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Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain
  Surgeon
v1v2 (latest)

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon

22 May 2017
Xin Luna Dong
Shangyu Chen
Sinno Jialin Pan
ArXiv (abs)PDFHTML

Papers citing "Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon"

50 / 275 papers shown
Title
LOFT: Finding Lottery Tickets through Filter-wise Training
LOFT: Finding Lottery Tickets through Filter-wise Training
Qihan Wang
Chen Dun
Fangshuo Liao
C. Jermaine
Anastasios Kyrillidis
90
3
0
28 Oct 2022
Pruning's Effect on Generalization Through the Lens of Training and
  Regularization
Pruning's Effect on Generalization Through the Lens of Training and Regularization
Tian Jin
Michael Carbin
Daniel M. Roy
Jonathan Frankle
Gintare Karolina Dziugaite
140
31
0
25 Oct 2022
HesScale: Scalable Computation of Hessian Diagonals
HesScale: Scalable Computation of Hessian Diagonals
Mohamed Elsayed
A. R. Mahmood
127
9
0
20 Oct 2022
Attaining Class-level Forgetting in Pretrained Model using Few Samples
Attaining Class-level Forgetting in Pretrained Model using Few Samples
Pravendra Singh
Pratik Mazumder
M. A. Karim
VLMCLLMU
67
2
0
19 Oct 2022
Post-Training Quantization for Energy Efficient Realization of Deep
  Neural Networks
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
Cecilia Latotzke
Batuhan Balim
T. Gemmeke
MQ
62
3
0
14 Oct 2022
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
Denis Kuznedelev
Eldar Kurtic
Elias Frantar
Dan Alistarh
VLMViT
125
17
0
14 Oct 2022
Pruning Adversarially Robust Neural Networks without Adversarial
  Examples
Pruning Adversarially Robust Neural Networks without Adversarial Examples
T. Jian
Zifeng Wang
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
AAMLVLM
98
14
0
09 Oct 2022
Why Random Pruning Is All We Need to Start Sparse
Why Random Pruning Is All We Need to Start Sparse
Advait Gadhikar
Sohom Mukherjee
R. Burkholz
152
23
0
05 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph
  Representation Learning
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang
Chao Huang
Yijun Tian
Qianlong Wen
Z. Ouyang
Youhuan Li
Yanfang Ye
Chuxu Zhang
93
8
0
01 Oct 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No
  Assumptions
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
M. Tukan
Loay Mualem
Alaa Maalouf
3DPC
123
24
0
18 Sep 2022
CWP: Instance complexity weighted channel-wise soft masks for network
  pruning
CWP: Instance complexity weighted channel-wise soft masks for network pruning
Jiapeng Wang
Ming Ma
Zhenhua Yu
125
0
0
08 Sep 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
237
127
0
31 Aug 2022
Optimal Brain Compression: A Framework for Accurate Post-Training
  Quantization and Pruning
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Elias Frantar
Sidak Pal Singh
Dan Alistarh
MQ
238
283
0
24 Aug 2022
Restructurable Activation Networks
Restructurable Activation Networks
Kartikeya Bhardwaj
James Ward
Caleb Tung
Dibakar Gope
Lingchuan Meng
Igor Fedorov
A. Chalfin
P. Whatmough
Danny Loh
138
5
0
17 Aug 2022
WeightMom: Learning Sparse Networks using Iterative Momentum-based
  pruning
WeightMom: Learning Sparse Networks using Iterative Momentum-based pruning
Elvis Johnson
Xiao-Ming Tang
Sriramacharyulu Samudrala
63
1
0
11 Aug 2022
Quiver neural networks
Quiver neural networks
I. Ganev
Robin Walters
89
4
0
26 Jul 2022
Model Compression for Resource-Constrained Mobile Robots
Model Compression for Resource-Constrained Mobile Robots
Timotheos Souroulla
Alberto Hata
Ahmad Terra
Özer Özkahraman
Rafia Inam
33
0
0
20 Jul 2022
Neural Network Compression via Effective Filter Analysis and
  Hierarchical Pruning
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
Ziqi Zhou
Li Lian
Yilong Yin
Ze Wang
61
1
0
07 Jun 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
178
11
0
07 Jun 2022
Dynamic Kernel Selection for Improved Generalization and Memory
  Efficiency in Meta-learning
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
Arnav Chavan
Rishabh Tiwari
Udbhav Bamba
D. K. Gupta
106
5
0
03 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
223
22
0
02 Jun 2022
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
Y. Tan
Pihe Hu
L. Pan
Jiatai Huang
Longbo Huang
OffRL
129
31
0
30 May 2022
FlashAttention: Fast and Memory-Efficient Exact Attention with
  IO-Awareness
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao
Daniel Y. Fu
Stefano Ermon
Atri Rudra
Christopher Ré
VLM
636
2,758
0
27 May 2022
Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Shi Gu
103
25
0
