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Dynamic Channel Pruning: Feature Boosting and Suppression

Dynamic Channel Pruning: Feature Boosting and Suppression

12 October 2018
Xitong Gao
Yiren Zhao
L. Dudziak
Robert D. Mullins
Chengzhong Xu
ArXivPDFHTML

Papers citing "Dynamic Channel Pruning: Feature Boosting and Suppression"

50 / 122 papers shown
Title
Gator: Customizable Channel Pruning of Neural Networks with Gating
Gator: Customizable Channel Pruning of Neural Networks with Gating
E. Passov
E. David
N. Netanyahu
AAML
37
0
0
30 May 2022
STN: Scalable Tensorizing Networks via Structure-Aware Training and
  Adaptive Compression
STN: Scalable Tensorizing Networks via Structure-Aware Training and Adaptive Compression
Chang Nie
Haiquan Wang
Lu Zhao
9
0
0
30 May 2022
Dynamic Split Computing for Efficient Deep Edge Intelligence
Dynamic Split Computing for Efficient Deep Edge Intelligence
Arian Bakhtiarnia
Nemanja Milošević
Qi Zhang
Dragana Bajović
Alexandros Iosifidis
20
24
0
23 May 2022
Online Hybrid Lightweight Representations Learning: Its Application to
  Visual Tracking
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung
Minji Kim
Eunhyeok Park
Bohyung Han
21
3
0
23 May 2022
Fast Conditional Network Compression Using Bayesian HyperNetworks
Fast Conditional Network Compression Using Bayesian HyperNetworks
Phuoc Nguyen
T. Tran
Ky Le
Sunil R. Gupta
Santu Rana
Dang Nguyen
Trong Nguyen
S. Ryan
Svetha Venkatesh
BDL
30
6
0
13 May 2022
Shadow-Aware Dynamic Convolution for Shadow Removal
Shadow-Aware Dynamic Convolution for Shadow Removal
Yimin Xu
Mingbao Lin
Hong-Taek Yang
Rongrong Ji
Rongrong Ji
38
19
0
10 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
16
3
0
02 May 2022
Dynamic Network Adaptation at Inference
Dynamic Network Adaptation at Inference
Daniel Mendoza
Caroline Trippel
24
0
0
18 Apr 2022
Searching for Network Width with Bilaterally Coupled Network
Searching for Network Width with Bilaterally Coupled Network
Xiu Su
Shan You
Jiyang Xie
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
20
6
0
25 Mar 2022
How to Train Unstable Looped Tensor Network
How to Train Unstable Looped Tensor Network
Anh-Huy Phan
Konstantin Sobolev
Dmitry Ermilov
Igor Vorona
Nikolay Kozyrskiy
P. Tichavský
A. Cichocki
25
3
0
05 Mar 2022
EREBA: Black-box Energy Testing of Adaptive Neural Networks
EREBA: Black-box Energy Testing of Adaptive Neural Networks
Mirazul Haque
Yaswanth Yadlapalli
Wei Yang
Cong Liu
AAML
6
10
0
12 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
17
1
0
10 Feb 2022
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and
  Implementation-Level Techniques
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
JunKyu Lee
L. Mukhanov
A. S. Molahosseini
U. Minhas
Yang Hua
Jesus Martinez del Rincon
K. Dichev
Cheol-Ho Hong
Hans Vandierendonck
38
29
0
30 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu
Che-Rung Lee
20
11
0
07 Dec 2021
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
69
181
0
06 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Mengnan Shi
Chang-rui Liu
Jianbin Jiao
QiXiang Ye
29
1
0
29 Nov 2021
Dynamically pruning segformer for efficient semantic segmentation
Dynamically pruning segformer for efficient semantic segmentation
Haoli Bai
Hongda Mao
D. Nair
31
20
0
18 Nov 2021
Evolving Transferable Neural Pruning Functions
Evolving Transferable Neural Pruning Functions
Yuchen Liu
S. Kung
D. Wentzlaff
24
1
0
21 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
Hong Zhang
Nilanjan Ray
CVBM
23
37
0
15 Oct 2021
Deep Joint Source-Channel Coding for Wireless Image Transmission with
  Adaptive Rate Control
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control
Mingyu Yang
Hun-Seok Kim
33
97
0
09 Oct 2021
Partial to Whole Knowledge Distillation: Progressive Distilling
  Decomposed Knowledge Boosts Student Better
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better
Xuanyang Zhang
Xinming Zhang
Jian Sun
25
1
0
26 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
30
9
0
21 Sep 2021
Rapid Model Architecture Adaption for Meta-Learning
Rapid Model Architecture Adaption for Meta-Learning
Yiren Zhao
Xitong Gao
Ilia Shumailov
Nicolò Fusi
Robert D. Mullins
33
4
0
10 Sep 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
22
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
29
18
0
30 Aug 2021
Leveraging Transprecision Computing for Machine Vision Applications at
  the Edge
Leveraging Transprecision Computing for Machine Vision Applications at the Edge
U. Minhas
L. Mukhanov
