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Learning both Weights and Connections for Efficient Neural Networks

Learning both Weights and Connections for Efficient Neural Networks

8 June 2015
Song Han
Jeff Pool
J. Tran
W. Dally
    CVBM
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Papers citing "Learning both Weights and Connections for Efficient Neural Networks"

50 / 1,270 papers shown
Title
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Bai Li
Shiqi Wang
Yunhan Jia
Yantao Lu
Zhenyu Zhong
Lawrence Carin
Suman Jana
AAML
61
14
0
06 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision
  Applications
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications
Chinthaka Gamanayake
Lahiru Jayasinghe
Benny Kai Kiat Ng
Chau Yuen
VLM
49
46
0
05 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
237
384
0
05 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural
  Networks for Edge Devices
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
Byung Hoon Ahn
Jinwon Lee
J. Lin
Hsin-Pai Cheng
Jilei Hou
H. Esmaeilzadeh
78
55
0
04 Mar 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism
  Principled Robust Deep Neural Nets
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets
Thu Dinh
Bao Wang
Andrea L. Bertozzi
Stanley J. Osher
AAML
19
17
0
02 Mar 2020
Learned Threshold Pruning
Learned Threshold Pruning
K. Azarian
Yash Bhalgat
Jinwon Lee
Tijmen Blankevoort
MQ
33
38
0
28 Feb 2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN
  Compression
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
R. Lin
Ching-Yun Ko
Zhuolun He
Cong Chen
Yuan Cheng
Hao Yu
G. Chesi
Ngai Wong
44
6
0
28 Feb 2020
The Early Phase of Neural Network Training
The Early Phase of Neural Network Training
Jonathan Frankle
D. Schwab
Ari S. Morcos
28
173
0
24 Feb 2020
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
22
718
0
24 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks
Exploring the Connection Between Binary and Spiking Neural Networks
Sen Lu
Abhronil Sengupta
MQ
16
103
0
24 Feb 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by
  Enabling Input-Adaptive Inference
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
Ting-Kuei Hu
Tianlong Chen
Haotao Wang
Zhangyang Wang
OOD
AAML
3DH
22
84
0
24 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
34
327
0
22 Feb 2020
SpArch: Efficient Architecture for Sparse Matrix Multiplication
SpArch: Efficient Architecture for Sparse Matrix Multiplication
Zhekai Zhang
Hanrui Wang
Song Han
W. Dally
21
228
0
20 Feb 2020
On the Decision Boundaries of Neural Networks: A Tropical Geometry
  Perspective
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective
Motasem Alfarra
Adel Bibi
Hasan Hammoud
M. Gaafar
Guohao Li
31
26
0
20 Feb 2020
Neural Network Compression Framework for fast model inference
Neural Network Compression Framework for fast model inference
Alexander Kozlov
Ivan Lazarevich
Vasily Shamporov
N. Lyalyushkin
Yury Gorbachev
36
35
0
20 Feb 2020
NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse
  Networks
NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks
Mihailo Isakov
Michel A. Kinsy
38
1
0
19 Feb 2020
Knapsack Pruning with Inner Distillation
Knapsack Pruning with Inner Distillation
Y. Aflalo
Asaf Noy
Ming Lin
Itamar Friedman
Lihi Zelnik-Manor
3DPC
17
34
0
19 Feb 2020
Identifying Critical Neurons in ANN Architectures using Mixed Integer
  Programming
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
M. Elaraby
Guy Wolf
Margarida Carvalho
31
5
0
17 Feb 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
30
44
0
17 Feb 2020
Analytic Marching: An Analytic Meshing Solution from Deep Implicit
  Surface Networks
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Jiabao Lei
Kui Jia
29
21
0
16 Feb 2020
Taurus: A Data Plane Architecture for Per-Packet ML
Taurus: A Data Plane Architecture for Per-Packet ML
Tushar Swamy
Alexander Rucker
M. Shahbaz
Ishan Gaur
K. Olukotun
28
82
0
12 Feb 2020
A study of local optima for learning feature interactions using neural
  networks
A study of local optima for learning feature interactions using neural networks
Yangzi Guo
Adrian Barbu
41
1
0
11 Feb 2020
Understanding and Improving Knowledge Distillation
Understanding and Improving Knowledge Distillation
Jiaxi Tang
Rakesh Shivanna
Zhe Zhao
Dong Lin
Anima Singh
Ed H. Chi
