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Channel Pruning for Accelerating Very Deep Neural Networks
v1v2 (latest)

Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017
Yihui He
Xiangyu Zhang
Jian Sun
ArXiv (abs)PDFHTML

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

50 / 1,097 papers shown
Title
The Efficiency Misnomer
The Efficiency Misnomer
Daoyuan Chen
Liuyi Yao
Dawei Gao
Ashish Vaswani
Yaliang Li
109
103
0
25 Oct 2021
Instance-Conditional Knowledge Distillation for Object Detection
Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang
Peizhen Zhang
Xinming Zhang
Jian Sun
N. Zheng
98
79
0
25 Oct 2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu
Baopu Li
Zhen Chen
Yixuan Yuan
FAtt
42
9
0
24 Oct 2021
Scalable Smartphone Cluster for Deep Learning
Scalable Smartphone Cluster for Deep Learning
Payam Abdisarabshali
Jaehee Jang
Nicholas Accurso
Seijoon Kim
Filippo Malandra
Moon Sik Jeong
Kwang Choon Kim
Seon Heo
Yoon-Ji Kim
Sungroh Yoon
22
4
0
23 Oct 2021
Federated Unlearning via Class-Discriminative Pruning
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang
Song Guo
Xin Xie
Heng Qi
MU
89
146
0
22 Oct 2021
Evolving Transferable Neural Pruning Functions
Evolving Transferable Neural Pruning Functions
Yuchen Liu
S. Kung
D. Wentzlaff
63
1
0
21 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
59
1
0
21 Oct 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Yanli Liu
Bochen Guan
Qinwen Xu
Weiyi Li
Shuxue Quan
77
2
0
21 Oct 2021
EBJR: Energy-Based Joint Reasoning for Adaptive Inference
EBJR: Energy-Based Joint Reasoning for Adaptive Inference
Mohammad Akbari
Amin Banitalebi-Dehkordi
Yong Zhang
BDLMQ
82
7
0
20 Oct 2021
SOSP: Efficiently Capturing Global Correlations by Second-Order
  Structured Pruning
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Manuel Nonnenmacher
Thomas Pfeil
Ingo Steinwart
David Reeb
64
27
0
19 Oct 2021
Channel redundancy and overlap in convolutional neural networks with
  channel-wise NNK graphs
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
David Bonet
Antonio Ortega
Javier Ruiz-Hidalgo
Sarath Shekkizhar
GNN
79
7
0
18 Oct 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary
  Neural Networks
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks
Yikai Wang
Yi Yang
Gang Hua
Anbang Yao
MQ
65
15
0
18 Oct 2021
A Dimensionality Reduction Approach for Convolutional Neural Networks
A Dimensionality Reduction Approach for Convolutional Neural Networks
L. Meneghetti
N. Demo
G. Rozza
168
14
0
18 Oct 2021
Finding Everything within Random Binary Networks
Finding Everything within Random Binary Networks
Kartik K. Sreenivasan
Shashank Rajput
Jy-yong Sohn
Dimitris Papailiopoulos
39
10
0
18 Oct 2021
Dynamic Slimmable Denoising Network
Dynamic Slimmable Denoising Network
Zutao Jiang
Changlin Li
Xiaojun Chang
Jihua Zhu
Yi Yang
AI4CE
31
16
0
17 Oct 2021
Network Augmentation for Tiny Deep Learning
Network Augmentation for Tiny Deep Learning
Han Cai
Chuang Gan
Ji Lin
Song Han
133
30
0
17 Oct 2021
Fire Together Wire Together: A Dynamic Pruning Approach with
  Self-Supervised Mask Prediction
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction
Sara Elkerdawy
Mostafa Elhoushi
Kuanqi Cai
Nilanjan Ray
CVBM
88
41
0
15 Oct 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie
  Devices
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao
Xi Sheryl Zhang
Wentao Zhu
Jiaxing Wang
Sen Yang
Ji Liu
Jian Cheng
88
2
0
15 Oct 2021
Mining the Weights Knowledge for Optimizing Neural Network Structures
Mining the Weights Knowledge for Optimizing Neural Network Structures
Mengqiao Han
Xiabi Liu
Zhaoyang Hai
Xin Duan
17
1
0
11 Oct 2021
Weight Evolution: Improving Deep Neural Networks Training through
  Evolving Inferior Weight Values
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
Zhenquan Lin
K. Guo
Xiaofen Xing
Xiangmin Xu
ODL
56
1
0
09 Oct 2021
Designing the Architecture of a Convolutional Neural Network
  Automatically for Diabetic Retinopathy Diagnosis
Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
Fahman Saeed
M. Hussain
Hatim Aboalsamh
Fadwa Al Adel
A. Owaifeer
110
6
0
08 Oct 2021
GNN is a Counter? Revisiting GNN for Question Answering
GNN is a Counter? Revisiting GNN for Question Answering
Kuan-Chieh Wang
Yuyu Zhang
Diyi Yang
Le Song
Tao Qin
LMTD
74
31
0
07 Oct 2021
Towards Efficient Post-training Quantization of Pre-trained Language
  Models
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai
Lu Hou
Lifeng Shang
Xin Jiang
Irwin King
Michael R. Lyu
MQ
147
48
0
30 Sep 2021
Prune Your Model Before Distill It
Prune Your Model Before Distill It
Jinhyuk Park
Albert No
VLM
132
28
0
30 Sep 2021
Distribution-sensitive Information Retention for Accurate Binary Neural
  Network
Distribution-sensitive Information Retention for Accurate Binary Neural Network
Haotong Qin
Xiangguo Zhang
Ruihao Gong
Yifu Ding
Yi Xu
Xianglong Liu
MQ
71
97
0
25 Sep 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
115
11
0
22 Sep 2021
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning
