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Learning Efficient Convolutional Networks through Network Slimming

Learning Efficient Convolutional Networks through Network Slimming

22 August 2017
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
ArXivPDFHTML

Papers citing "Learning Efficient Convolutional Networks through Network Slimming"

50 / 327 papers shown
Title
A Unified Framework for Soft Threshold Pruning
A Unified Framework for Soft Threshold Pruning
Yanqing Chen
Zhengyu Ma
Wei Fang
Xiawu Zheng
Zhaofei Yu
Yonghong Tian
85
19
0
25 Feb 2023
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural
  Architectures for Non-ideal Xbars
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
23
1
0
15 Feb 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
EVC: Towards Real-Time Neural Image Compression with Mask Decay
G. Wang
Jiahao Li
Bin Li
Yan Lu
22
66
0
10 Feb 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained
  Classifiers
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
46
36
0
27 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu
Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
17
1
0
26 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
37
20
0
12 Jan 2023
Training Lightweight Graph Convolutional Networks with Phase-field
  Models
Training Lightweight Graph Convolutional Networks with Phase-field Models
H. Sahbi
32
0
0
19 Dec 2022
Efficient Stein Variational Inference for Reliable Distribution-lossless
  Network Pruning
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Yingchun Wang
Song Guo
Jingcai Guo
Weizhan Zhang
Yi Tian Xu
Jiewei Zhang
Yi Liu
21
17
0
07 Dec 2022
Hint-dynamic Knowledge Distillation
Hint-dynamic Knowledge Distillation
Yiyang Liu
Chenxin Li
Xiaotong Tu
Xinghao Ding
Yue Huang
14
1
0
30 Nov 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for
  Image Classification
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Suorong Yang
Jinqiao Li
Jian Zhao
S. Furao
AAML
33
6
0
29 Nov 2022
Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by
  Knowledge Distillation
Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation
Yuqi Li
Yuting He
Yihang Zhou
Zirui Gong
Ren-Jun Huang
21
0
0
16 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
35
1
0
14 Nov 2022
Partial Binarization of Neural Networks for Budget-Aware Efficient
  Learning
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Udbhav Bamba
Neeraj Anand
Saksham Aggarwal
Dilip K Prasad
D. K. Gupta
MQ
26
0
0
12 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics
  in Industrial Metaverse
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
Shenglai Zeng
Zonghang Li
Hongfang Yu
Zhihao Zhang
Long Luo
Bo-wen Li
Dusit Niyato
44
42
0
07 Nov 2022
DAD vision: opto-electronic co-designed computer vision with division
  adjoint method
DAD vision: opto-electronic co-designed computer vision with division adjoint method
Zihan Zang
Hao Wang
Yunpeng Xu
27
0
0
04 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
40
45
0
03 Nov 2022
Neural Network Compression by Joint Sparsity Promotion and Redundancy
  Reduction
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction
T. M. Khan
Syed S. Naqvi
A. Robles-Kelly
Erik H. W. Meijering
46
7
0
14 Oct 2022
Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing
Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing
Qian Liu
Tao Han
Jiang Xie
Xie
Baek-Hyeon Kim
31
10
0
10 Oct 2022
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
51
68
0
08 Oct 2022
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Min-Zhi Ji
Saehanseul Yi
Chang-Mo Koo
Sol Ahn
Dongjoo Seo
N. Dutt
Jong-Chan Kim
42
17
0
08 Oct 2022
Expediting Large-Scale Vision Transformer for Dense Prediction without
  Fine-tuning
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Weicong Liang
Yuhui Yuan
Henghui Ding
Xiao Luo
Weihong Lin
Ding Jia
Zheng-Wei Zhang
Chao Zhang
Hanhua Hu
40
26
0
03 Oct 2022
Slimmable Networks for Contrastive Self-supervised Learning
Slimmable Networks for Contrastive Self-supervised Learning
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yi Yang
40
1
0
30 Sep 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset
  Distillation for Medical Data Sharing
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
32
40
0
29 Sep 2022
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals
