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Pruning neural networks without any data by iteratively conserving
  synaptic flow

Pruning neural networks without any data by iteratively conserving synaptic flow

9 June 2020
Hidenori Tanaka
D. Kunin
Daniel L. K. Yamins
Surya Ganguli
ArXivPDFHTML

Papers citing "Pruning neural networks without any data by iteratively conserving synaptic flow"

50 / 113 papers shown
Title
SNIPER Training: Single-Shot Sparse Training for Text-to-Speech
SNIPER Training: Single-Shot Sparse Training for Text-to-Speech
Perry Lam
Huayun Zhang
Nancy F. Chen
Berrak Sisman
Dorien Herremans
VLM
30
0
0
14 Nov 2022
Partial Binarization of Neural Networks for Budget-Aware Efficient
  Learning
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Udbhav Bamba
Neeraj Anand
Saksham Aggarwal
Dilip K Prasad
D. K. Gupta
MQ
26
0
0
12 Nov 2022
Towards Theoretically Inspired Neural Initialization Optimization
Towards Theoretically Inspired Neural Initialization Optimization
Yibo Yang
Hong Wang
Haobo Yuan
Zhouchen Lin
23
9
0
12 Oct 2022
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
49
68
0
08 Oct 2022
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning
  Ticket's Mask?
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul
F. Chen
Brett W. Larsen
Jonathan Frankle
Surya Ganguli
Gintare Karolina Dziugaite
UQCV
35
38
0
06 Oct 2022
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight
  Neural Architecture by Prior Knowledge
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge
Yumeng Zhang
J. Hsieh
Chun-Chieh Lee
Kuo-Chin Fan
36
0
0
02 Oct 2022
One-shot Network Pruning at Initialization with Discriminative Image
  Patches
One-shot Network Pruning at Initialization with Discriminative Image Patches
Yinan Yang
Yu Wang
Yi Ji
Heng Qi
Jien Kato
VLM
28
4
0
13 Sep 2022
Towards Sparsification of Graph Neural Networks
Towards Sparsification of Graph Neural Networks
Hongwu Peng
Deniz Gurevin
Shaoyi Huang
Tong Geng
Weiwen Jiang
O. Khan
Caiwen Ding
GNN
30
24
0
11 Sep 2022
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Muhammad Zawish
Steven Davy
L. Abraham
41
16
0
26 Aug 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-time
  Super-Resolution
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution
Yushu Wu
Yifan Gong
Pu Zhao
Yanyu Li
Zheng Zhan
Wei Niu
Hao Tang
Minghai Qin
Bin Ren
Yanzhi Wang
SupR
MQ
35
23
0
25 Jul 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
John Rachwan
Daniel Zügner
Bertrand Charpentier
Simon Geisler
Morgane Ayle
Stephan Günnemann
25
24
0
21 Jun 2022
Zeroth-Order Topological Insights into Iterative Magnitude Pruning
Zeroth-Order Topological Insights into Iterative Magnitude Pruning
Aishwarya H. Balwani
J. Krzyston
32
2
0
14 Jun 2022
Energy Consumption Analysis of pruned Semantic Segmentation Networks on
  an Embedded GPU
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
GNN
SSeg
3DPC
33
2
0
13 Jun 2022
Leveraging Structured Pruning of Convolutional Neural Networks
Leveraging Structured Pruning of Convolutional Neural Networks
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
CVBM
21
1
0
13 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
37
11
0
07 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
27
118
0
29 May 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets
Convolutional and Residual Networks Provably Contain Lottery Tickets
R. Burkholz
UQCV
MLT
40
13
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
77
18
0
04 May 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
36
11
0
06 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
24
87
0
01 Apr 2022
Automated Progressive Learning for Efficient Training of Vision
  Transformers
Automated Progressive Learning for Efficient Training of Vision Transformers
Changlin Li
Bohan Zhuang
Guangrun Wang
Xiaodan Liang
Xiaojun Chang
Yi Yang
28
46
0
28 Mar 2022
Training-free Transformer Architecture Search
Training-free Transformer Architecture Search
Qinqin Zhou
Kekai Sheng
Xiawu Zheng
Ke Li
Xing Sun
Yonghong Tian
Jie Chen
Rongrong Ji
ViT
40
46
0
23 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
42
48
0
09 Mar 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization
Structured Pruning is All You Need for Pruning CNNs at Initialization
Yaohui Cai
Weizhe Hua
Hongzheng Chen
G. E. Suh
Christopher De Sa
Zhiru Zhang
CVBM
47
14
0
04 Mar 2022
Extracting Effective Subnetworks with Gumbel-Softmax
Extracting Effective Subnetworks with Gumbel-Softmax
Robin Dupont
M. Alaoui
H. Sahbi
A. Lebois
22
6
0
25 Feb 2022
Rare Gems: Finding Lottery Tickets at Initialization
