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Structured Pruning of Deep Convolutional Neural Networks

Structured Pruning of Deep Convolutional Neural Networks

29 December 2015
S. Anwar
Kyuyeon Hwang
Wonyong Sung
ArXiv (abs)PDFHTML

Papers citing "Structured Pruning of Deep Convolutional Neural Networks"

50 / 274 papers shown
Title
A Machine Learning-oriented Survey on Tiny Machine Learning
A Machine Learning-oriented Survey on Tiny Machine LearningIEEE Access (IEEE Access), 2023
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDaMU
326
77
0
21 Sep 2023
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency
  Transformation
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation
Nastaran Darabi
Maeesha Binte Hashem
Hongyi Pan
Ahmet Cetin
Wilfred Gomes
A. R. Trivedi
114
6
0
04 Sep 2023
A Survey on Model Compression for Large Language Models
A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2023
Xunyu Zhu
Jian Li
Yong Liu
Can Ma
Weiping Wang
318
347
0
15 Aug 2023
Unified Data-Free Compression: Pruning and Quantization without
  Fine-Tuning
Unified Data-Free Compression: Pruning and Quantization without Fine-TuningIEEE International Conference on Computer Vision (ICCV), 2023
Shipeng Bai
Jun Chen
Xintian Shen
Yixuan Qian
Yong Liu
MQ
222
21
0
14 Aug 2023
Understanding Activation Patterns in Artificial Neural Networks by
  Exploring Stochastic Processes
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes
S. Lehmler
Muhammad Saif-ur-Rehman
Tobias Glasmachers
Ioannis Iossifidis
148
0
0
01 Aug 2023
Model Compression Methods for YOLOv5: A Review
Model Compression Methods for YOLOv5: A Review
Mohammad Jani
Jamil Fayyad
Younes Al Younes
Homayoun Najjaran
189
26
0
21 Jul 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against
  Model Inversion Attacks
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Shiwei Ding
Lan Zhang
Miao Pan
Xiaoyong Yuan
AAML
193
10
0
20 Jul 2023
UPSCALE: Unconstrained Channel Pruning
UPSCALE: Unconstrained Channel PruningInternational Conference on Machine Learning (ICML), 2023
Alvin Wan
Hanxiang Hao
K. Patnaik
Yueyang Xu
Omer Hadad
David Guera
Zhile Ren
Qi Shan
158
4
0
17 Jul 2023
Leveraging Variational Autoencoders for Parameterized MMSE Estimation
Leveraging Variational Autoencoders for Parameterized MMSE EstimationIEEE Transactions on Signal Processing (IEEE TSP), 2023
Michael Baur
B. Fesl
Wolfgang Utschick
145
17
0
11 Jul 2023
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication
  Kernels
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels
Vikas Natesh
Andrew Sabot
H. T. Kung
Mark Ting
150
2
0
08 Jul 2023
Structured Network Pruning by Measuring Filter-wise Interactions
Structured Network Pruning by Measuring Filter-wise Interactions
Wenting Tang
Xingxing Wei
Yue Liu
158
0
0
03 Jul 2023
Homological Neural Networks: A Sparse Architecture for Multivariate
  Complexity
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
Yuanrong Wang
Antonio Briola
T. Aste
172
8
0
27 Jun 2023
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Adaptive Sharpness-Aware Pruning for Robust Sparse NetworksInternational Conference on Learning Representations (ICLR), 2023
Anna Bair
Hongxu Yin
Maying Shen
Pavlo Molchanov
J. Álvarez
248
17
0
25 Jun 2023
PDP: Parameter-free Differentiable Pruning is All You Need
