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Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?

Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?

3 July 2019
Xiaolong Ma
Sheng Lin
Shaokai Ye
Zhezhi He
Linfeng Zhang
Geng Yuan
S. Tan
Z. Li
Deliang Fan
Xuehai Qian
X. Lin
Kaisheng Ma
Yanzhi Wang
    MQ
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Papers citing "Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?"

16 / 16 papers shown
Title
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at
  Initialization
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
Bailey J. Eccles
Leon Wong
Blesson Varghese
33
2
0
22 Apr 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
Lixiang Han
Zhen Xiao
Zhenjiang Li
41
5
0
17 Jan 2024
Automatic Attention Pruning: Improving and Automating Model Pruning
  using Attentions
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao
Animesh Jain
Ming Zhao
21
9
0
14 Mar 2023
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Muhammad Zawish
Steven Davy
L. Abraham
33
16
0
26 Aug 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
25
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
19
1
0
13 Jun 2022
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
Yifan Gong
Geng Yuan
Zheng Zhan
Wei Niu
Zhengang Li
...
Sijia Liu
Bin Ren
Xue Lin
Xulong Tang
Yanzhi Wang
20
10
0
22 Nov 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
15
89
0
26 Oct 2021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for
  Mixed-signal DNN Accelerator
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
Geng Yuan
Payman Behnam
Zhengang Li
Ali Shafiee
Sheng Lin
...
Hang Liu
Xuehai Qian
M. N. Bojnordi
Yanzhi Wang
Caiwen Ding
19
68
0
16 Jun 2021
Deep Neural Networks Based Weight Approximation and Computation Reuse
  for 2-D Image Classification
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification
M. Tolba
H. Tesfai
H. Saleh
B. Mohammad
Mahmoud Al-Qutayri
16
4
0
28 Apr 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
50
34
0
25 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
33
54
0
05 Mar 2021
Rethinking Weight Decay For Efficient Neural Network Pruning
Rethinking Weight Decay For Efficient Neural Network Pruning
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
26
25
0
20 Nov 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
46
81
0
02 Jul 2020
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
319
1,049
0
10 Feb 2017
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