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Refined Gate: A Simple and Effective Gating Mechanism for Recurrent
  Units

Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units

26 February 2020
Zhanzhan Cheng
Yunlu Xu
Mingjian Cheng
Yu Qiao
Shiliang Pu
Yi Niu
Fei Wu
ArXivPDFHTML

Papers citing "Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units"

5 / 5 papers shown
Title
Non-normal Recurrent Neural Network (nnRNN): learning long time
  dependencies while improving expressivity with transient dynamics
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Giancarlo Kerg
Kyle Goyette
M. P. Touzel
Gauthier Gidel
Eugene Vorontsov
Yoshua Bengio
Guillaume Lajoie
19
58
0
28 May 2019
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and
  Model Analysis
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
Jeonghun Baek
Geewook Kim
Junyeop Lee
Sungrae Park
Dongyoon Han
Sangdoo Yun
Seong Joon Oh
Hwalsuk Lee
394
477
0
03 Apr 2019
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
194
10,412
0
21 Jul 2016
Recurrent Orthogonal Networks and Long-Memory Tasks
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff
Arthur Szlam
Yann LeCun
34
131
0
22 Feb 2016
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
245
10,034
0
10 Feb 2015
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