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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
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
31
29
0
25 Oct 2022
Pushing the Efficiency Limit Using Structured Sparse Convolutions
Pushing the Efficiency Limit Using Structured Sparse Convolutions
Vinay Kumar Verma
Nikhil Mehta
Shijing Si
Ricardo Henao
Lawrence Carin
25
3
0
23 Oct 2022
Compressing Explicit Voxel Grid Representations: fast NeRFs become also
  small
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small
C. Deng
Enzo Tartaglione
GNN
36
52
0
23 Oct 2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
Yupeng Zhang
Hongzhi Zhang
Sirui Wang
Wei Wu
Zhoujun Li
AAML
37
1
0
22 Oct 2022
Extensible Proxy for Efficient NAS
Extensible Proxy for Efficient NAS
Yuhong Li
Jiajie Li
Cong Han
P. Li
Jinjun Xiong
De-huai Chen
20
1
0
17 Oct 2022
Parameter-Efficient Masking Networks
Parameter-Efficient Masking Networks
Yue Bai
Huan Wang
Xu Ma
Yitian Zhang
Zhiqiang Tao
Yun Fu
31
10
0
13 Oct 2022
Structural Pruning via Latency-Saliency Knapsack
Structural Pruning via Latency-Saliency Knapsack
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jianna Liu
J. Álvarez
39
48
0
13 Oct 2022
Towards Theoretically Inspired Neural Initialization Optimization
Towards Theoretically Inspired Neural Initialization Optimization
Yibo Yang
Hong Wang
Haobo Yuan
Zhouchen Lin
32
9
0
12 Oct 2022
Shapley Head Pruning: Identifying and Removing Interference in
  Multilingual Transformers
Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers
William B. Held
Diyi Yang
VLM
45
5
0
11 Oct 2022
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency
  of Adapters
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
Shwai He
Liang Ding
Daize Dong
Miao Zhang
Dacheng Tao
MoE
37
87
0
09 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
58
68
0
08 Oct 2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Arjun Krishnakumar
Colin White
Arber Zela
Renbo Tu
Mahmoud Safari
Frank Hutter
55
40
0
06 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
47
38
0
06 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
43
19
0
05 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
Scale-invariant Bayesian Neural Networks with Connectivity Tangent
  Kernel
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
Sungyub Kim
Si-hun Park
Kyungsu Kim
Eunho Yang
BDL
32
4
0
30 Sep 2022
Is Complexity Required for Neural Network Pruning? A Case Study on
  Global Magnitude Pruning
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Manas Gupta
Efe Camci
Vishandi Rudy Keneta
Abhishek Vaidyanathan
Ritwik Kanodia
Chuan-Sheng Foo
Wu Min
Lin Jie
25
14
0
29 Sep 2022
Neural Network Panning: Screening the Optimal Sparse Network Before
  Training
Neural Network Panning: Screening the Optimal Sparse Network Before Training
Xiatao Kang
P. Li
Jiayi Yao
Chengxi Li
VLM
23
1
0
27 Sep 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for
  Sparse Training
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Geng Yuan
Yanyu Li
Sheng Li
Zhenglun Kong
Sergey Tulyakov
Xulong Tang
Yanzhi Wang
Jian Ren
35
15
0
22 Sep 2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing
  Text-To-Speech Models
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Perry Lam
Huayun Zhang
Nancy F. Chen
Berrak Sisman
21
2
0
22 Sep 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
63
60
0
20 Sep 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
55
22
0
18 Sep 2022
Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask
Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask
Sheng-Chun Kao
Amir Yazdanbakhsh
Suvinay Subramanian
Shivani Agrawal
Utku Evci
T. Krishna
55
12
0
15 Sep 2022
Optimizing Connectivity through Network Gradients for Restricted
  Boltzmann Machines
Optimizing Connectivity through Network Gradients for Restricted Boltzmann Machines
A. C. N. D. Oliveira
Daniel R. Figueiredo
32
0
0
14 Sep 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
34
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
Symmetric Pruning in Quantum Neural Networks
Symmetric Pruning in Quantum Neural Networks
Xinbiao Wang
Junyu Liu
Tongliang Liu
