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Gated Feedback Recurrent Neural Networks

Gated Feedback Recurrent Neural Networks

9 February 2015
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
ArXivPDFHTML

Papers citing "Gated Feedback Recurrent Neural Networks"

37 / 87 papers shown
Title
A Multi-sentiment-resource Enhanced Attention Network for Sentiment
  Classification
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification
Zeyang Lei
Yujiu Yang
Min Yang
Yi Liu
48
51
0
13 Jul 2018
Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural
  Network Language Models in ASR
Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR
Yerbolat Khassanov
Chng Eng Siong
KELM
24
5
0
27 Jun 2018
Training LSTM Networks with Resistive Cross-Point Devices
Training LSTM Networks with Resistive Cross-Point Devices
Tayfun Gokmen
Malte J. Rasch
W. Haensch
8
45
0
01 Jun 2018
Image Super-Resolution via Dual-State Recurrent Networks
Image Super-Resolution via Dual-State Recurrent Networks
Wei Han
Shiyu Chang
Ding Liu
Mo Yu
Michael Witbrock
Thomas S. Huang
SupR
22
215
0
07 May 2018
Recurrent Neural Network Language Models for Open Vocabulary Event-Level
  Cyber Anomaly Detection
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
Aaron Tuor
Ryan Baerwolf
N. Knowles
Brian Hutchinson
Nicole Nichols
Robert J. Jasper
20
51
0
02 Dec 2017
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying
  Uncertainty in Spatial-Temporal Data
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
Patrick L. McDermott
C. Wikle
BDL
UQCV
32
96
0
02 Nov 2017
Observational Learning by Reinforcement Learning
Observational Learning by Reinforcement Learning
Diana Borsa
Bilal Piot
Rémi Munos
Olivier Pietquin
OffRL
20
45
0
20 Jun 2017
CRNN: A Joint Neural Network for Redundancy Detection
CRNN: A Joint Neural Network for Redundancy Detection
Xinyu Fu
Eugene Ch’ng
U. Aickelin
Simon See
26
34
0
04 Jun 2017
Kronecker Recurrent Units
Kronecker Recurrent Units
C. Jose
Moustapha Cissé
F. Fleuret
ODL
24
45
0
29 May 2017
Fast-Slow Recurrent Neural Networks
Fast-Slow Recurrent Neural Networks
Asier Mujika
Florian Meier
Angelika Steger
22
76
0
24 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep
  Neural Networks
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu
Mike O'Connor
Niladrish Chatterjee
Jeff Pool
S. Keckler
27
176
0
03 May 2017
Evolving Deep Neural Networks
Evolving Deep Neural Networks
Risto Miikkulainen
J. Liang
Elliot Meyerson
Aditya Rawal
Daniel Fink
...
B. Raju
H. Shahrzad
Arshak Navruzyan
Nigel P. Duffy
B. Hodjat
18
884
0
01 Mar 2017
Recurrent Neural Networks for anomaly detection in the Post-Mortem time
  series of LHC superconducting magnets
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets
Maciej Wielgosz
A. Skoczeń
M. Mertik
21
9
0
02 Feb 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
18
157
0
24 Jan 2017
Temporal Overdrive Recurrent Neural Network
Temporal Overdrive Recurrent Neural Network
F. Bianchi
Michael C. Kampffmeyer
E. Maiorino
Robert Jenssen
AI4TS
29
9
0
18 Jan 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
24
129
0
01 Dec 2016
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
52
1,468
0
16 Nov 2016
Surprisal-Driven Zoneout
Surprisal-Driven Zoneout
K. Rocki
Tomasz Kornuta
Tegan Maharaj
29
8
0
24 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
84
1,585
0
27 Sep 2016
Multiplicative LSTM for sequence modelling
Multiplicative LSTM for sequence modelling
Ben Krause
Liang Lu
Iain Murray
Steve Renals
35
208
0
26 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
40
534
0
06 Sep 2016
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz
M. H. Saffar
Mohammad Sabokrou
M. Fathy
Reinhard Klette
Fay Huang
11
56
0
21 Aug 2016
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For
  Sketch Recognition
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition
Ravi Kiran Sarvadevabhatla
Jogendra Nath Kundu
R. Venkatesh Babu
8
47
0
11 Aug 2016
RETURNN: The RWTH Extensible Training framework for Universal Recurrent
  Neural Networks
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
P. Doetsch
Albert Zeyer
P. Voigtlaender
Ilya Kulikov
Ralf Schluter
Hermann Ney
20
74
0
02 Aug 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
15
413
0
12 Jul 2016
On Multiplicative Integration with Recurrent Neural Networks
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu
Saizheng Zhang
Wenjie Qu
Yoshua Bengio
Ruslan Salakhutdinov
34
154
0
21 Jun 2016
DeepMath - Deep Sequence Models for Premise Selection
DeepMath - Deep Sequence Models for Premise Selection
Alexander A. Alemi
François Chollet
N. Eén
G. Irving
Christian Szegedy
Josef Urban
LRM
AIMat
19
228
0
14 Jun 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning
Factored Temporal Sigmoid Belief Networks for Sequence Learning
Jiaming Song
Zhe Gan
Lawrence Carin
23
10
0
22 May 2016
Deep Gate Recurrent Neural Network
Yuan Gao
D. Głowacka
19
61
0
11 Apr 2016
Character-Level Question Answering with Attention
Character-Level Question Answering with Attention
David Golub
Xiaodong He
24
184
0
04 Apr 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for
  Automated Image Annotation
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Hoo-Chang Shin
Kirk Roberts
Le Lu
Dina Demner-Fushman
Jianhua Yao
Ronald M. Summers
18
347
0
28 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huatian Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
27
41
0
15 Mar 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMat
RALM
34
1,111
0
25 Jan 2016
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
Larger-Context Language Modelling
Larger-Context Language Modelling
Tian Wang
Kyunghyun Cho
28
87
0
11 Nov 2015
End-to-End Attention-based Large Vocabulary Speech Recognition
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau
J. Chorowski
Dmitriy Serdyuk
Philemon Brakel
Yoshua Bengio
19
1,147
0
18 Aug 2015
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Baotian Hu
Qingcai Chen
Fangze Zhu
26
337
0
19 Jun 2015
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