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1506.02515
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Fast ConvNets Using Group-wise Brain Damage
8 June 2015
V. Lebedev
Victor Lempitsky
AAML
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Papers citing
"Fast ConvNets Using Group-wise Brain Damage"
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Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
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Reduced-Order Modeling of Deep Neural Networks
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15 Oct 2019
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
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Omer F. Rana
Lizhe Wang
Maciej Koutny
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Cenk Baykal
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Igor Gilitschenski
Dan Feldman
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AntMan: Sparse Low-Rank Compression to Accelerate RNN inference
Samyam Rajbhandari
H. Shrivastava
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52
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VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks
Shuang Gao
Xin Liu
Lung-Sheng Chien
William Zhang
J. Álvarez
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3DPC
63
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10 Sep 2019
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Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
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Bingbing Ni
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Haoran Deng
50
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Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
83
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Ben Mussay
Margarita Osadchy
Vladimir Braverman
Samson Zhou
Dan Feldman
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Mijung Park
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Importance Estimation for Neural Network Pruning
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Stephen Tyree
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A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Dong Wang
Lei Zhou
Xiao Bai
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Structured Pruning of Recurrent Neural Networks through Neuron Selection
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Xuanyang Zhang
Haoli Bai
Zenglin Xu
65
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Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
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Franz Pernkopf
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Taxonomy of Saliency Metrics for Channel Pruning
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Rui Wang
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OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
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Ce Ge
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CGaP: Continuous Growth and Pruning for Efficient Deep Learning
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Yu Cao
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Efficient Network Construction through Structural Plasticity
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Compressibility Loss for Neural Network Weights
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47
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Data-Driven Neuron Allocation for Scale Aggregation Networks
Yi Li
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89
26
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Yang He
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124
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Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
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Meina Kan
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72
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31 Mar 2019
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Rongrong Ji
Chenqian Yan
Baochang Zhang
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510
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22 Mar 2019
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains
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31
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Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
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114
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15 Feb 2019
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Nebojsa Jojic
Jun Huan
Thomas S. Huang
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Radial and Directional Posteriors for Bayesian Neural Networks
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Kamil Adamczewski
Mijung Park
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113
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07 Feb 2019
Really should we pruning after model be totally trained? Pruning based on a small amount of training
Li Yue
Zhao Weibin
Shang-Te Lin
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29
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Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
Shaohui Lin
Rongrong Ji
Yuchao Li
Cheng Deng
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104
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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
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Wayne Luk
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George A. Constantinides
85
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0
21 Jan 2019
Transformed
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1
Regularization for Learning Sparse Deep Neural Networks
Rongrong Ma
Jianyu Miao
Lingfeng Niu
Peng Zhang
39
6
0
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A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
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Yuan Zhang
Di Xie
Shiliang Pu
37
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86
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Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
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Liqiang Zhu
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Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
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Zhe Lin
Jianming Zhang
Alan Yuille
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Dense xUnit Networks
I. Kligvasser
T. Michaeli
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3
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Leveraging Filter Correlations for Deep Model Compression
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Vinay Kumar Verma
Piyush Rai
Vinay P. Namboodiri
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26 Nov 2018
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
101
16
0
23 Nov 2018
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