Yong Luo
Yuxuan Du
Dacheng Tao
39
24
0
30 Aug 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
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
Zhewen Yu
C. Bouganis
37
5
0
22 Aug 2022
Memristive Computing for Efficient Inference on Resource Constrained
  Devices
Memristive Computing for Efficient Inference on Resource Constrained Devices
Venkatesh Rammamoorthy
Geng Zhao
B. Reddy
Ming-Yang Lin
14
0
0
21 Aug 2022
Investigating the Impact of Model Width and Density on Generalization in
  Presence of Label Noise
Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise
Yihao Xue
Kyle Whitecross
Baharan Mirzasoleiman
NoLa
33
1
0
17 Aug 2022
Remote Photoplethysmography from Low Resolution videos: An end-to-end
  solution using Efficient ConvNets
Remote Photoplethysmography from Low Resolution videos: An end-to-end solution using Efficient ConvNets
Bharath Ramakrishnan
Ruijian Deng
CVBM
3DH
13
0
0
14 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
22
1
0
11 Aug 2022
Visual Heart Rate Estimation from RGB Facial Video using Spectral
  Reflectance
Visual Heart Rate Estimation from RGB Facial Video using Spectral Reflectance
Bharath Ramakrishnan
Ruijia Deng
Hassan Ali
CVBM
12
0
0
09 Aug 2022
N2NSkip: Learning Highly Sparse Networks using Neuron-to-Neuron Skip
  Connections
N2NSkip: Learning Highly Sparse Networks using Neuron-to-Neuron Skip Connections
Arvind Subramaniam
Avinash Sharma
9
17
0
07 Aug 2022
Trainability Preserving Neural Pruning
Trainability Preserving Neural Pruning
Huan Wang
Yun Fu
AAML
22
17
0
25 Jul 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute
  Classification
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
44
38
0
22 Jul 2022
Doge Tickets: Uncovering Domain-general Language Models by Playing
  Lottery Tickets
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets
Yi Yang
Chen Zhang
Benyou Wang
Dawei Song
LRM
31
6
0
20 Jul 2022
To update or not to update? Neurons at equilibrium in deep models
To update or not to update? Neurons at equilibrium in deep models
Andrea Bragagnolo
Enzo Tartaglione
Marco Grangetto
38
10
0
19 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks
On the Robustness and Anomaly Detection of Sparse Neural Networks
Morgane Ayle
Bertrand Charpentier
John Rachwan
Daniel Zügner
Simon Geisler
Stephan Günnemann
AAML
63
3
0
09 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
37
46
0
04 Jul 2022
PrUE: Distilling Knowledge from Sparse Teacher Networks
PrUE: Distilling Knowledge from Sparse Teacher Networks
Shaopu Wang
Xiaojun Chen
Mengzhen Kou
Jinqiao Shi
30
2
0
03 Jul 2022
Training Your Sparse Neural Network Better with Any Mask
Training Your Sparse Neural Network Better with Any Mask
Ajay Jaiswal
Haoyu Ma
Tianlong Chen
Ying Ding
Zhangyang Wang
CVBM
34
35
0
26 Jun 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of
  Weight Importance
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
Qingru Zhang
Simiao Zuo
Chen Liang
Alexander Bukharin
Pengcheng He
Weizhu Chen
T. Zhao
27
78
0
25 Jun 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
32
24
0
21 Jun 2022
The State of Sparse Training in Deep Reinforcement Learning
The State of Sparse Training in Deep Reinforcement Learning
L. Graesser
Utku Evci
Erich Elsen
Pablo Samuel Castro
OffRL
17
34
0
17 Jun 2022
FreeREA: Training-Free Evolution-based Architecture Search
FreeREA: Training-Free Evolution-based Architecture Search
Niccolò Cavagnero
Luc Robbiano
Barbara Caputo
Giuseppe Averta
25
19
0
17 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zhengqi He
Zeke Xie
Quanzhi Zhu
Zengchang Qin
86
27
0
17 Jun 2022
"Understanding Robustness Lottery": A Geometric Visual Comparative
  Analysis of Neural Network Pruning Approaches
"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches
Zhimin Li
Shusen Liu
Xin Yu
Kailkhura Bhavya
Jie Cao
Diffenderfer James Daniel
P. Bremer
Valerio Pascucci
AAML
34
1
0
16 Jun 2022
Can pruning improve certified robustness of neural networks?
Can pruning improve certified robustness of neural networks?
Zhangheng Li
Tianlong Chen
Linyi Li
Bo Li
Zhangyang Wang
AAML
24
12
0
15 Jun 2022
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