Hanwei Fan
Jiandong Mu
W. Zhang
77
5
0
22 Sep 2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and
  Transformers
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Changlin Li
Guangrun Wang
Bing Wang
Xiaodan Liang
Zhihui Li
Xiaojun Chang
96
9
0
21 Sep 2021
Learning Versatile Convolution Filters for Efficient Visual Recognition
Learning Versatile Convolution Filters for Efficient Visual Recognition
Kai Han
Yunhe Wang
Chang Xu
Chunjing Xu
Enhua Wu
Dacheng Tao
60
8
0
20 Sep 2021
Dense Pruning of Pointwise Convolutions in the Frequency Domain
Dense Pruning of Pointwise Convolutions in the Frequency Domain
Mark Buckler
Neil Adit
Yuwei Hu
Zhiru Zhang
Adrian Sampson
3DPC
53
2
0
16 Sep 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
Xiangcheng Liu
Jian Cao
Hongyi Yao
Wenyu Sun
Yuan Zhang
61
2
0
14 Sep 2021
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model
  via Refined Gradients for Pruned Weights
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
Jang-Hyun Kim
Jayeon Yoo
Yeji Song
Kiyoon Yoo
Nojun Kwak
69
6
0
10 Sep 2021
ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and
  Sparse DNNs
ECQx^{\text{x}}x: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
Daniel Becking
Maximilian Dreyer
Wojciech Samek
Karsten Müller
Sebastian Lapuschkin
MQ
356
16
0
09 Sep 2021
RepNAS: Searching for Efficient Re-parameterizing Blocks
RepNAS: Searching for Efficient Re-parameterizing Blocks
Mingyang Zhang
Xinyi Yu
Jingtao Rong
L. Ou
75
20
0
08 Sep 2021
GDP: Stabilized Neural Network Pruning via Gates with Differentiable
  Polarization
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Yi Guo
Huan Yuan
Jianchao Tan
Zhangyang Wang
Sen Yang
Ji Liu
92
46
0
06 Sep 2021
Quantization of Generative Adversarial Networks for Efficient Inference:
  a Methodological Study
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study
Pavel Andreev
Alexander Fritzler
Dmitry Vetrov
MQ
46
11
0
31 Aug 2021
Pruning with Compensation: Efficient Channel Pruning for Deep
  Convolutional Neural Networks
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
Zhouyang Xie
Yan Fu
Sheng-Zhao Tian
Junlin Zhou
Duanbing Chen
3DV
48
0
0
31 Aug 2021
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for
  Convolutional Neural Networks
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
Jingfei Chang
Yang Lu
Ping Xue
Yiqun Xu
Zhen Wei
58
0
0
31 Aug 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on
  Recent Advances and New Directions
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
Yang Wu
Dingheng Wang
Xiaotong Lu
Fan Yang
Guoqi Li
W. Dong
Jianbo Shi
104
18
0
30 Aug 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
79
92
0
30 Aug 2021
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in
  Deep Neural Networks
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Haekyu Park
Nilaksh Das
Rahul Duggal
Austin P. Wright
Omar Shaikh
Fred Hohman
Duen Horng Chau
HAI
74
25
0
29 Aug 2021
Compact representations of convolutional neural networks via weight
  pruning and quantization
Compact representations of convolutional neural networks via weight pruning and quantization
Giosuè Cataldo Marinò
A. Petrini
D. Malchiodi
Marco Frasca
MQ
23
4
0
28 Aug 2021
Layer-wise Model Pruning based on Mutual Information
Layer-wise Model Pruning based on Mutual Information
Chun Fan
Jiwei Li
Xiang Ao
Leilei Gan
Yuxian Meng
Xiaofei Sun
84
19
0
28 Aug 2021
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile
  Devices based on Fine-Grained Structured Weight Sparsity
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity
Wei Niu
Zhengang
Xiaolong Ma
Zhaoyang Han
Gang Zhou
Xuehai Qian
Xue Lin
Yanzhi Wang
Bin Ren
43
19
0
25 Aug 2021
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture
  and Pruning Search
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
Zheng Zhan
Yifan Gong
Pu Zhao
Geng Yuan
Wei Niu
...
Malith Jayaweera
David Kaeli
Bin Ren
Xue Lin
Yanzhi Wang
SupR
69
42
0
18 Aug 2021
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
134
57
0
10 Aug 2021
Basis Scaling and Double Pruning for Efficient Inference in
  Network-Based Transfer Learning
Basis Scaling and Double Pruning for Efficient Inference in Network-Based Transfer Learning
Ken C. L. Wong
Satyananda Kashyap
Mehdi Moradi
29
2
0
06 Aug 2021
Generalizable Mixed-Precision Quantization via Attribution Rank
  Preservation
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation
Ziwei Wang
Han Xiao
Jiwen Lu
Jie Zhou
MQ
74
32
0
05 Aug 2021
Group Fisher Pruning for Practical Network Compression
Group Fisher Pruning for Practical Network Compression
Liyang Liu
Shilong Zhang
Zhanghui Kuang
Aojun Zhou
Jingliang Xue
Xinjiang Wang
Yimin Chen
Wenming Yang
Q. Liao
Wayne Zhang
95
151
0
02 Aug 2021
How much pre-training is enough to discover a good subnetwork?
How much pre-training is enough to discover a good subnetwork?
Cameron R. Wolfe
Fangshuo Liao
Qihan Wang
Junhyung Lyle Kim
Anastasios Kyrillidis
90
3
0
31 Jul 2021
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