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Pruning Filters for Efficient ConvNets
v1v2v3 (latest)

Pruning Filters for Efficient ConvNets

31 August 2016
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,596 papers shown
Title
Path homologies of deep feedforward networks
Path homologies of deep feedforward networks
Samir Chowdhury
Thomas Gebhart
Steve Huntsman
Matvey Yutin
55
23
0
16 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on
  Smart Phone
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
Tianchu Guo
Yongchao Liu
Hui Zhang
Xiabing Liu
Youngjun Kwak
ByungIn Yoo
Jae-Joon Han
Changkyu Choi
65
38
0
16 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
Automatic Neural Network Compression by Sparsity-Quantization Joint
  Learning: A Constrained Optimization-based Approach
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach
Haichuan Yang
Shupeng Gui
Yuhao Zhu
Ji Liu
MQ
71
5
0
14 Oct 2019
Model Fusion via Optimal Transport
Model Fusion via Optimal Transport
Sidak Pal Singh
Martin Jaggi
MoMeFedML
183
241
0
12 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network
  Inference Using Approximate DRAM
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
Skanda Koppula
Lois Orosa
A. G. Yaglikçi
Roknoddin Azizi
Taha Shahroodi
Konstantinos Kanellopoulos
O. Mutlu
80
108
0
12 Oct 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting
  Steepest Descent
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
Dilin Wang
Meng Li
Lemeng Wu
Vikas Chandra
Qiang Liu
111
21
0
07 Oct 2019
Splitting Steepest Descent for Growing Neural Architectures
Splitting Steepest Descent for Growing Neural Architectures
Qiang Liu
Lemeng Wu
Dilin Wang
111
63
0
06 Oct 2019
How does topology influence gradient propagation and model performance
  of deep networks with DenseNet-type skip connections?
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections?
Kartikeya Bhardwaj
Guihong Li
R. Marculescu
58
1
0
02 Oct 2019
Learning Efficient Convolutional Networks through Irregular
  Convolutional Kernels
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels
Weiyu Guo
Jiabin Ma
Liang Wang
Yongzhen Huang
21
5
0
29 Sep 2019
Training convolutional neural networks with cheap convolutions and
  online distillation
Training convolutional neural networks with cheap convolutions and online distillation
Jiao Xie
Shaohui Lin
Yichen Zhang
Linkai Luo
63
12
0
28 Sep 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and
  Resolution
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
Taojiannan Yang
Sijie Zhu
Chong Chen
Shen Yan
Mi Zhang
Andrew Willis
OOD
79
75
0
27 Sep 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding
Guiguang Ding
Xiangxin Zhou
Yuchen Guo
Jungong Han
Ji Liu
93
165
0
27 Sep 2019
Pruning from Scratch
Pruning from Scratch
Yulong Wang
Xiaolu Zhang
Lingxi Xie
Jun Zhou
Hang Su
Bo Zhang
Xiaolin Hu
77
196
0
27 Sep 2019
Extremely Small BERT Models from Mixed-Vocabulary Training
Extremely Small BERT Models from Mixed-Vocabulary Training
Sanqiang Zhao
Raghav Gupta
Yang Song
Denny Zhou
VLM
66
53
0
25 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
130
597
0
25 Sep 2019
CAT: Compression-Aware Training for bandwidth reduction
CAT: Compression-Aware Training for bandwidth reduction
Chaim Baskin
Brian Chmiel
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
67
12
0
25 Sep 2019
FALCON: Lightweight and Accurate Convolution
FALCON: Lightweight and Accurate Convolution
Jun-Gi Jang
Chun Quan
Hyun Dong Lee
U. Kang
13
1
0
25 Sep 2019
Class-dependent Compression of Deep Neural Networks
Class-dependent Compression of Deep Neural Networks
R. Entezari
O. Saukh
76
7
0
23 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep
  Convolutional Neural Networks
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
93
252
0
18 Sep 2019
Ensemble Knowledge Distillation for Learning Improved and Efficient
  Networks
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks
Umar Asif
Jianbin Tang
S. Harrer
FedML
88
76
0
17 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks
Differentiable Mask for Pruning Convolutional and Recurrent Networks
R. Ramakrishnan
Eyyub Sari
V. Nia
VLM
82
15
0
10 Sep 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
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
48
12
0
09 Sep 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for
  Real-time Execution on Mobile Devices
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma
Fu-Ming Guo
Wei Niu
Xue Lin
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
CVBM
95
180
0
06 Sep 2019
