ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1608.04493
  4. Cited By
Dynamic Network Surgery for Efficient DNNs
v1v2 (latest)

Dynamic Network Surgery for Efficient DNNs

16 August 2016
Yiwen Guo
Anbang Yao
Yurong Chen
ArXiv (abs)PDFHTMLGithub (186★)

Papers citing "Dynamic Network Surgery for Efficient DNNs"

50 / 359 papers shown
Title
Network Recasting: A Universal Method for Network Architecture
  Transformation
Network Recasting: A Universal Method for Network Architecture Transformation
Joonsang Yu
Sungbum Kang
Kiyoung Choi
61
1
0
14 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable
  Regularization
Learning Sparse Low-Precision Neural Networks With Learnable Regularization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
134
31
0
01 Sep 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
Yanwei Fu
C. Yan
Yi Yang
175
136
0
22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAMLVLM
199
1,005
0
21 Aug 2018
Coreset-Based Neural Network Compression
Coreset-Based Neural Network Compression
Abhimanyu Dubey
Moitreya Chatterjee
Narendra Ahuja
93
83
0
25 Jul 2018
A novel channel pruning method for deep neural network compression
A novel channel pruning method for deep neural network compression
Yiming Hu
Siyang Sun
Jianquan Li
Xingang Wang
Qingyi Gu
107
68
0
29 May 2018
Multi-Task Zipping via Layer-wise Neuron Sharing
Multi-Task Zipping via Layer-wise Neuron Sharing
Xiaoxi He
Zimu Zhou
Lothar Thiele
MoMe
146
64
0
24 May 2018
Compression of Deep Convolutional Neural Networks under Joint Sparsity
  Constraints
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
76
6
0
21 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei
Xinyu Pan
Hongwei Qin
Wanli Ouyang
Junjie Yan
ObjD
198
92
0
06 May 2018
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
Feiwen Zhu
Jeff Pool
M. Andersch
J. Appleyard
Fung Xie
75
30
0
26 Apr 2018
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian
  Compression Approach
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach
Wenda Zhou
Victor Veitch
Morgane Austern
Ryan P. Adams
Peter Orbanz
183
220
0
16 Apr 2018
Select, Attend, and Transfer: Light, Learnable Skip Connections
Select, Attend, and Transfer: Light, Learnable Skip Connections
Saeid Asgari Taghanaki
A. Bentaieb
Anmol Sharma
S. Kevin Zhou
Yefeng Zheng
...
Puneet Sharma
Sasa Grbic
Zhoubing Xu
Dorin Comaniciu
Ghassan Hamarneh
111
21
0
14 Apr 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction
  Method of Multipliers
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Jian Tang
Wujie Wen
M. Fardad
Yanzhi Wang
167
446
0
10 Apr 2018
Distribution-Aware Binarization of Neural Networks for Sketch
  Recognition
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Ameya Prabhu
Vishal Batchu
Sri Aurobindo Munagala
Rohit Gajawada
A. Namboodiri
MQ
141
5
0
09 Apr 2018
Task dependent Deep LDA pruning of neural networks
Task dependent Deep LDA pruning of neural networks
Qing Tian
Tal Arbel
James J. Clark
97
0
0
21 Mar 2018
Local Binary Pattern Networks
Local Binary Pattern Networks
Jeng-Hau Lin
Yunfan Yang
Rajesh K. Gupta
Zhuowen Tu
MQ
78
14
0
19 Mar 2018
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional
  Neural Networks: Which, Why, and How
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How
A. Delmas
Patrick Judd
Dylan Malone Stuart
Zissis Poulos
Mostafa Mahmoud
Sayeh Sharify
Milos Nikolic
Andreas Moshovos
86
24
0
09 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
631
3,677
0
09 Mar 2018
Deep Neural Network Compression with Single and Multiple Level
  Quantization
Deep Neural Network Compression with Single and Multiple Level Quantization
Yuhui Xu
Yongzhuang Wang
Aojun Zhou
Weiyao Lin
H. Xiong
MQ
89
117
0
06 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
169
186
0
28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos
Recurrent Residual Module for Fast Inference in Videos
Bowen Pan
Wuwei Lin
Xiaolin Fang
Chaoqin Huang
Bolei Zhou
Cewu Lu
ObjD
114
35
0
27 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness
Deep Defense: Training DNNs with Improved Adversarial Robustness
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
163
112
0
23 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on
  Large In-Memory Datasets
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets
Fabian Schuiki
Michael Schaffner
Frank K. Gürkaynak
Luca Benini
165
70
0
19 Feb 2018
