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Minimal Gated Unit for Recurrent Neural Networks

Minimal Gated Unit for Recurrent Neural Networks

31 March 2016
Guoxiang Zhou
Jianxin Wu
Chen-Da Liu-Zhang
Zhi Zhou
ArXiv (abs)PDFHTML

Papers citing "Minimal Gated Unit for Recurrent Neural Networks"

28 / 78 papers shown
Improving Minimal Gated Unit for Sequential Data
Improving Minimal Gated Unit for Sequential DataGlobal Conference on Consumer Electronics (GCE), 2019
Kazuki Takamura
S. Yamane
108
0
0
21 May 2019
Learning Longer-term Dependencies via Grouped Distributor Unit
Learning Longer-term Dependencies via Grouped Distributor Unit
Wei Luo
Feng Yu
89
2
0
29 Apr 2019
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
An Optimized Recurrent Unit for Ultra-Low-Power Keyword SpottingProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2019
Justice Amoh
K. Odame
174
19
0
13 Feb 2019
Investigating Recurrent Neural Network Memory Structures using
  Neuro-Evolution
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
Alexander Ororbia
A. ElSaid
Travis J. Desell
250
59
0
06 Feb 2019
Learning with Interpretable Structure from Gated RNN
Learning with Interpretable Structure from Gated RNN
Bo-Jian Hou
Zhi Zhou
AI4CE
246
79
0
25 Oct 2018
Compositional Coding Capsule Network with K-Means Routing for Text
  Classification
Compositional Coding Capsule Network with K-Means Routing for Text Classification
Hao Ren
Hong-wei Lu
247
55
0
22 Oct 2018
Reduced-Gate Convolutional LSTM Using Predictive Coding for
  Spatiotemporal Prediction
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction
Nelly Elsayed
Anthony Maida
Magdy A. Bayoumi
342
7
0
16 Oct 2018
Higher-order Graph Convolutional Networks
Higher-order Graph Convolutional Networks
J. B. Lee
Ryan A. Rossi
Xiangnan Kong
Sungchul Kim
Eunyee Koh
Anup B. Rao
GNN
151
38
0
12 Sep 2018
The Lower The Simpler: Simplifying Hierarchical Recurrent Models
The Lower The Simpler: Simplifying Hierarchical Recurrent Models
Chao Wang
Hui Jiang
209
2
0
08 Sep 2018
Single-Microphone Speech Enhancement and Separation Using Deep Learning
Single-Microphone Speech Enhancement and Separation Using Deep Learning
Morten Kolbaek
180
7
0
31 Aug 2018
Recurrent Neural Networks with Flexible Gates using Kernel Activation
  Functions
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Danilo Comminiello
Simone Totaro
A. Uncini
80
4
0
11 Jul 2018
Sliced Recurrent Neural Networks
Sliced Recurrent Neural NetworksInternational Conference on Computational Linguistics (COLING), 2018
Zeping Yu
Gongshen Liu
117
45
0
06 Jul 2018
Deep Neural Machine Translation with Weakly-Recurrent Units
Deep Neural Machine Translation with Weakly-Recurrent Units
Mattia Antonino Di Gangi
Marcello Federico
AIMat
136
19
0
10 May 2018
Twin Regularization for online speech recognition
Twin Regularization for online speech recognition
Mirco Ravanelli
Dmitriy Serdyuk
Yoshua Bengio
114
16
0
15 Apr 2018
The unreasonable effectiveness of the forget gate
The unreasonable effectiveness of the forget gate
J. Westhuizen
Joan Lasenby
180
98
0
13 Apr 2018
Light Gated Recurrent Units for Speech Recognition
Light Gated Recurrent Units for Speech Recognition
Mirco Ravanelli
Philemon Brakel
M. Omologo
Yoshua Bengio
125
361
0
26 Mar 2018
A Flexible Approach to Automated RNN Architecture Generation
A Flexible Approach to Automated RNN Architecture GenerationInternational Conference on Learning Representations (ICLR), 2017
Martin Schrimpf
Stephen Merity
James Bradbury
R. Socher
107
16
0
20 Dec 2017
Deep Learning for Distant Speech Recognition
Deep Learning for Distant Speech Recognition
Mirco Ravanelli
128
16
0
17 Dec 2017
Improving speech recognition by revising gated recurrent units
Improving speech recognition by revising gated recurrent units
Mirco Ravanelli
Philemon Brakel
M. Omologo
Yoshua Bengio
136
55
0
29 Sep 2017
CRNN: A Joint Neural Network for Redundancy Detection
CRNN: A Joint Neural Network for Redundancy DetectionInternational Conference on Smart Computing (SMARTCOMP), 2016
Xinyu Fu
Eugene Ch’ng
U. Aickelin
Simon See
125
39
0
04 Jun 2017
Learning Simpler Language Models with the Differential State Framework
Learning Simpler Language Models with the Differential State Framework
Alexander Ororbia
Tomas Mikolov
David Reitter
AI4TS
237
65
0
26 Mar 2017
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks
Gate-Variants of Gated Recurrent Unit (GRU) Neural NetworksMidwest Symposium on Circuits and Systems (MWSCAS), 2017
Rahul Dey
F. Salem
269
1,814
0
20 Jan 2017
Simplified Minimal Gated Unit Variations for Recurrent Neural Networks
Simplified Minimal Gated Unit Variations for Recurrent Neural NetworksMidwest Symposium on Circuits and Systems (MWSCAS), 2017
Joel Heck
F. Salem
147
75
0
12 Jan 2017
Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural
  Networks
Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural NetworksMidwest Symposium on Circuits and Systems (MWSCAS), 2017
Yuzhen Lu
F. Salem
89
46
0
12 Jan 2017
A Basic Recurrent Neural Network Model
A Basic Recurrent Neural Network Model
F. Salem
61
17
0
29 Dec 2016
Empirical Evaluation of A New Approach to Simplifying Long Short-term
  Memory (LSTM)
Empirical Evaluation of A New Approach to Simplifying Long Short-term Memory (LSTM)
Yuzhen Lu
63
2
0
12 Dec 2016
Parameter Compression of Recurrent Neural Networks and Degradation of
  Short-term Memory
Parameter Compression of Recurrent Neural Networks and Degradation of Short-term Memory
Jonathan A. Cox
148
6
0
02 Dec 2016
Capacity and Trainability in Recurrent Neural Networks
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins
Jascha Narain Sohl-Dickstein
David Sussillo
377
213
0
29 Nov 2016
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