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Fast ConvNets Using Group-wise Brain Damage

Fast ConvNets Using Group-wise Brain Damage

8 June 2015
V. Lebedev
Victor Lempitsky
    AAML
ArXivPDFHTML

Papers citing "Fast ConvNets Using Group-wise Brain Damage"

50 / 63 papers shown
Title
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Muhammad Shafique
K. Pekmestzi
Dimitrios Soudris
34
3
0
20 Jul 2023
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
F. I. F. Richard Yu
Xianglong Liu
MQ
AAML
34
36
0
26 Jan 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and
  Linear Regions
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
Junyang Cai
Khai-Nguyen Nguyen
Nishant Shrestha
Aidan Good
Ruisen Tu
Xin Yu
Shandian Zhe
Thiago Serra
MLT
37
7
0
19 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of
  Quantized CNNs
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
18
1
0
15 Jan 2023
The Effect of Data Dimensionality on Neural Network Prunability
The Effect of Data Dimensionality on Neural Network Prunability
Zachary Ankner
Alex Renda
Gintare Karolina Dziugaite
Jonathan Frankle
Tian Jin
28
5
0
01 Dec 2022
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
32
1
0
14 Nov 2022
Sequential Attention for Feature Selection
Sequential Attention for Feature Selection
T. Yasuda
M. Bateni
Lin Chen
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
39
11
0
29 Sep 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
23
20
0
09 Aug 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
27
432
0
19 Jul 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang
Jianfei Chen
Chongxuan Li
Jun Zhu
Bo Zhang
MQ
19
7
0
17 Jun 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
34
11
0
07 Jun 2022
Canonical convolutional neural networks
Canonical convolutional neural networks
Lokesh Veeramacheneni
Moritz Wolter
Reinhard Klein
Jochen Garcke
18
3
0
03 Jun 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Jing Yang
Xiatian Zhu
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
31
7
0
13 May 2022
Blueprint Separable Residual Network for Efficient Image
  Super-Resolution
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Zheyu Li
Yingqi Liu
Xiangyu Chen
Haoming Cai
Jinjin Gu
Yu Qiao
Chao Dong
27
131
0
12 May 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
42
48
0
09 Mar 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Konstantin Ditschuneit
Johannes Otterbach
21
5
0
26 Jan 2022
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded
  Systems
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems
Priyank Kalgaonkar
M. El-Sharkawy
3DH
17
5
0
01 Dec 2021
Self-Compression in Bayesian Neural Networks
Self-Compression in Bayesian Neural Networks
Giuseppina Carannante
Dimah Dera
Ghulam Rasool
N. Bouaynaya
UQCV
BDL
28
5
0
10 Nov 2021
Neural Network Pruning Through Constrained Reinforcement Learning
Neural Network Pruning Through Constrained Reinforcement Learning
Shehryar Malik
Muhammad Umair Haider
O. Iqbal
M. Taj
32
0
0
16 Oct 2021
Neural network relief: a pruning algorithm based on neural activity
Neural network relief: a pruning algorithm based on neural activity
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
46
10
0
22 Sep 2021
Group Fisher Pruning for Practical Network Compression
Group Fisher Pruning for Practical Network Compression
Liyang Liu
Shilong Zhang
Zhanghui Kuang
Aojun Zhou
Jingliang Xue
Xinjiang Wang
Yimin Chen
Wenming Yang
Q. Liao
Wayne Zhang
25
146
0
02 Aug 2021
Double Similarity Distillation for Semantic Image Segmentation
Double Similarity Distillation for Semantic Image Segmentation
Yingchao Feng
Xian Sun
Wenhui Diao
Jihao Li
Xin Gao
24
62
0
19 Jul 2021
Patch Slimming for Efficient Vision Transformers
Patch Slimming for Efficient Vision Transformers
Yehui Tang
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chao Xu
Dacheng Tao
ViT
16
163
0
05 Jun 2021
Distributed Learning in Wireless Networks: Recent Progress and Future
  Challenges
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
38
401
0
05 Apr 2021
CDFI: Compression-Driven Network Design for Frame Interpolation
CDFI: Compression-Driven Network Design for Frame Interpolation
Tianyu Ding
Luming Liang
Zhihui Zhu
Ilya Zharkov
19
93
0
18 Mar 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured
  Sparsity in Neural Networks
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Enzo Tartaglione
Andrea Bragagnolo
Francesco Odierna
A. Fiandrotti
Marco Grangetto
40
18
0
07 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
141
674
0
24 Jan 2021
Training Sparse Neural Networks using Compressed Sensing
Training Sparse Neural Networks using Compressed Sensing
Jonathan W. Siegel
Jianhong Chen
Pengchuan Zhang
Jinchao Xu
26
5
0
21 Aug 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
45
98
0
05 Jun 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge
  Applications: A Survey
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
3DPC
MedIm
22
52
0
08 May 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
50
457
0
31 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron
  Trimming
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Madan Ravi Ganesh
Jason J. Corso
S. Y. Sekeh
MQ
35
15
0
18 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
17
326
0
22 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the
  Wild
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
28
22
0
29 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with
  Pattern-based Weight Pruning
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning
Wei Niu
Xiaolong Ma
Sheng Lin
Shihao Wang
Xuehai Qian
X. Lin
Yanzhi Wang
Bin Ren
MQ
18
226
0
01 Jan 2020
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
19
141
0
02 Nov 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in
  Efficient Convolutional Neural Networks
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He
Jianing Qian
Jianren Wang
Cindy X. Le
Congrui Hetang
Qi Lyu
Wenping Wang
Tianwei Yue
45
11
0
21 Oct 2019
Implicit Deep Learning
Implicit Deep Learning
L. Ghaoui
Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
AI4CE
34
176
0
17 Aug 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
16
11
0
13 Jul 2019
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
10
857
0
25 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
16
6
0
12 Jun 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
  Networks
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li
Q. Qi
Jingyu Wang
Ce Ge
Yujian Betterest Li
Zhangzhang Yue
Haifeng Sun
BDL
CML
19
53
0
28 May 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by
  Dynamic Sparse Reparameterization
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Hesham Mostafa
Xin Wang
29
307
0
15 Feb 2019
Reliable Identification of Redundant Kernels for Convolutional Neural
  Network Compression
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Wei Wang
Liqiang Zhu
CVBM
20
13
0
10 Dec 2018
Dense xUnit Networks
Dense xUnit Networks
I. Kligvasser
T. Michaeli
18
3
0
27 Nov 2018
Efficient Structured Pruning and Architecture Searching for Group
  Convolution
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
42
16
0
23 Nov 2018
Three Dimensional Convolutional Neural Network Pruning with
  Regularization-Based Method
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
Yu-xin Zhang
Huan Wang
Yang Luo
Lu Yu
Roland Hu
Hangguan Shan
Tony Q. S. Quek
3DPC
18
11
0
19 Nov 2018
A First Look at Deep Learning Apps on Smartphones
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu
Jiawei Liu
Yuanqiang Liu
F. Lin
Yunxin Liu
Xuanzhe Liu
HAI
25
177
0
08 Nov 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
10
1,449
0
11 Oct 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation
  Functions
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions
Jinhyeok Jang
Hyunjoong Cho
Jaehong Kim
Jaeyeon Lee
Seungjoon Yang
18
2
0
11 Sep 2018
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