Shihong Fang
Haoran Zhu
Devansh Bisla
A. Choromańska
Satish Ravindran
D. Ren
Ryan Wu
42
5
0
26 Sep 2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for
  Source-Relaxed Medical Image Segmentation
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Xiaofeng Liu
Fangxu Xing
G. El Fakhri
Jonghye Woo
OOD
41
30
0
16 Sep 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
38
4
0
15 Sep 2022
Recurrent Bilinear Optimization for Binary Neural Networks
Recurrent Bilinear Optimization for Binary Neural Networks
Sheng Xu
Yanjing Li
Tian Wang
Teli Ma
Baochang Zhang
Peng Gao
Yu Qiao
Jinhu Lv
Guodong Guo
MQ
17
14
0
04 Sep 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
48
3
0
22 Aug 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yihe Lu
Ziyu Guan
Yaming Yang
Maoguo Gong
Wei Zhao
Kaiyuan Feng
38
2
0
13 Aug 2022
Safety and Performance, Why not Both? Bi-Objective Optimized Model
  Compression toward AI Software Deployment
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment
Jie Zhu
Leye Wang
Xiao Han
33
9
0
11 Aug 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural
  Network On Image Classification
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Yihe Lu
Maoguo Gong
Wei Zhao
Kaiyuan Feng
Hao Li
VLM
29
0
0
09 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
26
56
0
01 Aug 2022
Fault Detection and Classification of Aerospace Sensors using a
  VGG16-based Deep Neural Network
Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network
Zhongzhi Li
Yunmei Zhao
Jinyi Ma
J. Ai
Yiqun Dong
18
2
0
27 Jul 2022
Low-complexity CNNs for Acoustic Scene Classification
Low-complexity CNNs for Acoustic Scene Classification
Arshdeep Singh
Mark D. Plumbley
28
4
0
23 Jul 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute
  Classification
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
39
38
0
22 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
23
2
0
14 Jul 2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning
DropNet: Reducing Neural Network Complexity via Iterative Pruning
Chong Min John Tan
Mehul Motani
32
52
0
14 Jul 2022
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Long Zhuo
Guangcong Wang
Shikai Li
Wayne Wu
Ziwei Liu
VGen
53
20
0
11 Jul 2022
Network Pruning via Feature Shift Minimization
Network Pruning via Feature Shift Minimization
Y. Duan
Yue Zhou
Peng He
Qiang Liu
Shukai Duan
Xiaofang Hu
26
4
0
06 Jul 2022
Probing via Prompting
Probing via Prompting
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
37
13
0
04 Jul 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
John Rachwan
Daniel Zügner
Bertrand Charpentier
Simon Geisler
Morgane Ayle
Stephan Günnemann
27
24
0
21 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zhengqi He
Zeke Xie
Quanzhi Zhu
Zengchang Qin
81
27
0
17 Jun 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
22
1
0
16 Jun 2022
Can pruning improve certified robustness of neural networks?
Can pruning improve certified robustness of neural networks?
Zhangheng Li
Tianlong Chen
Linyi Li
Bo-wen Li
Zhangyang Wang
AAML
16
12
0
15 Jun 2022
Energy Consumption Analysis of pruned Semantic Segmentation Networks on
  an Embedded GPU
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
GNN
SSeg
3DPC
35
2
0
13 Jun 2022
Leveraging Structured Pruning of Convolutional Neural Networks
Leveraging Structured Pruning of Convolutional Neural Networks
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
CVBM
21
1
0
13 Jun 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision
SDQ: Stochastic Differentiable Quantization with Mixed Precision
Xijie Huang
Zhiqiang Shen
Shichao Li
Zechun Liu
Xianghong Hu
Jeffry Wicaksana
Eric P. Xing
Kwang-Ting Cheng
MQ
27
33
0
09 Jun 2022
Towards Efficient 3D Object Detection with Knowledge Distillation
Towards Efficient 3D Object Detection with Knowledge Distillation
Jihan Yang
Shaoshuai Shi
Runyu Ding
Zhe Wang
Xiaojuan Qi
117
46
0
30 May 2022
Super Vision Transformer
Super Vision Transformer
Mingbao Lin
Yonghong Tian
Yuxin Zhang
Yunhang Shen
Rongrong Ji
Liujuan Cao
ViT
46
20
0
23 May 2022
Perturbation of Deep Autoencoder Weights for Model Compression and
  Classification of Tabular Data
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data
Manar D. Samad
Sakib Abrar
25
12
0
17 May 2022
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