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SNIP: Single-shot Network Pruning based on Connection Sensitivity

SNIP: Single-shot Network Pruning based on Connection Sensitivity

4 October 2018
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
    VLM
ArXivPDFHTML

Papers citing "SNIP: Single-shot Network Pruning based on Connection Sensitivity"

50 / 709 papers shown
Title
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
40
17
0
15 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi
Pengfei Zheng
Adam Ding
Yuan Gao
Weizhong Zhang
AAML
31
1
0
14 Feb 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Tianlong Chen
Xuxi Chen
Xiaolong Ma
Yanzhi Wang
Zhangyang Wang
24
35
0
09 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with
  Invariant Integration
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
M. Rath
Alexandru Paul Condurache
25
8
0
08 Feb 2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for
  Training Large Transformer Models
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Chen Liang
Haoming Jiang
Simiao Zuo
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
T. Zhao
25
14
0
06 Feb 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most
  Naive Baseline for Sparse Training
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Shiwei Liu
Tianlong Chen
Xiaohan Chen
Li Shen
Decebal Constantin Mocanu
Zhangyang Wang
Mykola Pechenizkiy
19
106
0
05 Feb 2022
Selective Network Linearization for Efficient Private Inference
Selective Network Linearization for Efficient Private Inference
Minsu Cho
Ameya Joshi
S. Garg
Brandon Reagen
Chinmay Hegde
19
43
0
04 Feb 2022
OptG: Optimizing Gradient-driven Criteria in Network Sparsity
OptG: Optimizing Gradient-driven Criteria in Network Sparsity
Yuxin Zhang
Mingbao Lin
Yonghong Tian
Rongrong Ji
Rongrong Ji
46
5
0
30 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary
  Adaptive Online Model Pruning
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
32
6
0
27 Jan 2022
On The Energy Statistics of Feature Maps in Pruning of Neural Networks
  with Skip-Connections
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections
Mohammadreza Soltani
Suya Wu
Yuerong Li
Jie Ding
Vahid Tarokh
3DPC
39
0
0
26 Jan 2022
Iterative Activation-based Structured Pruning
Iterative Activation-based Structured Pruning
Kaiqi Zhao
Animesh Jain
Ming Zhao
42
0
0
22 Jan 2022
Adaptive Activation-based Structured Pruning
Adaptive Activation-based Structured Pruning
Kaiqi Zhao
Animesh Jain
Ming Zhao
32
1
0
21 Jan 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
25
22
0
31 Dec 2021
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural
  Networks
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Runpei Dong
Zhanhong Tan
Mengdi Wu
Linfeng Zhang
Kaisheng Ma
MQ
41
11
0
30 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
35
96
0
18 Dec 2021
SNF: Filter Pruning via Searching the Proper Number of Filters
SNF: Filter Pruning via Searching the Proper Number of Filters
Pengkun Liu
Yaru Yue
Yanjun Guo
Xingxiang Tao
Xiaoguang Zhou
3DPC
36
0
0
14 Dec 2021
On the Compression of Natural Language Models
On the Compression of Natural Language Models
S. Damadi
30
0
0
13 Dec 2021
Inf-CP: A Reliable Channel Pruning based on Channel Influence
Inf-CP: A Reliable Channel Pruning based on Channel Influence
Bilan Lai
Haoran Xiang
S. Furao
10
0
0
05 Dec 2021
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural
  Network Inference
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
Erwei Wang
James J. Davis
G. Stavrou
P. Cheung
George A. Constantinides
Mohamed S. Abdelfattah
MQ
19
11
0
04 Dec 2021
Putting 3D Spatially Sparse Networks on a Diet
Putting 3D Spatially Sparse Networks on a Diet
Junha Lee
Chris Choy
Jaesik Park
3DV
41
3
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
33
75
0
30 Nov 2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning
  Rule
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Miao Zhang
Jilin Hu
Steven W. Su
Shirui Pan
Xiaojun Chang
B. Yang
Gholamreza Haffari
OOD
47
15
0
25 Nov 2021
Plant ñ' Seek: Can You Find the Winning Ticket?
Plant ñ' Seek: Can You Find the Winning Ticket?
Jonas Fischer
R. Burkholz
28
21
0
22 Nov 2021
On the Existence of Universal Lottery Tickets
On the Existence of Universal Lottery Tickets
R. Burkholz
Nilanjana Laha
Rajarshi Mukherjee
Alkis Gotovos
UQCV
21
32
0
22 Nov 2021
Neuron-based Pruning of Deep Neural Networks with Better Generalization
  using Kronecker Factored Curvature Approximation
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation
Abdolghani Ebrahimi
Diego Klabjan
20
4
0
16 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
Fei Wu
Jingren Zhou
Hongxia Yang
28
91
0
11 Nov 2021
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
86
83
0
08 Nov 2021
How I Learned to Stop Worrying and Love Retraining
How I Learned to Stop Worrying and Love Retraining
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
CLL
12
8
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
32
22
0
30 Oct 2021
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language
  Models
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
Xuxi Chen
Tianlong Chen
Weizhu Chen
Ahmed Hassan Awadallah
Zhangyang Wang
Yu Cheng
MoE
ALM
28
10
0
30 Oct 2021
RGP: Neural Network Pruning through Its Regular Graph Structure
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen
Jingyang Xiang
Yao Lu
Qi Xuan
Xiaoniu Yang
27
1
0
28 Oct 2021
An Operator Theoretic View on Pruning Deep Neural Networks
An Operator Theoretic View on Pruning Deep Neural Networks
William T. Redman
M. Fonoberova
Ryan Mohr
Yannis G. Kevrekidis
Igor Mezić
46
17
0
28 Oct 2021
Meta-Learning Sparse Implicit Neural Representations
Meta-Learning Sparse Implicit Neural Representations
Jaehoon Lee
Jihoon Tack
Namhoon Lee
Jinwoo Shin
29
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
30
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
40
129
0
26 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
14
71
0
25 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations
Reconstructing Pruned Filters using Cheap Spatial Transformations
Roy Miles
K. Mikolajczyk
31
0
0
25 Oct 2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu
Baopu Li
Zhen Chen
Yixuan Yuan
FAtt
17
9
0
24 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
HALP: Hardware-Aware Latency Pruning
HALP: Hardware-Aware Latency Pruning
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jianna Liu
J. Álvarez
VLM
46
13
0
20 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
47
30
0
20 Oct 2021
SOSP: Efficiently Capturing Global Correlations by Second-Order
  Structured Pruning
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Manuel Nonnenmacher
Thomas Pfeil
Ingo Steinwart
David Reeb
21
25
0
19 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
GradSign: Model Performance Inference with Theoretical Insights
GradSign: Model Performance Inference with Theoretical Insights
Zhihao Zhang
Zhihao Jia
33
22
0
16 Oct 2021
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming
  E2E ASR via Supernet
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet
Haichuan Yang
Yuan Shangguan
Dilin Wang
Meng Li
P. Chuang
Xiaohui Zhang
Ganesh Venkatesh
Ozlem Kalinli
Vikas Chandra
37
14
0
15 Oct 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
24
18
0
15 Oct 2021
A Field Guide to Scientific XAI: Transparent and Interpretable Deep
  Learning for Bioinformatics Research
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research
Thomas P. Quinn
Sunil R. Gupta
Svetha Venkatesh
Vuong Le
OOD
19
2
0
13 Oct 2021
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models
J. Tan
C. Chan
Joon Huang Chuah
VLM
54
16
0
07 Oct 2021
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