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A Closer Look at Branch Classifiers of Multi-exit Architectures

A Closer Look at Branch Classifiers of Multi-exit Architectures

28 April 2022
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
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Papers citing "A Closer Look at Branch Classifiers of Multi-exit Architectures"

14 / 14 papers shown
Title
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
60
638
0
09 Feb 2021
Improved Techniques for Training Adaptive Deep Networks
Improved Techniques for Training Adaptive Deep Networks
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
59
132
0
17 Aug 2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching
Highlight Every Step: Knowledge Distillation via Collaborative Teaching
Haoran Zhao
Xin Sun
Junyu Dong
Changrui Chen
Zihe Dong
50
58
0
23 Jul 2019
Budgeted Training: Rethinking Deep Neural Network Training Under
  Resource Constraints
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
Mengtian Li
Ersin Yumer
Deva Ramanan
60
47
0
12 May 2019
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
Yanwei Fu
C. Yan
Yi Yang
67
134
0
22 Aug 2018
To Trust Or Not To Trust A Classifier
To Trust Or Not To Trust A Classifier
Heinrich Jiang
Been Kim
Melody Y. Guan
Maya R. Gupta
UQCV
141
469
0
30 May 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
136
3,090
0
15 Dec 2017
Adaptive Neural Networks for Efficient Inference
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi
Joseph Wang
O. Dekel
Venkatesh Saligrama
49
354
0
25 Feb 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
108
2,561
0
12 Dec 2016
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
273
6,628
0
08 Jun 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
260
3,862
0
19 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
307
2,229
0
18 Sep 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
147
1,682
0
02 Apr 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
411
15,825
0
12 Nov 2013
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