G. Karakonstantis
Hans Vandierendonck
Roger Francis Woods
32
5
0
29 Aug 2021
Towards Structured Dynamic Sparse Pre-Training of BERT
Towards Structured Dynamic Sparse Pre-Training of BERT
A. Dietrich
Frithjof Gressmann
Douglas Orr
Ivan Chelombiev
Daniel Justus
Carlo Luschi
22
17
0
13 Aug 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression with
  Optimization Framework
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
Miao Yin
Yang Sui
Siyu Liao
Bo Yuan
18
79
0
26 Jul 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise
  Decomposition
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Lucas Liebenwein
Alaa Maalouf
O. Gal
Dan Feldman
Daniela Rus
32
46
0
23 Jul 2021
Unrealistic Feature Suppression for Generative Adversarial Networks
Unrealistic Feature Suppression for Generative Adversarial Networks
Sanghun Kim
Seungkyu Lee
GAN
11
1
0
23 Jul 2021
How to Reach Real-Time AI on Consumer Devices? Solutions for
  Programmable and Custom Architectures
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures
Stylianos I. Venieris
Ioannis Panopoulos
Ilias Leontiadis
I. Venieris
28
6
0
21 Jun 2021
Heterogeneous Federated Learning using Dynamic Model Pruning and
  Adaptive Gradient
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient
Sixing Yu
P. Nguyen
Ali Anwar
Ali Jannesari
24
12
0
13 Jun 2021
Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
Longqing Ye
ViT
17
0
0
12 Jun 2021
Locally Sparse Neural Networks for Tabular Biomedical Data
Locally Sparse Neural Networks for Tabular Biomedical Data
Junchen Yang
Ofir Lindenbaum
Y. Kluger
22
33
0
11 Jun 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and
  Directions
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
18
107
0
09 Jun 2021
Deep Neural Network-based Enhancement for Image and Video Streaming
  Systems: A Survey and Future Directions
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
Royson Lee
Stylianos I. Venieris
Nicholas D. Lane
AI4TS
57
44
0
07 Jun 2021
Multi-Exit Semantic Segmentation Networks
Multi-Exit Semantic Segmentation Networks
Alexandros Kouris
Stylianos I. Venieris
Stefanos Laskaridis
Nicholas D. Lane
20
30
0
07 Jun 2021
Patch Slimming for Efficient Vision Transformers
Patch Slimming for Efficient Vision Transformers
Yehui Tang
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chao Xu
Dacheng Tao
ViT
16
163
0
05 Jun 2021
Hyperspectral Band Selection for Multispectral Image Classification with
  Convolutional Networks
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks
Giorgio Morales
John W. Sheppard
Riley D. Logan
J. Shaw
6
11
0
01 Jun 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less
  Overhead
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
27
35
0
19 May 2021
FrameExit: Conditional Early Exiting for Efficient Video Recognition
FrameExit: Conditional Early Exiting for Efficient Video Recognition
Amir Ghodrati
B. Bejnordi
A. Habibian
37
81
0
27 Apr 2021
Skip-Convolutions for Efficient Video Processing
Skip-Convolutions for Efficient Video Processing
A. Habibian
Davide Abati
Taco S. Cohen
B. Bejnordi
54
50
0
23 Apr 2021
Dynamic Slimmable Network
Dynamic Slimmable Network
Changlin Li
Guangrun Wang
Bing Wang
Xiaodan Liang
Zhihui Li
Xiaojun Chang
29
143
0
24 Mar 2021
Manifold Regularized Dynamic Network Pruning
Manifold Regularized Dynamic Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Yiping Deng
Chao Xu
Dacheng Tao
Chang Xu
30
91
0
10 Mar 2021
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action
  Recognition
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
Yue Meng
Rameswar Panda
Chung-Ching Lin
P. Sattigeri
Leonid Karlinsky
Kate Saenko
A. Oliva
Rogerio Feris
68
62
0
10 Feb 2021
Locally Free Weight Sharing for Network Width Search
Locally Free Weight Sharing for Network Width Search
Xiu Su
Shan You
Tao Huang
Fei-Yue Wang
Chao Qian
Changshui Zhang
Chang Xu
22
40
0
10 Feb 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
18
621
0
09 Feb 2021
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model
  Compression for Mobile Applications
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
Sicong Liu
Bin Guo
Ke Ma
Zhiwen Yu
Junzhao Du
25
9
0
28 Jan 2021
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
135
674
0
24 Jan 2021
ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence
  Optimization for CNN
ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN
Jingfei Chang
Yang Lu
Ping Xue
Yiqun Xu
Zhen Wei
31
38
0
16 Jan 2021
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