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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
ArXivPDFHTML

Papers citing "Structured Pruning of Deep Convolutional Neural Networks"

50 / 92 papers shown
Title
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
Sanjay Surendranath Girija
Shashank Kapoor
Lakshit Arora
Dipen Pradhan
Aman Raj
Ankit Shetgaonkar
57
0
0
05 May 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
Nikolaos Kaparinos
Vasileios Mezaris
CVBM
55
0
0
28 Jan 2025
Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future
Qingwen Zeng
Hanlin Xu
Nanjun Xu
Flora Salim
Junbin Gao
Huaming Chen
34
0
0
28 Jan 2025
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for
  Low-Memory GPUs
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for Low-Memory GPUs
Wei Zhong
Manasa Bharadwaj
47
5
0
30 May 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for
  Large Language Models
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
Amit Dhurandhar
Tejaswini Pedapati
Ronny Luss
Soham Dan
Aurélie C. Lozano
Payel Das
Georgios Kollias
22
3
0
28 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
44
0
0
27 Feb 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Lucio Dery
Steven Kolawole
Jean-Francois Kagey
Virginia Smith
Graham Neubig
Ameet Talwalkar
44
28
0
08 Feb 2024
Fluctuation-based Adaptive Structured Pruning for Large Language Models
Fluctuation-based Adaptive Structured Pruning for Large Language Models
Yongqi An
Xu Zhao
Tao Yu
Ming Tang
Jinqiao Wang
36
42
0
19 Dec 2023
Polynomially Over-Parameterized Convolutional Neural Networks Contain
  Structured Strong Winning Lottery Tickets
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
A. D. Cunha
Francesco d’Amore
Emanuele Natale
MLT
27
1
0
16 Nov 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
27
0
0
01 Aug 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
26
36
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
18
0
0
23 Apr 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
E. Ponti
MoMe
OOD
32
73
0
22 Feb 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
31
88
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 Transformer
Miao Yin
Burak Uzkent
Yilin Shen
Hongxia Jin
Bo Yuan
ViT
29
13
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
19
4
0
11 Jan 2023
FSCNN: A Fast Sparse Convolution Neural Network Inference System
FSCNN: A Fast Sparse Convolution Neural Network Inference System
Bo Ji
Tianyi Chen
26
3
0
17 Dec 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Xiaozhi Wang
Kaiyue Wen
Zhengyan Zhang
Lei Hou
Zhiyuan Liu
Juanzi Li
MILM
MoE
27
50
0
14 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
35
1
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
26
37
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
SupR
MQ
23
31
0
07 Nov 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
33
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
22
0
0
20 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
C. Bezemer
ELM
LLMAG
MLLM
44
13
0
05 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
Ashwin Hebbar
Viraj Nadkarni
Ashok Vardhan Makkuva
S. Bhat
Sewoong Oh
Pramod Viswanath
30
6
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 pruning
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
29
5
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
18
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 Networks
Muhammad Abdullah Hanif
G. M. Sarda
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
MQ
22
4
0
31 Jul 2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning
DropNet: Reducing Neural Network Complexity via Iterative Pruning
Chong Min John Tan
Mehul Motani
26
52
0
14 Jul 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
24
81
0
11 May 2022
Triangular Dropout: Variable Network Width without Retraining
Triangular Dropout: Variable Network Width without Retraining
Edward W. Staley
Jared Markowitz
28
2
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
20
1
0
20 Apr 2022
Delta Keyword Transformer: Bringing Transformers to the Edge through
  Dynamically Pruned Multi-Head Self-Attention
Delta Keyword Transformer: Bringing Transformers to the Edge through Dynamically Pruned Multi-Head Self-Attention
Zuzana Jelčicová
Marian Verhelst
28
5
0
20 Mar 2022
S-Rocket: Selective Random Convolution Kernels for Time Series
  Classification
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad
Yang Wang
Yuanhao Yu
Jingshan Tang
S. Valaee
AI4TS
36
15
0
07 Mar 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
30
1
0
13 Jan 2022
An Experimental Study of the Impact of Pre-training on the Pruning of a
  Convolutional Neural Network
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
VLM
CVBM
23
8
0
15 Dec 2021
Self-Compression in Bayesian Neural Networks
Self-Compression in Bayesian Neural Networks
Giuseppina Carannante
Dimah Dera
Ghulam Rasool
N. Bouaynaya
UQCV
BDL
33
5
0
10 Nov 2021
Gabor filter incorporated CNN for compression
Gabor filter incorporated CNN for compression
Akihiro Imamura
N. Arizumi
CVBM
28
2
0
29 Oct 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
22
18
0
15 Oct 2021
Prune Your Model Before Distill It
Prune Your Model Before Distill It
Jinhyuk Park
Albert No
VLM
46
27
0
30 Sep 2021
Layer-wise Model Pruning based on Mutual Information
Layer-wise Model Pruning based on Mutual Information
Chun Fan
Jiwei Li
Xiang Ao
Fei Wu
Yuxian Meng
Xiaofei Sun
46
19
0
28 Aug 2021
MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated
  Edge Inference
MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference
J. Farley
A. Gerstlauer
FedML
28
5
0
14 Jul 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
23
366
0
16 Jun 2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
MQ
20
116
0
27 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search
  and Hyperparameter Optimization
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
Julia Guerrero-Viu
Sven Hauns
Sergio Izquierdo
Guilherme Miotto
Simon Schrodi
André Biedenkapp
T. Elsken
Difan Deng
Marius Lindauer
Frank Hutter
AI4CE
17
25
0
03 May 2021
Environmental Sound Classification on the Edge: A Pipeline for Deep
  Acoustic Networks on Extremely Resource-Constrained Devices
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
Md Mohaimenuzzaman
Christoph Bergmeir
I. West
B. Meyer
17
41
0
05 Mar 2021
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
P. Bajcsy
Michael Majurski
AAML
34
8
0
22 Jan 2021
NetCut: Real-Time DNN Inference Using Layer Removal
NetCut: Real-Time DNN Inference Using Layer Removal
Mehrshad Zandigohar
Deniz Erdogmus
G. Schirner
17
5
0
13 Jan 2021
Parallel Blockwise Knowledge Distillation for Deep Neural Network
  Compression
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression
Cody Blakeney
Xiaomin Li
Yan Yan
Ziliang Zong
46
39
0
05 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
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