PDP: Parameter-free Differentiable Pruning is All You NeedNeural Information Processing Systems (NeurIPS), 2023
Minsik Cho
Saurabh N. Adya
Devang Naik
VLM
187
15
0
18 May 2023
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic
  Interpretability
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability
Ziming Liu
Eric Gan
Max Tegmark
228
50
0
04 May 2023
The Disharmony between BN and ReLU Causes Gradient Explosion, but is
  Offset by the Correlation between Activations
The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations
Inyoung Paik
Jaesik Choi
262
2
0
23 Apr 2023
PopSparse: Accelerated block sparse matrix multiplication on IPU
PopSparse: Accelerated block sparse matrix multiplication on IPU
Zhiyi Li
Douglas Orr
V. Ohan
Godfrey Da Costa
Tom Murray
Adam Sanders
D. Beker
Dominic Masters
199
1
0
29 Mar 2023
Tetra-AML: Automatic Machine Learning via Tensor Networks
Tetra-AML: Automatic Machine Learning via Tensor NetworksApplied Sciences (Appl. Sci.), 2023
A. Naumov
Ar. Melnikov
V. Abronin
F. Oxanichenko
K. Izmailov
M. Pflitsch
A. Melnikov
M. Perelshtein
136
13
0
28 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMeOOD
413
102
0
22 Feb 2023
Towards Fairer and More Efficient Federated Learning via
  Multidimensional Personalized Edge Models
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge ModelsIEEE International Joint Conference on Neural Network (IJCNN), 2023
Yingchun Wang
Jingcai Guo
Jie Zhang
Song Guo
Weizhan Zhang
Qinghua Zheng
FedML
346
11
0
09 Feb 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset DistillationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shiye Lei
Dacheng Tao
DD
435
134
0
13 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 TransformerAAAI Conference on Artificial Intelligence (AAAI), 2023
Miao Yin
Burak Uzkent
Yilin Shen
Hongxia Jin
Bo Yuan
ViT
252
20
0
13 Jan 2023
Pruning Compact ConvNets for Efficient Inference
Pruning Compact ConvNets for Efficient Inference
Sayan Ghosh
Karthik Prasad
Xiaoliang Dai
Peizhao Zhang
Bichen Wu
Graham Cormode
Peter Vajda
VLM
178
5
0
11 Jan 2023
Rethinking the Role of Scale for In-Context Learning: An
  Interpretability-based Case Study at 66 Billion Scale
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion ScaleAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Hritik Bansal
Karthik Gopalakrishnan
Saket Dingliwal
S. Bodapati
Katrin Kirchhoff
Dan Roth
LRM
228
63
0
18 Dec 2022
FSCNN: A Fast Sparse Convolution Neural Network Inference System
FSCNN: A Fast Sparse Convolution Neural Network Inference System
Bo Ji
Tianyi Chen
128
3
0
17 Dec 2022
Towards Practical Control of Singular Values of Convolutional Layers
Towards Practical Control of Singular Values of Convolutional LayersNeural Information Processing Systems (NeurIPS), 2022
Alexandra Senderovich
Ekaterina Bulatova
Anton Obukhov
M. Rakhuba
AAML
183
11
0
24 Nov 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Xiaozhi Wang
Kaiyue Wen
Zhengyan Zhang
Lei Hou
Zhiyuan Liu
Juanzi Li
MILMMoE
173
59
0
14 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
178
2
0
14 Nov 2022
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
Chengpeng Chen
Zichao Guo
Haien Zeng
Pengfei Xiong
Jian Dong
190
58
0
11 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs,
  Mobile AI & AIM 2022 challenge: Report
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelbadie Younes
Ganzorig Gankhuyag
...
