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PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

30 April 2015
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
ArXivPDFHTML

Papers citing "PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions"

25 / 25 papers shown
Title
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
Yash Akhauri
Ahmed F. AbouElhamayed
Jordan Dotzel
Zhiru Zhang
Alexander M Rush
Safeen Huda
Mohamed S. Abdelfattah
20
2
0
24 Jun 2024
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Jou-An Chen
Wei Niu
Bin Ren
Yanzhi Wang
Xipeng Shen
23
24
0
29 Aug 2022
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs
D. Pinto
J. Arnau
Antonio González
31
1
0
10 Feb 2022
PnP-DETR: Towards Efficient Visual Analysis with Transformers
PnP-DETR: Towards Efficient Visual Analysis with Transformers
Tao Wang
Li Yuan
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
ViT
24
82
0
15 Sep 2021
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Kuldeep Purohit
Maitreya Suin
A. N. Rajagopalan
Vishnu Naresh Boddeti
15
116
0
19 Aug 2021
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small
  Object Detection
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
Chenhongyi Yang
Zehao Huang
Naiyan Wang
ObjD
30
225
0
16 Mar 2021
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time
  Segmentation
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
Thomas Verelst
Tinne Tuytelaars
SSeg
10
16
0
24 Nov 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional
  Neural Network
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
P. Tichavský
Valeriy Glukhov
Ivan V. Oseledets
A. Cichocki
BDL
19
128
0
12 Aug 2020
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
D. Marin
Zijian He
Peter Vajda
Priyam Chatterjee
Sam S. Tsai
Fei Yang
Yuri Boykov
SSeg
16
87
0
16 Jul 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and
  Object Detection
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
Zhuo Chen
Jiyuan Zhang
Ruizhou Ding
Diana Marculescu
13
12
0
19 Jun 2019
Dynamic Neural Network Channel Execution for Efficient Training
Dynamic Neural Network Channel Execution for Efficient Training
Simeon E. Spasov
Pietro Lió
13
4
0
15 May 2019
Efficient Structured Pruning and Architecture Searching for Group
  Convolution
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
37
16
0
23 Nov 2018
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
L. Dudziak
Robert D. Mullins
Chengzhong Xu
16
311
0
12 Oct 2018
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
Boyuan Feng
Kun Wan
Shu Yang
Yufei Ding
28
4
0
07 Sep 2018
Insights on representational similarity in neural networks with
  canonical correlation
Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos
M. Raghu
Samy Bengio
DRL
30
429
0
14 Jun 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
13
180
0
29 May 2018
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
30
70
0
23 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
30
795
0
16 Nov 2017
Dynamic Zoom-in Network for Fast Object Detection in Large Images
Dynamic Zoom-in Network for Fast Object Detection in Large Images
M. Gao
Ruichi Yu
Ang Li
Vlad I. Morariu
L. Davis
ObjD
33
129
0
14 Nov 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
27
823
0
22 Aug 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
18
288
0
25 Mar 2017
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
37
190
0
10 Nov 2016
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
27
46
0
09 Jun 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
36
447
0
08 Jun 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
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