06 May 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets
Convolutional and Residual Networks Provably Contain Lottery Tickets
R. Burkholz
UQCVMLT
121
14
0
04 May 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth
Most Activation Functions Can Win the Lottery Without Excessive Depth
R. Burkholz
MLT
182
19
0
04 May 2022
Boosting Pruned Networks with Linear Over-parameterization
Boosting Pruned Networks with Linear Over-parameterization
Yundi Qian
Siyuan Pan
Xiaoshuang Li
Jie Zhang
Liang Hou
Xiaobing Tu
117
3
0
25 Apr 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and
  Sparse Network
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network
Byung-Kwan Lee
Junho Kim
Y. Ro
AAML
80
23
0
06 Apr 2022
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
J. Ó. Neill
Sourav Dutta
H. Assem
VLM
119
2
0
04 Apr 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate
  Training
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao
Beidi Chen
N. Sohoni
Arjun D Desai
Michael Poli
Jessica Grogan
Alexander Liu
Aniruddh Rao
Atri Rudra
Christopher Ré
177
101
0
01 Apr 2022
Unified Visual Transformer Compression
Unified Visual Transformer Compression
Shixing Yu
Tianlong Chen
Jiayi Shen
Huan Yuan
Jianchao Tan
Sen Yang
Ji Liu
Zhangyang Wang
ViT
126
104
0
15 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
181
54
0
09 Mar 2022
Practical Network Acceleration with Tiny Sets
Practical Network Acceleration with Tiny Sets
G. Wang
Jianxin Wu
130
12
0
16 Feb 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Mingbao Lin
Liujuan Cao
Yuxin Zhang
Ling Shao
Chia-Wen Lin
Rongrong Ji
94
61
0
15 Feb 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian
  Approximation
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo
Yuxian Qiu
Jingwen Leng
Xiaotian Gao
Chen Zhang
Yunxin Liu
Fan Yang
Yuhao Zhu
Minyi Guo
MQ
164
80
0
14 Feb 2022
Nonlinear Initialization Methods for Low-Rank Neural Networks
Nonlinear Initialization Methods for Low-Rank Neural Networks
Kiran Vodrahalli
Rakesh Shivanna
M. Sathiamoorthy
Sagar Jain
Ed H. Chi
123
4
0
02 Feb 2022
Single-Shot Pruning for Offline Reinforcement Learning
Single-Shot Pruning for Offline Reinforcement Learning
Samin Yeasar Arnob
Riyasat Ohib
Sergey Plis
Doina Precup
OffRL
95
25
0
31 Dec 2021
Federated Dynamic Sparse Training: Computing Less, Communicating Less,
  Yet Learning Better
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Sameer Bibikar
H. Vikalo
Zhangyang Wang
Xiaohan Chen
FedML
125
115
0
18 Dec 2021
Batch Normalization Tells You Which Filter is Important
Batch Normalization Tells You Which Filter is Important
Junghun Oh
Heewon Kim
Sungyong Baik
Chee Hong
Kyoung Mu Lee
CVBM
129
8
0
02 Dec 2021
Pixelated Butterfly: Simple and Efficient Sparse training for Neural
  Network Models
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Tri Dao
Beidi Chen
Kaizhao Liang
Jiaming Yang
Zhao Song
Atri Rudra
Christopher Ré
237
83
0
30 Nov 2021
Plant ñ' Seek: Can You Find the Winning Ticket?
Plant ñ' Seek: Can You Find the Winning Ticket?
Jonas Fischer
R. Burkholz
106
21
0
22 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
212
120
0
11 Nov 2021
MQBench: Towards Reproducible and Deployable Model Quantization
  Benchmark
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Yuhang Li
Mingzhu Shen
Jian Ma
Yan Ren
Mingxin Zhao
Tao Gui
Yazhe Niu
F. Yu
Junjie Yan
MQ
114
61
0
05 Nov 2021
Learning Pruned Structure and Weights Simultaneously from Scratch: an
  Attention based Approach
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
Qisheng He
Weisong Shi
Ming Dong
121
3
0
01 Nov 2021
You are caught stealing my winning lottery ticket! Making a lottery
  ticket claim its ownership
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
Xuxi Chen
Tianlong Chen
Zhenyu Zhang
Zhangyang Wang
WIGM
94
25
0
30 Oct 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in Science
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
128
74
0
25 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations
Reconstructing Pruned Filters using Cheap Spatial Transformations
Roy Miles
K. Mikolajczyk
127
0
0
25 Oct 2021
Lottery Tickets with Nonzero Biases
Lottery Tickets with Nonzero Biases
Jonas Fischer
Advait Gadhikar
R. Burkholz
85
6
0
21 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
89
1
0
21 Oct 2021
Neural Network Pruning Through Constrained Reinforcement Learning
Neural Network Pruning Through Constrained Reinforcement Learning
Shehryar Malik
Muhammad Umair Haider
O. Iqbal
M. Taj
107
1
0
16 Oct 2021
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