Jing Liu
Garas Gendy
Nabil Sabor
J. Hou
Guanghui He
SupRMQ
178
37
0
07 Nov 2022
Adapting Neural Models with Sequential Monte Carlo Dropout
Adapting Neural Models with Sequential Monte Carlo DropoutConference on Robot Learning (CoRL), 2022
Pamela Carreno-Medrano
Dana Kulic
Michael G. Burke
209
7
0
27 Oct 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix
  Factorization
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
Alireza Bordbar
M. Kahaei
MQ
237
0
0
24 Oct 2022
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
143
1
0
20 Oct 2022
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge
  Devices
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge DevicesAsia and South Pacific Design Automation Conference (ASP-DAC), 2022
Yimeng Zhang
A. Kamath
Qiucheng Wu
Zhiwen Fan
Wuyang Chen
Zinan Lin
Shiyu Chang
Sijia Liu
Cong Hao
212
6
0
16 Oct 2022
Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors
Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors
Mohammad Reza Taesiri
Finlay Macklon
Yihe Wang
Hengshuo Shen
Cor-Paul Bezemer
ELMLLMAGMLLM
151
20
0
05 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
CRISP: Curriculum based Sequential Neural Decoders for Polar Code FamilyInternational Conference on Machine Learning (ICML), 2022
Ashwin Hebbar
Viraj Nadkarni
Ashok Vardhan Makkuva
S. Bhat
Sewoong Oh
Pramod Viswanath
266
11
0
01 Oct 2022
Sauron U-Net: Simple automated redundancy elimination in medical image
  segmentation via filter pruning
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruningNeurocomputing (Neurocomputing), 2022
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
182
11
0
27 Sep 2022
Building an Efficiency Pipeline: Commutativity and Cumulativeness of
  Efficiency Operators for Transformers
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers
Ji Xin
Raphael Tang
Zhiying Jiang
Yaoliang Yu
Jimmy J. Lin
180
1
0
31 Jul 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for
  Energy-Efficient Low-precision Deep Convolutional Neural Networks
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022
Muhammad Abdullah Hanif
G. M. Sarda
Alberto Marchisio
Guido Masera
Maurizio Martina
Mohamed Bennai
MQ
140
5
0
31 Jul 2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning
DropNet: Reducing Neural Network Complexity via Iterative PruningInternational Conference on Machine Learning (ICML), 2020
Chong Min John Tan
Mehul Motani
153
62
0
14 Jul 2022
A Structured Sparse Neural Network and Its Matrix Calculations Algorithm
A Structured Sparse Neural Network and Its Matrix Calculations Algorithm
S. Sarayi
M. Bahrami
106
0
0
02 Jul 2022
Not All Lotteries Are Made Equal
Not All Lotteries Are Made Equal
Surya Kant Sahu
Sai Mitheran
Somya Suhans Mahapatra
74
1
0
16 Jun 2022
Energy-efficient Deployment of Deep Learning Applications on Cortex-M
  based Microcontrollers using Deep Compression
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep CompressionMethoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV), 2022
M. Deutel
Philipp Woller
Christopher Mutschler
Jürgen Teich
210
4
0
20 May 2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep
  Neural Network, a Survey
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a SurveyArtificial Intelligence Review (Artif Intell Rev), 2022
Paul Wimmer
Jens Mehnert
Alexandru Paul Condurache
DD
317
33
0
17 May 2022
A Comprehensive Survey on Model Quantization for Deep Neural Networks in
  Image Classification
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image ClassificationACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Babak Rokh
A. Azarpeyvand
Alireza Khanteymoori
MQ
385
169
0
14 May 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
197
107
0
11 May 2022
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep
  Convolutional Neural Networks
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep Convolutional Neural Networks
Zhaofeng Si
H. Qi
Xiaoyu Song
CVBM
178
0
0
07 May 2022
Triangular Dropout: Variable Network Width without Retraining
Triangular Dropout: Variable Network Width without Retraining
Edward W. Staley
Jared Markowitz
149
3
0
02 May 2022
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network
  Accelerator
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator
Miao Yu
Tingting Xiang
Venkata Pavan Kumar Miriyala
Trevor E. Carlson
176
1
0
20 Apr 2022
End-to-End Sensitivity-Based Filter Pruning
End-to-End Sensitivity-Based Filter Pruning
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
AAML
118
2
0
15 Apr 2022
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