Rare Gems: Finding Lottery Tickets at Initialization
Kartik K. Sreenivasan
Jy-yong Sohn
Liu Yang
Matthew Grinde
Alliot Nagle
Hongyi Wang
Eric P. Xing
Kangwook Lee
Dimitris Papailiopoulos
30
42
0
24 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
98
47
0
20 Feb 2022
Exact Solutions of a Deep Linear Network
Exact Solutions of a Deep Linear Network
Liu Ziyin
Botao Li
Xiangmin Meng
ODL
19
21
0
10 Feb 2022
Approximating Full Conformal Prediction at Scale via Influence Functions
Approximating Full Conformal Prediction at Scale via Influence Functions
Javier Abad
Umang Bhatt
Adrian Weller
Giovanni Cherubin
31
10
0
02 Feb 2022
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
33
75
0
30 Nov 2021
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for
  Efficient Object Detection
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Zhenhong Sun
Ming Lin
Xiuyu Sun
Zhiyu Tan
Hao Li
Rong Jin
23
32
0
26 Nov 2021
Meta-Learning Sparse Implicit Neural Representations
Meta-Learning Sparse Implicit Neural Representations
Jaehoon Lee
Jihoon Tack
Namhoon Lee
Jinwoo Shin
22
44
0
27 Oct 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the
  Edge
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
23
89
0
26 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
33
129
0
26 Oct 2021
When to Prune? A Policy towards Early Structural Pruning
When to Prune? A Policy towards Early Structural Pruning
Maying Shen
Pavlo Molchanov
Hongxu Yin
J. Álvarez
VLM
28
53
0
22 Oct 2021
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded
  learning
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
Soufiane Hayou
Bo He
Gintare Karolina Dziugaite
37
2
0
22 Oct 2021
Lottery Tickets with Nonzero Biases
Lottery Tickets with Nonzero Biases
Jonas Fischer
Advait Gadhikar
R. Burkholz
27
6
0
21 Oct 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian
  Optimization with Zero-cost Proxies
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Yu Shen
Yang Li
Jian Zheng
Wentao Zhang
Peng Yao
Jixiang Li
Sen Yang
Ji Liu
Cui Bin
AI4CE
42
30
0
20 Oct 2021
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based
  Networks
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
Shiyu Liu
Chong Min John Tan
Mehul Motani
CLL
29
4
0
17 Oct 2021
Prune Your Model Before Distill It
Prune Your Model Before Distill It
Jinhyuk Park
Albert No
VLM
46
27
0
30 Sep 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting
  and Output Merging
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
28
15
0
30 Sep 2021
NASI: Label- and Data-agnostic Neural Architecture Search at
  Initialization
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Yao Shu
Shaofeng Cai
Zhongxiang Dai
Beng Chin Ooi
K. H. Low
22
43
0
02 Sep 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform
  Successive Halving
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
Ruochen Wang
Xiangning Chen
Minhao Cheng
Xiaocheng Tang
Cho-Jui Hsieh
41
13
0
18 Aug 2021
Deep Ensembling with No Overhead for either Training or Testing: The
  All-Round Blessings of Dynamic Sparsity
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu
Tianlong Chen
Zahra Atashgahi
Xiaohan Chen
Ghada Sokar
Elena Mocanu
Mykola Pechenizkiy
Zhangyang Wang
Decebal Constantin Mocanu
OOD
31
49
0
28 Jun 2021
The Feasibility and Inevitability of Stealth Attacks
The Feasibility and Inevitability of Stealth Attacks
I. Tyukin
D. Higham
Alexander Bastounis
Eliyas Woldegeorgis
Alexander N. Gorban
AAML
22
19
0
26 Jun 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Shiwei Liu
Tianlong Chen
Xiaohan Chen
Zahra Atashgahi
Lu Yin
Huanyu Kou
Li Shen
Mykola Pechenizkiy
Zhangyang Wang
Decebal Constantin Mocanu
40
111
0
19 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures
FEAR: A Simple Lightweight Method to Rank Architectures
Debadeepta Dey
Shital C. Shah
Sébastien Bubeck
OOD
30
4
0
07 Jun 2021
A brain basis of dynamical intelligence for AI and computational
  neuroscience
A brain basis of dynamical intelligence for AI and computational neuroscience
J. Monaco
Kanaka Rajan
Grace M. Hwang
AI4CE
26
6
0
15 May 2021
Recent Advances on Neural Network Pruning at Initialization
Recent Advances on Neural Network Pruning at Initialization
Huan Wang
Can Qin
Yue Bai
Yulun Zhang
Yun Fu
CVBM
33
64
0
11 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test
  Accuracy
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Lucas Liebenwein
Cenk Baykal
Brandon Carter
David K Gifford
Daniela Rus
AAML
40
71
0
04 Mar 2021
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