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Operation-Aware Soft Channel Pruning using Differentiable Masks

Operation-Aware Soft Channel Pruning using Differentiable Masks

8 July 2020
Minsoo Kang
Bohyung Han
    AAML
ArXivPDFHTML

Papers citing "Operation-Aware Soft Channel Pruning using Differentiable Masks"

50 / 70 papers shown
Title
Advancing Weight and Channel Sparsification with Enhanced Saliency
Advancing Weight and Channel Sparsification with Enhanced Saliency
Xinglong Sun
Maying Shen
Hongxu Yin
Lei Mao
Pavlo Molchanov
Jose M. Alvarez
46
1
0
05 Feb 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
G. Calafiore
40
1
0
19 Jan 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using
  Reinforcement Learning and Graph Learning
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing
Jianpeng Qi
Junyu Dong
Yanwei Yu
3DPC
AI4CE
39
0
0
24 Dec 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in
  Pruning
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
Weihao Lin
Shengji Tang
Chong Yu
Peng Ye
Tao Chen
16
0
0
09 Oct 2024
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
Kiran Purohit
Anurag Parvathgari
Sourangshu Bhattacharya
VLM
30
0
0
22 Aug 2024
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure
Minghao Yang
Linlin Gao
Pengyuan Li
Wenbo Li
Yihong Dong
Zhiying Cui
34
1
0
06 Jun 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
52
48
0
08 Apr 2024
Separate, Dynamic and Differentiable (SMART) Pruner for Block/Output
  Channel Pruning on Computer Vision Tasks
Separate, Dynamic and Differentiable (SMART) Pruner for Block/Output Channel Pruning on Computer Vision Tasks
Guanhua Ding
Zexi Ye
Zhen Zhong
Gang Li
David Shao
34
0
0
29 Mar 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and
  Alignment
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
36
5
0
28 Mar 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning
  from Scratch
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
Xidong Wu
Shangqian Gao
Zeyu Zhang
Zhenzhen Li
Runxue Bao
Yanfu Zhang
Xiaoqian Wang
Heng-Chiao Huang
27
7
0
21 Mar 2024
REPrune: Channel Pruning via Kernel Representative Selection
REPrune: Channel Pruning via Kernel Representative Selection
Mincheol Park
Dongjin Kim
Cheonjun Park
Yuna Park
Gyeong Eun Gong
Won Woo Ro
Suhyun Kim
VLM
36
1
0
27 Feb 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
T. Yasuda
Kyriakos Axiotis
Gang Fu
M. Bateni
Vahab Mirrokni
39
0
0
27 Feb 2024
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient
  Sparsity Allocation
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
Peng-Tao Xu
Wenqi Shao
Mengzhao Chen
Shitao Tang
Kai-Chuang Zhang
Peng Gao
Fengwei An
Yu Qiao
Ping Luo
MoE
27
27
0
18 Feb 2024
OTOv3: Automatic Architecture-Agnostic Neural Network Training and
  Compression from Structured Pruning to Erasing Operators
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators
Tianyi Chen
Tianyu Ding
Zhihui Zhu
Zeyu Chen
HsiangTao Wu
Ilya Zharkov
Luming Liang
16
3
0
15 Dec 2023
Class-Aware Pruning for Efficient Neural Networks
Class-Aware Pruning for Efficient Neural Networks
Mengnan Jiang
Jingcun Wang
Amro Eldebiky
Xunzhao Yin
Cheng Zhuo
Ing-Chao Lin
Grace Li Zhang
AAML
14
7
0
10 Dec 2023
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading
  Acceleration
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration
Jingyang Xiang
Siqi Li
Jun Chen
Shipeng Bai
Yukai Ma
Guang Dai
Yong-Jin Liu
24
1
0
10 Oct 2023
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
Hugo Tessier
Ghouti Boukli Hacene
Vincent Gripon
16
1
0
22 Sep 2023
A Differentiable Framework for End-to-End Learning of Hybrid Structured
  Compression
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Moonjung Eo
Suhyun Kang
Wonjong Rhee
22
1
0
21 Sep 2023
Influence Function Based Second-Order Channel Pruning-Evaluating True
  Loss Changes For Pruning Is Possible Without Retraining
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining
Hongrong Cheng
Miao Zhang
Javen Qinfeng Shi
AAML
20
1
0
13 Aug 2023
Differentiable Transportation Pruning
Differentiable Transportation Pruning
Yun-qiang Li
J. C. V. Gemert
Torsten Hoefler
Bert Moons
E. Eleftheriou
Bram-Ernst Verhoef
OT
22
7
0
17 Jul 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential
  Filter Sampler
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
Shaohui Lin
Wenxuan Huang
Jiao Xie
Baochang Zhang
Yunhang Shen
Zhou Yu
Jungong Han
David Doermann
20
2
0
01 Jul 2023
DiffRate : Differentiable Compression Rate for Efficient Vision
  Transformers
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
Mengzhao Chen
Wenqi Shao
Peng Xu
Mingbao Lin
Kaipeng Zhang
Fei Chao
Rongrong Ji
Yu Qiao
Ping Luo
ViT
34
43
0
