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A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

16 December 2015
Y. Gal
Zoubin Ghahramani
    UQCV
    DRL
    BDL
ArXivPDFHTML

Papers citing "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

50 / 431 papers shown
Title
Direct Output Connection for a High-Rank Language Model
Direct Output Connection for a High-Rank Language Model
Sho Takase
Jun Suzuki
Masaaki Nagata
18
36
0
30 Aug 2018
Multi-Task Identification of Entities, Relations, and Coreference for
  Scientific Knowledge Graph Construction
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
Yi Luan
Luheng He
Mari Ostendorf
Hannaneh Hajishirzi
58
667
0
29 Aug 2018
Pyramidal Recurrent Unit for Language Modeling
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
Rik Koncel-Kedziorski
Mohammad Rastegari
Hannaneh Hajishirzi
21
10
0
27 Aug 2018
Ancient-Modern Chinese Translation with a Large Training Dataset
Ancient-Modern Chinese Translation with a Large Training Dataset
Dayiheng Liu
Jiancheng Lv
Kexin Yang
Qian Qu
24
13
0
11 Aug 2018
Zero-shot keyword spotting for visual speech recognition in-the-wild
Zero-shot keyword spotting for visual speech recognition in-the-wild
Themos Stafylakis
Georgios Tzimiropoulos
32
38
0
23 Jul 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov
Nathan Fenner
Stefano Ermon
BDL
UQCV
41
622
0
01 Jul 2018
A Multi-Modal Chinese Poetry Generation Model
A Multi-Modal Chinese Poetry Generation Model
Dayiheng Liu
Quan Guo
Wubo Li
Jiancheng Lv
32
26
0
26 Jun 2018
Countdown Regression: Sharp and Calibrated Survival Predictions
Countdown Regression: Sharp and Calibrated Survival Predictions
Anand Avati
Tony Duan
Sharon Zhou
Kenneth Jung
N. Shah
A. Ng
22
55
0
21 Jun 2018
A Comparison of Transformer and Recurrent Neural Networks on
  Multilingual Neural Machine Translation
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation
Surafel Melaku Lakew
Mauro Cettolo
Marcello Federico
30
103
0
18 Jun 2018
Variational Implicit Processes
Variational Implicit Processes
Chao Ma
Yingzhen Li
José Miguel Hernández-Lobato
BDL
24
68
0
06 Jun 2018
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning
Genta Indra Winata
Andrea Madotto
Chien-Sheng Wu
Pascale Fung
22
39
0
30 May 2018
Neural Argument Generation Augmented with Externally Retrieved Evidence
Neural Argument Generation Augmented with Externally Retrieved Evidence
Xinyu Hua
Lu Wang
LRM
19
61
0
25 May 2018
A Double-Deep Spatio-Angular Learning Framework for Light Field based
  Face Recognition
A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition
Alireza Sepas-Moghaddam
M. A. Haque
P. Correia
Kamal Nasrollahi
T. Moeslund
F. Pereira
CVBM
13
35
0
25 May 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo
Haebeom Lee
Saehoon Kim
Juho Lee
Kwang Joon Kim
Eunho Yang
Sung Ju Hwang
OOD
12
87
0
24 May 2018
Halo: Learning Semantics-Aware Representations for Cross-Lingual
  Information Extraction
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction
Hongyuan Mei
Sheng Zhang
Kevin Duh
Benjamin Van Durme
16
2
0
21 May 2018
Large-Scale QA-SRL Parsing
Large-Scale QA-SRL Parsing
Nicholas FitzGerald
Julian Michael
Luheng He
Luke Zettlemoyer
22
96
0
14 May 2018
Jointly Predicting Predicates and Arguments in Neural Semantic Role
  Labeling
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
Luheng He
Kenton Lee
Omer Levy
Luke Zettlemoyer
19
188
0
12 May 2018
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Urvashi Khandelwal
He He
Peng Qi
Dan Jurafsky
RALM
16
293
0
12 May 2018
Extreme Adaptation for Personalized Neural Machine Translation
Extreme Adaptation for Personalized Neural Machine Translation
Paul Michel
Graham Neubig
21
103
0
04 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks
Noisin: Unbiased Regularization for Recurrent Neural Networks
Adji Bousso Dieng
Rajesh Ranganath
Jaan Altosaar
David M. Blei
22
22
0
03 May 2018
Stack-Pointer Networks for Dependency Parsing
Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma
Zecong Hu
J. Liu
Nanyun Peng
Graham Neubig
Eduard H. Hovy
GNN
43
166
0
03 May 2018
Recurrent Entity Networks with Delayed Memory Update for Targeted
  Aspect-based Sentiment Analysis
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis
Fei Liu
Trevor Cohn
Timothy Baldwin
28
50
0
30 Apr 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech
  Induction
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction
K. Stratos
26
26
0
20 Apr 2018
Approaching Neural Grammatical Error Correction as a Low-Resource
  Machine Translation Task
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Marcin Junczys-Dowmunt
Roman Grundkiewicz
Shubha Guha
Kenneth Heafield
33
192
0
16 Apr 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Bryan Lim
M. Schaar
22
