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Fast ConvNets Using Group-wise Brain Damage
v1v2 (latest)

Fast ConvNets Using Group-wise Brain Damage

8 June 2015
V. Lebedev
Victor Lempitsky
    AAML
ArXiv (abs)PDFHTML

Papers citing "Fast ConvNets Using Group-wise Brain Damage"

50 / 211 papers shown
Title
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with
  Pattern-based Weight Pruning
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning
Wei Niu
Xiaolong Ma
Sheng Lin
Shihao Wang
Xuehai Qian
Xinyu Lin
Yanzhi Wang
Bin Ren
MQ
104
229
0
01 Jan 2020
Computationally Efficient Neural Image Compression
Computationally Efficient Neural Image Compression
Nick Johnston
Elad Eban
A. Gordon
Johannes Ballé
74
55
0
18 Dec 2019
An Improving Framework of regularization for Network Compression
An Improving Framework of regularization for Network Compression
E. Zhenqian
Weiguo Gao
AI4CE
36
0
0
11 Dec 2019
Magnitude and Uncertainty Pruning Criterion for Neural Networks
Magnitude and Uncertainty Pruning Criterion for Neural Networks
V. Ko
Stefan Oehmcke
Fabian Gieseke
20
3
0
10 Dec 2019
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
124
144
0
02 Nov 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in
  Efficient Convolutional Neural Networks
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He
Jianing Qian
Jianren Wang
Cindy X. Le
Congrui Hetang
Qi Lyu
Wenping Wang
Tianwei Yue
99
11
0
21 Oct 2019
Reduced-Order Modeling of Deep Neural Networks
Reduced-Order Modeling of Deep Neural Networks
Julia Gusak
Talgat Daulbaev
E. Ponomarev
A. Cichocki
Ivan Oseledets
BDLAI4CE
51
8
0
15 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT
  Applications: A Taxonomy and Survey
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
Bin Qian
Jie Su
Z. Wen
D. N. Jha
Yinhao Li
...
Albert Y. Zomaya
Omer F. Rana
Lizhe Wang
Maciej Koutny
R. Ranjan
71
4
0
11 Oct 2019
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural
  Networks
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks
Cenk Baykal
Lucas Liebenwein
Igor Gilitschenski
Dan Feldman
Daniela Rus
92
18
0
11 Oct 2019
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference
Samyam Rajbhandari
H. Shrivastava
J. Rho
MQ
52
8
0
02 Oct 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep
  Residual Networks
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks
Shuang Gao
Xin Liu
Lung-Sheng Chien
William Zhang
J. Álvarez
VLM3DPC
63
15
0
10 Sep 2019
Implicit Deep Learning
Implicit Deep Learning
L. Ghaoui
Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
AI4CE
64
182
0
17 Aug 2019
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural
  Networks
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks
Yunxiang Zhang
Chenglong Zhao
Bingbing Ni
Jian Zhang
Haoran Deng
50
2
0
06 Aug 2019
Accelerating CNN Training by Pruning Activation Gradients
Accelerating CNN Training by Pruning Activation Gradients
Xucheng Ye
Pengcheng Dai
Junyu Luo
Xin Guo
Weisheng Zhao
Jianlei Yang
Yiran Chen
23
2
0
01 Aug 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
83
11
0
13 Jul 2019
Data-Independent Neural Pruning via Coresets
Data-Independent Neural Pruning via Coresets
Ben Mussay
Margarita Osadchy
Vladimir Braverman
Samson Zhou
Dan Feldman
90
60
0
09 Jul 2019
Neuron ranking -- an informed way to condense convolutional neural
  networks architecture
Neuron ranking -- an informed way to condense convolutional neural networks architecture
Kamil Adamczewski
Mijung Park
FAtt
25
2
0
03 Jul 2019
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
93
887
0
25 Jun 2019
A One-step Pruning-recovery Framework for Acceleration of Convolutional
  Neural Networks
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Dong Wang
Lei Zhou
Xiao Bai
Jun Zhou
23
2
0
18 Jun 2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Liangjiang Wen
Xuanyang Zhang
Haoli Bai
Zenglin Xu
65
38
0
17 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
51
6
0
12 Jun 2019
Taxonomy of Saliency Metrics for Channel Pruning
Taxonomy of Saliency Metrics for Channel Pruning
Kaveena Persand
Andrew Anderson
David Gregg
50
7
0
11 Jun 2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
W. Wen
Feng Yan
Yiran Chen
H. Li
81
40
0
07 Jun 2019
NodeDrop: A Condition for Reducing Network Size without Effect on Output
NodeDrop: A Condition for Reducing Network Size without Effect on Output
Louis Jensen
Jacob A. Harer
S. Chin
25
0
0
03 Jun 2019
CompactNet: Platform-Aware Automatic Optimization for Convolutional
  Neural Networks
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks
Weicheng Li
Rui Wang
Zhongzhi Luan
Di Huang
Zidong Du
Yunji Chen
D. Qian
24
1
0
