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Connectivity Matters: Neural Network Pruning Through the Lens of
  Effective Sparsity

Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity

5 July 2021
Artem Vysogorets
Julia Kempe
ArXivPDFHTML

Papers citing "Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity"

13 / 13 papers shown
Title
Learning effective pruning at initialization from iterative pruning
Learning effective pruning at initialization from iterative pruning
Shengkai Liu
Yaofeng Cheng
Fusheng Zha
Wei Guo
Lining Sun
Zhenshan Bing
Chenguang Yang
35
0
0
27 Aug 2024
Sparsest Models Elude Pruning: An Exposé of Pruning's Current
  Capabilities
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities
Stephen Zhang
V. Papyan
33
0
0
04 Jul 2024
Understanding Sparse Neural Networks from their Topology via
  Multipartite Graph Representations
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
Elia Cunegatti
Matteo Farina
Doina Bucur
Giovanni Iacca
35
1
0
26 May 2023
On Model Compression for Neural Networks: Framework, Algorithm, and
  Convergence Guarantee
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li
Jihoon Chung
Mengnan Du
Haimin Wang
Xianlian Zhou
Bohao Shen
33
1
0
13 Mar 2023
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural
  Networks
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu
Rohan Ghosh
John Tan Chong Min
Mehul Motani
29
0
0
09 Dec 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
18
1
0
27 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
26
4
0
13 Sep 2022
Trainability Preserving Neural Pruning
Trainability Preserving Neural Pruning
Huan Wang
Yun Fu
AAML
19
17
0
25 Jul 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
39
14
0
04 Mar 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
77
46
0
20 Feb 2022
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
18
91
0
11 Nov 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
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