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Rethinking the Value of Network Pruning
v1v2 (latest)

Rethinking the Value of Network Pruning

11 October 2018
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
ArXiv (abs)PDFHTML

Papers citing "Rethinking the Value of Network Pruning"

50 / 757 papers shown
Title
NTK-SAP: Improving neural network pruning by aligning training dynamics
NTK-SAP: Improving neural network pruning by aligning training dynamics
Yite Wang
Dawei Li
Ruoyu Sun
91
21
0
06 Apr 2023
Efficient CNNs via Passive Filter Pruning
Efficient CNNs via Passive Filter Pruning
Arshdeep Singh
Mark D. Plumbley
48
1
0
05 Apr 2023
Robotic Perception of Transparent Objects: A Review
Robotic Perception of Transparent Objects: A Review
Jiaqi Jiang
G. Cao
Jiankang Deng
Thanh-Toan Do
Shan Luo
95
32
0
31 Mar 2023
Real-time Controllable Denoising for Image and Video
Real-time Controllable Denoising for Image and Video
Zhaoyang Zhang
Yi Jiang
Wenqi Shao
Xiaogang Wang
Ping Luo
Kaimo Lin
Liang Feng
VGen
58
19
0
29 Mar 2023
Common Subexpression-based Compression and Multiplication of Sparse
  Constant Matrices
Common Subexpression-based Compression and Multiplication of Sparse Constant Matrices
Emre Bilgili
A. Yurdakul
29
0
0
26 Mar 2023
Performance-aware Approximation of Global Channel Pruning for Multitask
  CNNs
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye
Bo Zhang
Tao Chen
Jiayuan Fan
Bin Wang
72
19
0
21 Mar 2023
Protective Self-Adaptive Pruning to Better Compress DNNs
Protective Self-Adaptive Pruning to Better Compress DNNs
Liang Li
Pengfei Zhao
AAML
55
0
0
21 Mar 2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Nived Rajaraman
Devvrit
Aryan Mokhtari
Kannan Ramchandran
65
0
0
20 Mar 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated
  Learning
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
Xiaopeng Jiang
Cristian Borcea
FedML
83
17
0
10 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token
  Halting
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
71
9
0
09 Mar 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu
Tianlong Chen
Zhenyu Zhang
Xuxi Chen
Tianjin Huang
Ajay Jaiswal
Zhangyang Wang
84
28
0
03 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A survey
Yang He
Lingao Xiao
3DPC
120
145
0
01 Mar 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
96
9
0
28 Feb 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models
MUX-PLMs: Data Multiplexing for High-throughput Language Models
Vishvak Murahari
Ameet Deshpande
Carlos E. Jimenez
Izhak Shafran
Mingqiu Wang
Yuan Cao
Karthik Narasimhan
MoE
61
5
0
24 Feb 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Benjamin Vandersmissen
José Oramas
79
1
0
22 Feb 2023
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the
  Edge
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge
Jingzong Li
Yik Hong Cai
Libin Liu
Yushun Mao
Chun Jason Xue
Hongchang Xu
56
4
0
18 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs
Less is More: The Influence of Pruning on the Explainability of CNNs
David Weber
F. Merkle
Pascal Schöttle
Stephan Schlögl
Martin Nocker
FAtt
200
1
0
17 Feb 2023
High-frequency Matters: An Overwriting Attack and defense for
  Image-processing Neural Network Watermarking
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking
Huajie Chen
Tianqing Zhu
Chi Liu
Shui Yu
Wanlei Zhou
AAML
58
3
0
17 Feb 2023
SEAM: Searching Transferable Mixed-Precision Quantization Policy through
  Large Margin Regularization
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Chen Tang
Kai Ouyang
Zenghao Chai
Yunpeng Bai
Yuan Meng
Zhi Wang
Wenwu Zhu
MQ
79
9
0
14 Feb 2023
Bi-directional Masks for Efficient N:M Sparse Training
Bi-directional Masks for Efficient N:M Sparse Training
Yuxin Zhang
Yiting Luo
Mingbao Lin
Mingliang Xu
Jingjing Xie
Yong Li
Rongrong Ji
100
16
0
13 Feb 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
EVC: Towards Real-Time Neural Image Compression with Mask Decay
G. Wang
Jiahao Li
Bin Li
Yan Lu
80
74
0
10 Feb 2023
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model
  Training
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training
Siddharth Singh
A. Bhatele
69
9
0
10 Feb 2023
What Matters In The Structured Pruning of Generative Language Models?
What Matters In The Structured Pruning of Generative Language Models?
Michael Santacroce
Zixin Wen
Yelong Shen
Yuan-Fang Li
88
34
0
07 Feb 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic
  Programming
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
Jinuk Kim
Yeonwoo Jeong
Deokjae Lee