28 May 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
  Networks
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li
Q. Qi
Jingyu Wang
Ce Ge
Yujian Betterest Li
Zhangzhang Yue
Haifeng Sun
BDLCML
101
53
0
28 May 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
Xiaocong Du
Zheng Li
Yu Cao
VLM
72
10
0
27 May 2019
Efficient Network Construction through Structural Plasticity
Efficient Network Construction through Structural Plasticity
Xiaocong Du
Zheng Li
Yufei Ma
Yu Cao
19
12
0
27 May 2019
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded
  Systems
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems
Sangkyun Lee
Jeonghyun Lee
20
5
0
20 May 2019
Compressibility Loss for Neural Network Weights
Compressibility Loss for Neural Network Weights
Çağlar Aytekin
Francesco Cricri
Emre B. Aksu
47
11
0
03 May 2019
Data-Driven Neuron Allocation for Scale Aggregation Networks
Data-Driven Neuron Allocation for Scale Aggregation Networks
Yi Li
Zhanghui Kuang
Yimin Chen
Wayne Zhang
89
26
0
20 Apr 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Yang He
Ping Liu
Linchao Zhu
Yi Yang
VLM
73
46
0
08 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share
Branched Multi-Task Networks: Deciding What Layers To Share
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
124
145
0
05 Apr 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural
  Networks
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
Xijun Wang
Meina Kan
Shiguang Shan
Xilin Chen
72
71
0
31 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial
  Learning
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Shaohui Lin
Rongrong Ji
Chenqian Yan
Baochang Zhang
Liujuan Cao
QiXiang Ye
Feiyue Huang
David Doermann
CVBM
58
510
0
22 Mar 2019
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd
  Domains
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
31
6
0
21 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by
  Dynamic Sparse Reparameterization
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Hesham Mostafa
Xin Wang
114
315
0
15 Feb 2019
FSNet: Compression of Deep Convolutional Neural Networks by Filter
  Summary
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang
Jiahui Yu
Nebojsa Jojic
Jun Huan
Thomas S. Huang
55
17
0
08 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks
Radial and Directional Posteriors for Bayesian Neural Networks
Changyong Oh
Kamil Adamczewski
Mijung Park
BDL
113
20
0
07 Feb 2019
Really should we pruning after model be totally trained? Pruning based
  on a small amount of training
Really should we pruning after model be totally trained? Pruning based on a small amount of training
Li Yue
Zhao Weibin
Shang-Te Lin
VLM
29
5
0
24 Jan 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter
  Pruning
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
Shaohui Lin
Rongrong Ji
Yuchao Li
Cheng Deng
Xuelong Li
104
69
0
23 Jan 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been,
  Where We're Going
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Erwei Wang
James J. Davis
Ruizhe Zhao
Ho-Cheung Ng
Xinyu Niu
Wayne Luk
P. Cheung
George A. Constantinides
85
59
0
21 Jan 2019
Transformed $\ell_1$ Regularization for Learning Sparse Deep Neural
  Networks
Transformed ℓ1\ell_1ℓ1​ Regularization for Learning Sparse Deep Neural Networks
Rongrong Ma
Jianyu Miao
Lingfeng Niu
Peng Zhang
39
6
0
04 Jan 2019
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards
  Accurate Lightweight Networks
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen
Yuan Zhang
Di Xie
Shiliang Pu
37
13
0
17 Dec 2018
Accelerating Convolutional Neural Networks via Activation Map
  Compression
Accelerating Convolutional Neural Networks via Activation Map Compression
Georgios Georgiadis
86
76
0
10 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural
  Network Compression
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Wei Wang
Liqiang Zhu
CVBM
56
13
0
10 Dec 2018
Neural Rejuvenation: Improving Deep Network Training by Enhancing
  Computational Resource Utilization
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
Siyuan Qiao
Zhe Lin
Jianming Zhang
Alan Yuille
63
23
0
02 Dec 2018
Dense xUnit Networks
Dense xUnit Networks
I. Kligvasser
T. Michaeli
92
3
0
27 Nov 2018
Leveraging Filter Correlations for Deep Model Compression
Leveraging Filter Correlations for Deep Model Compression
Pravendra Singh
Vinay Kumar Verma
Piyush Rai
Vinay P. Namboodiri
88
65
0
26 Nov 2018
Efficient Structured Pruning and Architecture Searching for Group
  Convolution
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
101
16
0
23 Nov 2018
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