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Pruning Filters for Efficient ConvNets
v1v2v3 (latest)

Pruning Filters for Efficient ConvNets

31 August 2016
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,596 papers shown
Title
Vision Transformer Compression with Structured Pruning and Low Rank
  Approximation
Vision Transformer Compression with Structured Pruning and Low Rank Approximation
Ankur Kumar
ViT
38
6
0
25 Mar 2022
Exploring Linear Feature Disentanglement For Neural Networks
Exploring Linear Feature Disentanglement For Neural Networks
Tiantian He
Zhibin Li
Yongshun Gong
Yazhou Yao
Xiushan Nie
Yilong Yin
AAML
48
3
0
22 Mar 2022
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
Brian Chmiel
Itay Hubara
Ron Banner
Daniel Soudry
95
9
0
21 Mar 2022
Online Continual Learning for Embedded Devices
Online Continual Learning for Embedded Devices
Tyler L. Hayes
Christopher Kanan
CLL
96
56
0
21 Mar 2022
Adversarial Parameter Attack on Deep Neural Networks
Adversarial Parameter Attack on Deep Neural Networks
Lijia Yu
Yihan Wang
Xiao-Shan Gao
AAML
76
8
0
20 Mar 2022
Towards Device Efficient Conditional Image Generation
Towards Device Efficient Conditional Image Generation
Nisarg A. Shah
Gaurav Bharaj
99
3
0
19 Mar 2022
Delta Distillation for Efficient Video Processing
Delta Distillation for Efficient Video Processing
A. Habibian
H. Yahia
Davide Abati
E. Gavves
Fatih Porikli
36
12
0
17 Mar 2022
Complexity Reduction of Learned In-Loop Filtering in Video Coding
Complexity Reduction of Learned In-Loop Filtering in Video Coding
Woody Bayliss
L. Murn
E. Izquierdo
Qianni Zhang
M. Mrak
36
0
0
16 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
35
5
0
16 Mar 2022
Unified Visual Transformer Compression
Unified Visual Transformer Compression
Shixing Yu
Tianlong Chen
Jiayi Shen
Huan Yuan
Jianchao Tan
Sen Yang
Ji Liu
Zhangyang Wang
ViT
92
94
0
15 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model
  Improvement
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Leander Weber
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
109
103
0
15 Mar 2022
Interspace Pruning: Using Adaptive Filter Representations to Improve
  Training of Sparse CNNs
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs
Paul Wimmer
Jens Mehnert
Alexandru Paul Condurache
CVBM
62
20
0
15 Mar 2022
Improve Convolutional Neural Network Pruning by Maximizing Filter
  Variety
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
88
2
0
11 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi
Suraj Srinivas
Simon Lacoste-Julien
81
18
0
09 Mar 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
55
18
0
09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
95
49
0
09 Mar 2022
Dual Lottery Ticket Hypothesis
Dual Lottery Ticket Hypothesis
Yue Bai
Haiquan Wang
Zhiqiang Tao
Kunpeng Li
Yun Fu
78
40
0
08 Mar 2022
YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
70
13
0
08 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
65
15
0
07 Mar 2022
Differentially Private Federated Learning with Local Regularization and
  Sparsification
Differentially Private Federated Learning with Local Regularization and Sparsification
Anda Cheng
Peisong Wang
Xi Sheryl Zhang
Jian Cheng
FedML
77
77
0
07 Mar 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
96
15
0
04 Mar 2022
Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in
  CNN
Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN
Harish Agrawal
T. Sumana
S. Nandy
30
0
0
26 Feb 2022
Extracting Effective Subnetworks with Gumbel-Softmax
Extracting Effective Subnetworks with Gumbel-Softmax
Robin Dupont
M. Alaoui
H. Sahbi
A. Lebois
39
6
0
25 Feb 2022
Optimal channel selection with discrete QCQP
Optimal channel selection with discrete QCQP
Yeonwoo Jeong
Deokjae Lee
Gaon An
Changyong Son
Hyun Oh Song
50
1
0
24 Feb 2022
Distilled Neural Networks for Efficient Learning to Rank
Distilled Neural Networks for Efficient Learning to Rank
F. M. Nardini
Cosimo Rulli
Salvatore Trani
Rossano Venturini
FedML
55
16
0
