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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 / 235 papers shown
Title
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
34
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
36
7
0
14 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
40
16
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
25
25
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
22
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
25
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
29
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
37
30
0
16 Sep 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
30
4
0
15 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
43
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
32
2
0
13 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
19
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
16
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
31
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
17
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
24
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
18
4
0
06 Jul 2022
Probing via Prompting
Probing via Prompting
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
29
13
0
04 Jul 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
69
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
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
25
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
19
1
0
13 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
109
45
0
30 May 2022
Serving and Optimizing Machine Learning Workflows on Heterogeneous
  Infrastructures
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
Yongji Wu
Matthew Lentz
Danyang Zhuo
Yao Lu
21
22
0
10 May 2022
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision
  Transformers
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
Junting Pan
Adrian Bulat
Fuwen Tan
Xiatian Zhu
L. Dudziak
Hongsheng Li
Georgios Tzimiropoulos
Brais Martínez
ViT
31
180
0
06 May 2022
Zebra: Memory Bandwidth Reduction for CNN Accelerators With Zero Block
  Regularization of Activation Maps
Zebra: Memory Bandwidth Reduction for CNN Accelerators With Zero Block Regularization of Activation Maps
Hsu-Tung Shih
Tian-Sheuan Chang
14
3
0
02 May 2022
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network
  Accelerator
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator
Miao Yu
Tingting Xiang
Venkata Pavan Kumar Miriyala
Trevor E. Carlson
15
1
0
20 Apr 2022
Searching Intrinsic Dimensions of Vision Transformers
Searching Intrinsic Dimensions of Vision Transformers
Fanghui Xue
Biao Yang
Y. Qi
Jack Xin
ViT
31
2
0
16 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy Transfer
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
22
2
0
12 Apr 2022
E^2TAD: An Energy-Efficient Tracking-based Action Detector
E^2TAD: An Energy-Efficient Tracking-based Action Detector
Xin Hu
Zhenyu Wu
Haoyuan Miao
Siqi Fan
Taiyu Long
...
Pengcheng Pi
Yi Wu
Zhou Ren
Zhangyang Wang
G. Hua
21
2
0
09 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
28
11
0
06 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate
  Prediction
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
Bencheng Yan
Pengjie Wang
Kai Zhang
Feng Li
Hongbo Deng
Jian Xu
Bo Zheng
19
20
0
30 Mar 2022
Playing Lottery Tickets in Style Transfer Models
Playing Lottery Tickets in Style Transfer Models
Meihao Kong
Jing Huo
Wenbin Li
Jing Wu
Yu-Kun Lai
Yang Gao
17
1
0
25 Mar 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization
Structured Pruning is All You Need for Pruning CNNs at Initialization
Yaohui Cai
Weizhe Hua
Hongzheng Chen
G. E. Suh
Christopher De Sa
Zhiru Zhang
CVBM
39
14
0
04 Mar 2022
Extracting Effective Subnetworks with Gumbel-Softmax
Extracting Effective Subnetworks with Gumbel-Softmax
Robin Dupont
M. Alaoui
H. Sahbi
A. Lebois
14
6
0
25 Feb 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and
  Class Labels
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
32
37
0
22 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
77
46
0
20 Feb 2022
Lightweight Jet Reconstruction and Identification as an Object Detection
  Task
Lightweight Jet Reconstruction and Identification as an Object Detection Task
Adrian Alan Pol
T. Aarrestad
E. Govorkova
Roi Halily
Anat Klempner
...
Vladimir Loncar
J. Ngadiuba
M. Pierini
Olya Sirkin
S. Summers
22
2
0
09 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning
Membership Inference Attacks and Defenses in Neural Network Pruning
Xiaoyong Yuan
Lan Zhang
AAML
16
44
0
07 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks
Robust Binary Models by Pruning Randomly-initialized Networks
Chen Liu
Ziqi Zhao
Sabine Süsstrunk
Mathieu Salzmann
TPM
AAML
MQ
19
4
0
03 Feb 2022
Signal Quality Assessment of Photoplethysmogram Signals using Quantum
  Pattern Recognition and lightweight CNN Architecture
Signal Quality Assessment of Photoplethysmogram Signals using Quantum Pattern Recognition and lightweight CNN Architecture
Tamaghno Chatterjee
Aayushman Ghosh
Sayan Sarkar
9
9
0
01 Feb 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Konstantin Ditschuneit
Johannes Otterbach
13
5
0
26 Jan 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
13
12
0
18 Jan 2022
Recursive Least Squares for Training and Pruning Convolutional Neural
  Networks
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Tianzong Yu
Chunyuan Zhang
Yuan Wang
Meng-tao Ma
Qingwei Song
22
1
0
13 Jan 2022
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
71
49
0
09 Jan 2022
An Empirical Study of Adder Neural Networks for Object Detection
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen
Chang Xu
Minjing Dong
Chunjing Xu
Yunhe Wang
82
15
0
27 Dec 2021
Network Compression via Central Filter
Network Compression via Central Filter
Y. Duan
Xiaofang Hu
Yue Zhou
Qiang Liu
Shukai Duan
3DPC
14
1
0
10 Dec 2021
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