Hyun Oh Song
119
1
0
28 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu
Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
78
1
0
26 Jan 2023
When Layers Play the Lottery, all Tickets Win at Initialization
When Layers Play the Lottery, all Tickets Win at Initialization
Artur Jordão
George Correa de Araujo
H. Maia
Hélio Pedrini
57
4
0
25 Jan 2023
Learning to Linearize Deep Neural Networks for Secure and Efficient
  Private Inference
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
Souvik Kundu
Shun Lu
Yuke Zhang
Jacqueline Liu
Peter A. Beerel
40
29
0
23 Jan 2023
HCE: Improving Performance and Efficiency with Heterogeneously
  Compressed Neural Network Ensemble
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble
Jingchi Zhang
Huanrui Yang
Hai Helen Li
42
1
0
18 Jan 2023
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
163
132
0
17 Jan 2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous
  Structured Pruning for Vision Transformer
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
Miao Yin
Burak Uzkent
Yilin Shen
Hongxia Jin
Bo Yuan
ViT
80
16
0
13 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
103
21
0
12 Jan 2023
A Survey of Face Recognition
A Survey of Face Recognition
Xinyi Wang
Jianteng Peng
Sufang Zhang
Bihui Chen
Yi Wang
Yan-Hua Guo
CVBM
111
0
0
26 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Dan Liu
X. Chen
Chen Ma
Xue Liu
MQ
67
3
0
24 Dec 2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Danyang Liu
Xue Liu
70
0
0
24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization
Hyperspherical Loss-Aware Ternary Quantization
Dan Liu
Xue Liu
MQ
65
0
0
24 Dec 2022
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners
Zitian Chen
Songlin Yang
Mingyu Ding
Zhenfang Chen
Hengshuang Zhao
E. Learned-Miller
Chuang Gan
MoE
43
15
0
15 Dec 2022
PD-Quant: Post-Training Quantization based on Prediction Difference
  Metric
PD-Quant: Post-Training Quantization based on Prediction Difference Metric
Jiawei Liu
Lin Niu
Zhihang Yuan
Dawei Yang
Xinggang Wang
Wenyu Liu
MQ
187
71
0
14 Dec 2022
AP: Selective Activation for De-sparsifying Pruned Neural Networks
AP: Selective Activation for De-sparsifying Pruned Neural Networks
Shiyu Liu
Rohan Ghosh
Dylan Tan
Mehul Motani
AAML
59
0
0
09 Dec 2022
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
79
0
0
09 Dec 2022
Efficient Stein Variational Inference for Reliable Distribution-lossless
  Network Pruning
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Yingchun Wang
Song Guo
Jingcai Guo
Weizhan Zhang
Yi Tian Xu
Jiewei Zhang
Yi Liu
87
17
0
07 Dec 2022
Slimmable Pruned Neural Networks
Slimmable Pruned Neural Networks
Hideaki Kuratsu
Atsuyoshi Nakamura
104
2
0
07 Dec 2022
Are Straight-Through gradients and Soft-Thresholding all you need for
  Sparse Training?
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?
A. Vanderschueren
Christophe De Vleeschouwer
MQ
56
9
0
02 Dec 2022
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera
  Localization
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization
Shitao Tang
Sicong Tang
Andrea Tagliasacchi
Ping Tan
Yasutaka Furukawa
3DPC
64
17
0
21 Nov 2022
RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic
  Basecallers
RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers
Gagandeep Singh
M. Alser
K. Denolf
Can Firtina
Alireza Khodamoradi
Meryem Banu Cavlak
Henk Corporaal
O. Mutlu
65
13
0
06 Nov 2022
Soft Masking for Cost-Constrained Channel Pruning
Soft Masking for Cost-Constrained Channel Pruning
Ryan Humble
Maying Shen
J. Latorre
Eric Darve1
J. Álvarez
54
14
0
04 Nov 2022
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Yonggan Fu
Yang Zhang
Kaizhi Qian
Zhifan Ye
Zhongzhi Yu
Cheng-I Jeff Lai
Yingyan Lin
168
9
0
02 Nov 2022
LightVessel: Exploring Lightweight Coronary Artery Vessel Segmentation
  via Similarity Knowledge Distillation
LightVessel: Exploring Lightweight Coronary Artery Vessel Segmentation via Similarity Knowledge Distillation
Hao Dang
Yuekai Zhang
Xingqun Qi
Wanting Zhou
Muyi Sun
66
2
0
02 Nov 2022
LOFT: Finding Lottery Tickets through Filter-wise Training
LOFT: Finding Lottery Tickets through Filter-wise Training
Qihan Wang
Chen Dun
Fangshuo Liao
C. Jermaine
Anastasios Kyrillidis
69
3
0
28 Oct 2022
LAB: Learnable Activation Binarizer for Binary Neural Networks
LAB: Learnable Activation Binarizer for Binary Neural Networks
Sieger Falkena
Hadi Jamali Rad
Jan van Gemert
MQ
95
3
0
25 Oct 2022
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
84
30
0
25 Oct 2022
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