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
165
88
0
07 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural
  Networks
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks
Jian Cheng
Peisong Wang
Gang Li
Qinghao Hu
Hanqing Lu
80
3
0
03 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks
Learning to Prune Filters in Convolutional Neural Networks
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
VLM
123
179
0
23 Jan 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to
  Mask Weights
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Arun Mallya
Dillon Davis
Svetlana Lazebnik
CLL
136
35
0
19 Jan 2018
StressedNets: Efficient Feature Representations via Stress-induced
  Evolutionary Synthesis of Deep Neural Networks
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks
M. Shafiee
Brendan Chwyl
Francis Li
Rongyan Chen
Michelle Karg
C. Scharfenberger
A. Wong
44
7
0
16 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
962
20,471
0
13 Jan 2018
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
180
74
0
23 Nov 2017
Weightless: Lossy Weight Encoding For Deep Neural Network Compression
Weightless: Lossy Weight Encoding For Deep Neural Network Compression
Brandon Reagen
Udit Gupta
Bob Adolf
Michael Mitzenmacher
Alexander M. Rush
Gu-Yeon Wei
David Brooks
83
40
0
13 Nov 2017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
118
242
0
06 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
179
243
0
01 Nov 2017
Improving Efficiency in Convolutional Neural Network with Multilinear
  Filters
Improving Efficiency in Convolutional Neural Network with Multilinear Filters
D. Tran
Alexandros Iosifidis
Moncef Gabbouj
140
42
0
28 Sep 2017
Connectivity Learning in Multi-Branch Networks
Connectivity Learning in Multi-Branch Networks
Karim Ahmed
Lorenzo Torresani
111
27
0
27 Sep 2017
N2N Learning: Network to Network Compression via Policy Gradient
  Reinforcement Learning
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
A. Ashok
Nicholas Rhinehart
Fares N. Beainy
Kris Kitani
152
171
0
18 Sep 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Learning Intrinsic Sparse Structures within Long Short-Term Memory
W. Wen
Yuxiong He
Samyam Rajbhandari
Minjia Zhang
Wenhan Wang
Fang Liu
Bin Hu
Yiran Chen
Xue Yang
MQ
252
142
0
15 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
168
218
0
25 Aug 2017
Modular Learning Component Attacks: Today's Reality, Tomorrow's
  Challenge
Modular Learning Component Attacks: Today's Reality, Tomorrow's Challenge
Xinyang Zhang
Yujie Ji
Ting Wang
AAML
63
2
0
25 Aug 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional
  Network with Bayesian Optimization
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization
Frederick Tung
S. Muralidharan
Greg Mori
117
36
0
28 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
548
2,582
0
19 Jul 2017
Ternary Residual Networks
Ternary Residual Networks
Abhisek Kundu
K. Banerjee
Naveen Mellempudi
Dheevatsa Mudigere
Dipankar Das
Bharat Kaul
Pradeep Dubey
87
8
0
15 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
223
575
0
05 Jul 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
Network Sketching: Exploiting Binary Structure in Deep CNNs
Yiwen Guo
Anbang Yao
Hao Zhao
Yurong Chen
MQ
128
96
0
07 Jun 2017
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems
  with a Compressor-Critic Framework
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
Shuochao Yao
Yiran Zhao
Aston Zhang
Lu Su
Tarek Abdelzaher
136
191
0
05 Jun 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural
  Networks
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao
Song Han
Jeff Pool
Wenshuo Li
Xingyu Liu
Yu Wang
W. Dally
202
249
0
24 May 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCVBDL
327
487
0
24 May 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain
  Surgeon
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Luna Dong
Shangyu Chen
Sinno Jialin Pan
274
523
0
22 May 2017
Design of a Very Compact CNN Classifier for Online Handwritten Chinese
  Character Recognition Using DropWeight and Global Pooling
Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling
Xuefeng Xiao
Yafeng Yang
Tasweer Ahmad
Lianwen Jin
Tianhai Chang
127
21
0
15 May 2017
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of
  Rectifier Units
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units
Shaoshuai Shi
Xiaowen Chu
140
44
0
25 Apr 2017
Previous
12345678
Next