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Dynamic Neural Networks: A Survey

Dynamic Neural Networks: A Survey

9 February 2021
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
    3DH
    AI4TS
    AI4CE
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Papers citing "Dynamic Neural Networks: A Survey"

10 / 210 papers shown
Title
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
189
791
0
24 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
395
43,589
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
Exponentially Increasing the Capacity-to-Computation Ratio for
  Conditional Computation in Deep Learning
Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning
Kyunghyun Cho
Yoshua Bengio
73
38
0
28 Jun 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
122
3,651
0
24 Jun 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
128
1,462
0
15 May 2014
Low-Rank Approximations for Conditional Feedforward Computation in Deep
  Neural Networks
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Andrew S. Davis
I. Arel
76
79
0
16 Dec 2013
Learning Factored Representations in a Deep Mixture of Experts
Learning Factored Representations in a Deep Mixture of Experts
David Eigen
MarcÁurelio Ranzato
Ilya Sutskever
MoE
78
374
0
16 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
352
3,125
0
15 Aug 2013
Predicting Parameters in Deep Learning
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
168
1,315
0
03 Jun 2013
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