun Wu
Haotian Yao
X. Zhang
Chi Zhang
B. Yin
29
13
0
04 Jul 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
137
189
0
19 Mar 2020
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
191
1,027
0
06 Mar 2020
Differentiable Sparsification for Deep Neural Networks
Differentiable Sparsification for Deep Neural Networks
Yognjin Lee
20
7
0
08 Oct 2019
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