22 Feb 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and
  Class Labels
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
99
39
0
22 Feb 2022
Amenable Sparse Network Investigator
Amenable Sparse Network Investigator
S. Damadi
Erfan Nouri
Hamed Pirsiavash
26
4
0
18 Feb 2022
When, where, and how to add new neurons to ANNs
When, where, and how to add new neurons to ANNs
Kaitlin Maile
Emmanuel Rachelson
H. Luga
Dennis G. Wilson
70
16
0
17 Feb 2022
Practical Network Acceleration with Tiny Sets
Practical Network Acceleration with Tiny Sets
G. Wang
Jianxin Wu
95
11
0
16 Feb 2022
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural
  Networks
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
Jiachen Zhong
Junying Chen
Ajmal Mian
46
63
0
15 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
Yuxin Zhang
Ling Shao
Chia-Wen Lin
Rongrong Ji
80
53
0
15 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi
Pengfei Zheng
Adam Ding
Yuan Gao
Weizhong Zhang
AAML
73
1
0
14 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks
Deadwooding: Robust Global Pruning for Deep Neural Networks
Sawinder Kaur
Ferdinando Fioretto
Asif Salekin
71
4
0
10 Feb 2022
Quantization in Layer's Input is Matter
Quantization in Layer's Input is Matter
Daning Cheng
Wenguang Chen
MQ
38
0
0
10 Feb 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Tianlong Chen
Xuxi Chen
Xiaolong Ma
Yanzhi Wang
Zhangyang Wang
82
34
0
09 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning
Membership Inference Attacks and Defenses in Neural Network Pruning
Xiaoyong Yuan
Lan Zhang
AAML
112
45
0
07 Feb 2022
Selective Network Linearization for Efficient Private Inference
Selective Network Linearization for Efficient Private Inference
Minsu Cho
Ameya Joshi
S. Garg
Brandon Reagen
Chinmay Hegde
88
43
0
04 Feb 2022
Cyclical Pruning for Sparse Neural Networks
Cyclical Pruning for Sparse Neural Networks
Suraj Srinivas
Andrey Kuzmin
Markus Nagel
M. V. Baalen
Andrii Skliar
Tijmen Blankevoort
96
13
0
02 Feb 2022
Automotive Parts Assessment: Applying Real-time Instance-Segmentation
  Models to Identify Vehicle Parts
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts
S. Yusuf
Abdulmalik Aldawsari
R. Souissi
103
3
0
02 Feb 2022
Accelerating DNN Training with Structured Data Gradient Pruning
Accelerating DNN Training with Structured Data Gradient Pruning
Bradley McDanel
Helia Dinh
J. Magallanes
79
8
0
01 Feb 2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces
  Low-Rank?
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Sheikh Shams Azam
Seyyedali Hosseinalipour
Qiang Qiu
Christopher G. Brinton
FedML
101
21
0
01 Feb 2022
Signing the Supermask: Keep, Hide, Invert
Signing the Supermask: Keep, Hide, Invert
Nils Koster
O. Grothe
Achim Rettinger
93
12
0
31 Jan 2022
SPDY: Accurate Pruning with Speedup Guarantees
SPDY: Accurate Pruning with Speedup Guarantees
Elias Frantar
Dan Alistarh
81
37
0
31 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary
  Adaptive Online Model Pruning
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
84
7
0
27 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Tianshuo Cong
Xinlei He
Yang Zhang
92
55
0
27 Jan 2022
On The Energy Statistics of Feature Maps in Pruning of Neural Networks
  with Skip-Connections
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections
Mohammadreza Soltani
Suya Wu
Yuerong Li
Jie Ding
Vahid Tarokh
3DPC
41
0
0
26 Jan 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Konstantin Ditschuneit
Johannes Otterbach
51
5
0
26 Jan 2022
Iterative Activation-based Structured Pruning
Iterative Activation-based Structured Pruning
Kaiqi Zhao
Animesh Jain
Ming Zhao
67
0
0
22 Jan 2022
Enabling Deep Learning on Edge Devices through Filter Pruning and
  Knowledge Transfer
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer
Kaiqi Zhao
Yitao Chen
Ming Zhao
42
3
0
22 Jan 2022
Adaptive Activation-based Structured Pruning
Adaptive Activation-based Structured Pruning
Kaiqi Zhao
Animesh Jain
Ming Zhao
64
1
0
21 Jan 2022
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