29 May 2023
PDP: Parameter-free Differentiable Pruning is All You Need
PDP: Parameter-free Differentiable Pruning is All You Need
Minsik Cho
Saurabh N. Adya
Devang Naik
VLM
15
10
0
18 May 2023
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
28
19
0
06 Apr 2023
Information-Theoretic GAN Compression with Variational Energy-based
  Model
Information-Theoretic GAN Compression with Variational Energy-based Model
Minsoo Kang
Hyewon Yoo
Eunhee Kang
Sehwan Ki
Hyong-Euk Lee
Bohyung Han
GAN
20
3
0
28 Mar 2023
Protective Self-Adaptive Pruning to Better Compress DNNs
Protective Self-Adaptive Pruning to Better Compress DNNs
Liang Li
Pengfei Zhao
AAML
16
0
0
21 Mar 2023
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
19
9
0
14 Mar 2023
OTOV2: Automatic, Generic, User-Friendly
OTOV2: Automatic, Generic, User-Friendly
Tianyi Chen
Luming Liang
Tian Ding
Zhihui Zhu
Ilya Zharkov
VLM
MQ
40
31
0
13 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
28
116
0
01 Mar 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
32
9
0
28 Feb 2023
Soft Masking for Cost-Constrained Channel Pruning
Soft Masking for Cost-Constrained Channel Pruning
Ryan Humble
Maying Shen
J. Latorre
Eric Darve1
J. Álvarez
14
13
0
04 Nov 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
38
22
0
18 Sep 2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for
  Source-Relaxed Medical Image Segmentation
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Xiaofeng Liu
Fangxu Xing
G. El Fakhri
Jonghye Woo
OOD
37
30
0
16 Sep 2022
CWP: Instance complexity weighted channel-wise soft masks for network
  pruning
CWP: Instance complexity weighted channel-wise soft masks for network pruning
Jiapeng Wang
Ming Ma
Zhenhua Yu
11
0
0
08 Sep 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency
  Maps
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
FAtt
AAML
19
19
0
07 Sep 2022
Network Pruning via Feature Shift Minimization
Network Pruning via Feature Shift Minimization
Y. Duan
Yue Zhou
Peng He
Qiang Liu
Shukai Duan
Xiaofang Hu
18
4
0
06 Jul 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
28
18
0
02 Jun 2022
Pooling Revisited: Your Receptive Field is Suboptimal
Pooling Revisited: Your Receptive Field is Suboptimal
Dong-Hwan Jang
Sanghyeok Chu
Joonhyuk Kim
Bohyung Han
22
11
0
30 May 2022
Online Hybrid Lightweight Representations Learning: Its Application to
  Visual Tracking
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung
Minji Kim
Eunhyeok Park
Bohyung Han
13
3
0
23 May 2022
Attentive Fine-Grained Structured Sparsity for Image Restoration
Attentive Fine-Grained Structured Sparsity for Image Restoration
Junghun Oh
Heewon Kim
Seungjun Nah
Chee Hong
Jonghyun Choi
Kyoung Mu Lee
19
18
0
26 Apr 2022
CHEX: CHannel EXploration for CNN Model Compression
CHEX: CHannel EXploration for CNN Model Compression
Zejiang Hou
Minghai Qin
Fei Sun
Xiaolong Ma
Kun Yuan
Yi Xu
Yen-kuang Chen
Rong Jin
Yuan Xie
S. Kung
13
71
0
29 Mar 2022
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for
  Large-Scale Conditional GANs Compression
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression
D. Vo
Akihiro Sugimoto
Hideki Nakayama
13
5
0
16 Mar 2022
Optimal channel selection with discrete QCQP
Optimal channel selection with discrete QCQP
Yeonwoo Jeong
Deokjae Lee
Gaon An
Changyong Son
Hyun Oh Song
11
1
0
24 Feb 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Mingbao Lin
Liujuan Cao
Yu-xin Zhang
Ling Shao
Chia-Wen Lin
Rongrong Ji
16
51
0
15 Feb 2022
Adaptive Activation-based Structured Pruning
Adaptive Activation-based Structured Pruning
Kaiqi Zhao
Animesh Jain
Ming Zhao
16
1
0
21 Jan 2022
Automatic Sparse Connectivity Learning for Neural Networks
Automatic Sparse Connectivity Learning for Neural Networks
Zhimin Tang
Linkai Luo
Bike Xie
Yiyu Zhu
Rujie Zhao
Lvqing Bi
Chao Lu
24
40
0
13 Jan 2022
Recursive Least Squares for Training and Pruning Convolutional Neural
  Networks
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Tianzong Yu
Chunyuan Zhang
Yuan Wang
Meng-tao Ma
Qingwei Song
22
1
0
13 Jan 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous
  Optimization Space
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
Arnav Chavan
Zhiqiang Shen
Zhuang Liu
Zechun Liu
Kwang-Ting Cheng
Eric P. Xing
ViT
25
70
0
03 Jan 2022
Batch Normalization Tells You Which Filter is Important
Batch Normalization Tells You Which Filter is Important
Junghun Oh
Heewon Kim
Sungyong Baik
Chee Hong
Kyoung Mu Lee
CVBM
21
8
0
02 Dec 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model
  Accuracy
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy
Thibault Castells
Seul-Ki Yeom
3DV
16
3
0
18 Nov 2021
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