Sagar Jain
32
130
0
10 Feb 2020
Activation Density driven Energy-Efficient Pruning in Training
Activation Density driven Energy-Efficient Pruning in Training
Timothy Foldy-Porto
Yeshwanth Venkatesha
Priyadarshini Panda
18
4
0
07 Feb 2020
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with
  Global and Local Attention
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention
Abhijit Suprem
C. Pu
30
28
0
06 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
64
272
0
03 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the
  Wild
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
44
22
0
29 Jan 2020
Progressive Local Filter Pruning for Image Retrieval Acceleration
Progressive Local Filter Pruning for Image Retrieval Acceleration
Xiaodong Wang
Zhedong Zheng
Yang He
Fei Yan
Zhi-qiang Zeng
Yi Yang
38
34
0
24 Jan 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yuxin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
79
241
0
23 Jan 2020
Filter Sketch for Network Pruning
Filter Sketch for Network Pruning
Mingbao Lin
Liujuan Cao
Shaojie Li
QiXiang Ye
Yonghong Tian
Jianzhuang Liu
Q. Tian
Rongrong Ji
CLIP
3DPC
61
82
0
23 Jan 2020
Low-Complexity LSTM Training and Inference with FloatSD8 Weight
  Representation
Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation
Yu-Tung Liu
T. Chiueh
MQ
23
1
0
23 Jan 2020
Depthwise Non-local Module for Fast Salient Object Detection Using a
  Single Thread
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread
Haofeng Li
Guanbin Li
Binbin Yang
Guanqi Chen
Liang Lin
Yizhou Yu
ObjD
51
28
0
22 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
  Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma
Wei Niu
Tianyun Zhang
Sijia Liu
Sheng Lin
...
Xiang Chen
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
48
27
0
20 Jan 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge
Christian Bartz
Haojin Yang
Ying-Cong Chen
Christoph Meinel
MQ
33
91
0
16 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
Dor Livne
Kobi Cohen
37
50
0
14 Jan 2020
Quantisation and Pruning for Neural Network Compression and
  Regularisation
Quantisation and Pruning for Neural Network Compression and Regularisation
Kimessha Paupamah
Steven D. James
Richard Klein
20
23
0
14 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems
Resource-Efficient Neural Networks for Embedded Systems
Wolfgang Roth
Günther Schindler
Lukas Pfeifenberger
Robert Peharz
Sebastian Tschiatschek
Holger Fröning
Franz Pernkopf
Zoubin Ghahramani
39
47
0
07 Jan 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
50
73
0
07 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
33
119
0
04 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
24
13
0
02 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai
Z. Yao
Zhen Dong
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
43
393
0
01 Jan 2020
Lossless Compression of Deep Neural Networks
Lossless Compression of Deep Neural Networks
Thiago Serra
Abhinav Kumar
Srikumar Ramalingam
36
56
0
01 Jan 2020
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
40
227
0
01 Jan 2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle
Gintare Karolina Dziugaite
Daniel M. Roy
Michael Carbin
MoMe
70
606
0
11 Dec 2019
Voice Conversion for Whispered Speech Synthesis
Voice Conversion for Whispered Speech Synthesis
Marius Cotescu
Thomas Drugman
Goeric Huybrechts
Jaime Lorenzo-Trueba
Alexis Moinet
9
30
0
11 Dec 2019
An Improving Framework of regularization for Network Compression
An Improving Framework of regularization for Network Compression
E. Zhenqian
Weiguo Gao
AI4CE
21
0
0
11 Dec 2019
Winning the Lottery with Continuous Sparsification
Winning the Lottery with Continuous Sparsification
Pedro H. P. Savarese
Hugo Silva
Michael Maire
27
134
0
10 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
47
314
0
04 Dec 2019
Light-weight Calibrator: a Separable Component for Unsupervised Domain
  Adaptation
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
Shaokai Ye
Kailu Wu
Mu Zhou
Yunfei Yang
S. Tan
Kaidi Xu
Jiebo Song
Chenglong Bao
Kaisheng Ma
39
20
0
28 Nov 2019
QKD: Quantization-aware Knowledge Distillation
QKD: Quantization-aware Knowledge Distillation
Jangho Kim
Yash Bhalgat
Jinwon Lee
Chirag I. Patel
Nojun Kwak
MQ
61
64
0
28 Nov 2019
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