Auxiliary Learning for Deep Multi-task Learning
Auxiliary Learning for Deep Multi-task Learning
Yifan Liu
Bohan Zhuang
Chunhua Shen
Hao Chen
Wei Yin
MoE
54
10
0
05 Sep 2019
Knowledge Distillation for End-to-End Person Search
Knowledge Distillation for End-to-End Person Search
Bharti Munjal
Fabio Galasso
S. Amin
FedML
117
17
0
03 Sep 2019
PSDNet and DPDNet: Efficient channel expansion,
  Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
Guoqing Li
Meng Zhang
Qianru Zhang
Ziyang Chen
Wenzhao Liu
Jiaojie Li
Xuzhao Shen
Jian Li
Zhenyu Zhu
Chau Yuen
71
5
0
03 Sep 2019
Defeating Misclassification Attacks Against Transfer Learning
Defeating Misclassification Attacks Against Transfer Learning
Bang Wu
Shuo Wang
Lizhen Qu
Cong Wang
Carsten Rudolph
Xiangwen Yang
AAML
75
6
0
29 Aug 2019
Image Captioning with Sparse Recurrent Neural Network
Image Captioning with Sparse Recurrent Neural Network
J. Tan
Chee Seng Chan
Joon Huang Chuah
VLM
47
6
0
28 Aug 2019
Convolutional Recurrent Neural Network Based Progressive Learning for
  Monaural Speech Enhancement
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement
Andong Li
Minmin Yuan
C. Zheng
Xiaodong Li
35
8
0
28 Aug 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable
  Scale-Invariant Sparsity Measures
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
Huanrui Yang
W. Wen
H. Li
92
98
0
27 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models
Adaptative Inference Cost With Convolutional Neural Mixture Models
Adria Ruiz
Jakob Verbeek
VLM
65
22
0
19 Aug 2019
Bayesian Optimized 1-Bit CNNs
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu
Junhe Zhao
Xiaolong Jiang
Baochang Zhang
Jianzhuang Liu
G. Guo
Rongrong Ji
BDLMQ
55
56
0
17 Aug 2019
Improved Techniques for Training Adaptive Deep Networks
Improved Techniques for Training Adaptive Deep Networks
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
76
134
0
17 Aug 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition
Deep Sparse Band Selection for Hyperspectral Face Recognition
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
CVBM
54
11
0
15 Aug 2019
Neural Plasticity Networks
Neural Plasticity Networks
Yongqian Li
Shihao Ji
30
1
0
13 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via
  Asymmetric Convolution Blocks
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding
Yuchen Guo
Guiguang Ding
Jiawei Han
92
678
0
11 Aug 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
Duo Li
Aojun Zhou
Anbang Yao
52
39
0
11 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
99
46
0
10 Aug 2019
Group Pruning using a Bounded-Lp norm for Group Gating and
  Regularization
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
Chaithanya Kumar Mummadi
Tim Genewein
Dan Zhang
Thomas Brox
Volker Fischer
53
3
0
09 Aug 2019
Efficient Inference of CNNs via Channel Pruning
Efficient Inference of CNNs via Channel Pruning
Boyu Zhang
A. Davoodi
Y. Hu
CVBM
23
6
0
08 Aug 2019
Architecture-aware Network Pruning for Vision Quality Applications
Architecture-aware Network Pruning for Vision Quality Applications
Wei-Ting Wang
Han Li
Wei-Shiang Lin
Cheng-Ming Chiang
Yi-Min Tsai
46
2
0
05 Aug 2019
Memory- and Communication-Aware Model Compression for Distributed Deep
  Learning Inference on IoT
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT
Kartikeya Bhardwaj
Chingyi Lin
A. L. Sartor
R. Marculescu
GNN
63
54
0
26 Jul 2019
Real-Time Correlation Tracking via Joint Model Compression and Transfer
Real-Time Correlation Tracking via Joint Model Compression and Transfer
Ning Wang
Wen-gang Zhou
Yibing Song
Chao Ma
Houqiang Li
VOT
65
42
0
23 Jul 2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching
Highlight Every Step: Knowledge Distillation via Collaborative Teaching
Haoran Zhao
Xin Sun
Junyu Dong
Changrui Chen
Zihe Dong
80
59
0
23 Jul 2019
MemNet: Memory-Efficiency Guided Neural Architecture Search with
  Augment-Trim learning
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
Peiye Liu
Bo Wu
Huadong Ma
Mingoo Seok
71
6
0
22 Jul 2019
Light Multi-segment Activation for Model Compression
Light Multi-segment Activation for Model Compression
Zhenhui Xu
Guolin Ke
Jia Zhang
Jiang Bian
Tie-Yan Liu
28
2
0
16 Jul 2019
An Inter-Layer Weight Prediction and Quantization for Deep Neural
  Networks based on a Smoothly Varying Weight Hypothesis
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
Kang-Ho Lee
Joonhyun Jeong
Sung-Ho Bae
59
4
0
16 Jul 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
85
11
0
13 Jul 2019
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