32
0
27 Mar 2018
Why Comparing Single Performance Scores Does Not Allow to Draw
  Conclusions About Machine Learning Approaches
Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches
Nils Reimers
Iryna Gurevych
19
51
0
26 Mar 2018
Self-Attentional Acoustic Models
Self-Attentional Acoustic Models
Matthias Sperber
Jan Niehues
Graham Neubig
Sebastian Stüker
A. Waibel
22
151
0
26 Mar 2018
From Nodes to Networks: Evolving Recurrent Neural Networks
From Nodes to Networks: Evolving Recurrent Neural Networks
Aditya Rawal
Risto Miikkulainen
13
53
0
12 Mar 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on
  Mini-Batches
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen
Paul Vicol
Jimmy Ba
Dustin Tran
Roger C. Grosse
BDL
22
307
0
12 Mar 2018
Convolutional Neural Networks for Toxic Comment Classification
Convolutional Neural Networks for Toxic Comment Classification
S. Georgakopoulos
S. Tasoulis
Aristidis G. Vrahatis
V. Plagianakos
19
217
0
27 Feb 2018
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to
  the Linux Operating System
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
Xi Lin
Chenglong Wang
Luke Zettlemoyer
Michael D. Ernst
20
163
0
25 Feb 2018
Scalable and accurate deep learning for electronic health records
Scalable and accurate deep learning for electronic health records
A. Rajkomar
Eyal Oren
Kai Chen
Andrew M. Dai
Nissan Hajaj
...
A. Butte
M. Howell
Claire Cui
Greg S. Corrado
Jeffrey Dean
OOD
BDL
44
2,110
0
24 Jan 2018
MaskGAN: Better Text Generation via Filling in the______
MaskGAN: Better Text Generation via Filling in the______
W. Fedus
Ian Goodfellow
Andrew M. Dai
24
468
0
23 Jan 2018
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
33
682
0
06 Dec 2017
Long-Term On-Board Prediction of People in Traffic Scenes under
  Uncertainty
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
35
201
0
24 Nov 2017
FusionNet: Fusing via Fully-Aware Attention with Application to Machine
  Comprehension
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang
Chenguang Zhu
Yelong Shen
Weizhu Chen
FedML
35
183
0
16 Nov 2017
"Found in Translation": Predicting Outcomes of Complex Organic Chemistry
  Reactions using Neural Sequence-to-Sequence Models
"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models
P. Schwaller
T. Gaudin
D. Lanyi
C. Bekas
Teodoro Laino
42
276
0
13 Nov 2017
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with
  Semantic Role Labeling
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling
Ana Marasović
Anette Frank
37
9
0
02 Nov 2017
Sea Level Anomaly Prediction using Recurrent Neural Networks
Sea Level Anomaly Prediction using Recurrent Neural Networks
A. Braakmann-Folgmann
R. Roscher
Susanne Wenzel
B. Uebbing
J. Kusche
AI4Cl
29
40
0
19 Oct 2017
Learning Differentially Private Recurrent Language Models
Learning Differentially Private Recurrent Language Models
H. B. McMahan
Daniel Ramage
Kunal Talwar
Li Zhang
FedML
22
125
0
18 Oct 2017
Neural Optimizer Search with Reinforcement Learning
Neural Optimizer Search with Reinforcement Learning
Irwan Bello
Barret Zoph
Vijay Vasudevan
Quoc V. Le
ODL
29
383
0
21 Sep 2017
Predicting Video Saliency with Object-to-Motion CNN and Two-layer
  Convolutional LSTM
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Lai Jiang
Mai Xu
Zulin Wang
27
121
0
19 Sep 2017
Deep and Confident Prediction for Time Series at Uber
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu
N. Laptev
BDL
AI4TS
30
342
0
06 Sep 2017
Learning the PE Header, Malware Detection with Minimal Domain Knowledge
Learning the PE Header, Malware Detection with Minimal Domain Knowledge
Edward Raff
Jared Sylvester
Charles K. Nicholas
25
118
0
05 Sep 2017
Gradual Learning of Recurrent Neural Networks
Gradual Learning of Recurrent Neural Networks
Ziv Aharoni
Gal Rattner
Haim Permuter
AI4CE
30
4
0
29 Aug 2017
Actively Learning what makes a Discrete Sequence Valid
Actively Learning what makes a Discrete Sequence Valid
David Janz
J. Westhuizen
José Miguel Hernández-Lobato
15
22
0
15 Aug 2017
Regularizing and Optimizing LSTM Language Models
Regularizing and Optimizing LSTM Language Models
Stephen Merity
N. Keskar
R. Socher
83
1,091
0
07 Aug 2017
Structured Attentions for Visual Question Answering
Structured Attentions for Visual Question Answering
Chen Zhu
Yanpeng Zhao
Shuaiyi Huang
Kewei Tu
Yi Ma
FAtt
32
106
0
07 Aug 2017
Revisiting Activation Regularization for Language RNNs
Revisiting Activation Regularization for Language RNNs
Stephen Merity
Bryan McCann
R. Socher
33
44
0
03 Aug 2017
Regularization techniques for fine-tuning in neural machine translation
Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone
Barry Haddow
Ulrich Germann
Rico Sennrich
26
107
0
31 Jul 2017
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