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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
Deep Equilibrium Models
Deep Equilibrium Models
Shaojie Bai
J. Zico Kolter
V. Koltun
14
657
0
03 Sep 2019
Sentence-Level Content Planning and Style Specification for Neural Text
  Generation
Sentence-Level Content Planning and Style Specification for Neural Text Generation
Xinyu Hua
Lu Wang
33
50
0
02 Sep 2019
Leveraging External Knowledge for Out-Of-Vocabulary Entity Labeling
Leveraging External Knowledge for Out-Of-Vocabulary Entity Labeling
Adrian de Wynter
Lambert Mathias
16
0
0
26 Aug 2019
Towards Unconstrained End-to-End Text Spotting
Towards Unconstrained End-to-End Text Spotting
Siyang Qin
Alessandro Bissacco
Michalis Raptis
Yasuhisa Fujii
Y. Xiao
24
129
0
24 Aug 2019
Similarity Learning for Authorship Verification in Social Media
Similarity Learning for Authorship Verification in Social Media
Benedikt T. Boenninghoff
R. M. Nickel
Steffen Zeiler
D. Kolossa
25
42
0
20 Aug 2019
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
Badri N. Patro
Mayank Lunayach
Shivansh Patel
Vinay P. Namboodiri
FAtt
UQCV
27
76
0
17 Aug 2019
DropAttention: A Regularization Method for Fully-Connected
  Self-Attention Networks
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks
Zehui Lin
Pengfei Liu
Luyao Huang
Junkun Chen
Xipeng Qiu
Xuanjing Huang
3DPC
16
44
0
25 Jul 2019
Adaptive Noise Injection: A Structure-Expanding Regularization for RNN
Rui Li
Kai Shuang
Mengyu Gu
Sen Su
17
0
0
25 Jul 2019
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep
  Learning Approach
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
Riyi Qiu
Yugang Jia
M. Hadzikadic
Michael F Dulin
Xi Niu
Xin Wang
BDL
9
7
0
14 Jul 2019
The University of Edinburgh's Submissions to the WMT19 News Translation
  Task
The University of Edinburgh's Submissions to the WMT19 News Translation Task
Rachel Bawden
Nikolay Bogoychev
Ulrich Germann
Roman Grundkiewicz
Faheem Kirefu
Antonio Valerio Miceli Barone
Alexandra Birch
22
32
0
12 Jul 2019
Deep auscultation: Predicting respiratory anomalies and diseases via
  recurrent neural networks
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
D. Perna
Andrea Tagarelli
13
99
0
11 Jul 2019
Explaining an increase in predicted risk for clinical alerts
Explaining an increase in predicted risk for clinical alerts
Michaela Hardt
A. Rajkomar
Gerardo Flores
Andrew M. Dai
M. Howell
Greg S. Corrado
Claire Cui
Moritz Hardt
FAtt
17
12
0
10 Jul 2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive
  bandit algorithms
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
Henry B. Moss
Andrew Moore
David S. Leslie
Paul Rayson
12
5
0
28 Jun 2019
Encoding Database Schemas with Relation-Aware Self-Attention for
  Text-to-SQL Parsers
Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers
Richard Shin
3DV
16
14
0
27 Jun 2019
Classification of Cardiac Arrhythmias from Single Lead ECG with a
  Convolutional Recurrent Neural Network
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network
J. V. Zaen
O. Chételat
M. Lemay
E. M. Calvo
R. Delgado-Gonzalo
13
14
0
25 Jun 2019
Confidence Calibration for Convolutional Neural Networks Using
  Structured Dropout
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout
Zhilu Zhang
Adrian Dalca
M. Sabuncu
UQCV
BDL
19
47
0
23 Jun 2019
Improving Zero-shot Translation with Language-Independent Constraints
Improving Zero-shot Translation with Language-Independent Constraints
Ngoc-Quan Pham
Jan Niehues
Thanh-Le Ha
A. Waibel
31
60
0
20 Jun 2019
SMILES-X: autonomous molecular compounds characterization for small
  datasets without descriptors
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors
G. Lambard
Ekaterina Gracheva
27
20
0
20 Jun 2019
Calibrated Model-Based Deep Reinforcement Learning
Calibrated Model-Based Deep Reinforcement Learning
Ali Malik
Volodymyr Kuleshov
Jiaming Song
Danny Nemer
Harlan Seymour
Stefano Ermon
17
55
0
19 Jun 2019
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
Yair Feldman
Ran El-Yaniv
RALM
19
100
0
15 Jun 2019
Character n-gram Embeddings to Improve RNN Language Models
Character n-gram Embeddings to Improve RNN Language Models
Sho Takase
Jun Suzuki
Masaaki Nagata
22
25
0
13 Jun 2019
Improving Neural Language Modeling via Adversarial Training
Improving Neural Language Modeling via Adversarial Training
Dilin Wang
Chengyue Gong
Qiang Liu
AAML
43
115
0
10 Jun 2019
Argument Generation with Retrieval, Planning, and Realization
Argument Generation with Retrieval, Planning, and Realization
Xinyu Hua
Zhe Hu
Lu Wang
LRM
22
71
0
09 Jun 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
33
2,292
0
06 Jun 2019
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI
  Segmentation
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
17
17
0
05 Jun 2019
Improving Neural Language Models by Segmenting, Attending, and
  Predicting the Future
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Hongyin Luo
Lan Jiang
Yonatan Belinkov
James R. Glass
14
13
0
04 Jun 2019
Self-Attentional Models for Lattice Inputs
Self-Attentional Models for Lattice Inputs
Matthias Sperber
Graham Neubig
Ngoc-Quan Pham
A. Waibel
18
42
0
04 Jun 2019
Exploring Phoneme-Level Speech Representations for End-to-End Speech
  Translation
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation
Elizabeth Salesky
Matthias Sperber
A. Black
6
35
0
04 Jun 2019
Fluent Translations from Disfluent Speech in End-to-End Speech
  Translation
Fluent Translations from Disfluent Speech in End-to-End Speech Translation
Elizabeth Salesky
Matthias Sperber
A. Waibel
17
33
0
03 Jun 2019
Improving Open Information Extraction via Iterative Rank-Aware Learning
Improving Open Information Extraction via Iterative Rank-Aware Learning
Zhengbao Jiang
Pengcheng Yin
Graham Neubig
14
11
0
31 May 2019
Revisiting Low-Resource Neural Machine Translation: A Case Study
Revisiting Low-Resource Neural Machine Translation: A Case Study
Rico Sennrich
Biao Zhang
18
223
0
28 May 2019
Bivariate Beta-LSTM
Bivariate Beta-LSTM
Kyungwoo Song
Joonho Jang
Seung-Jae Shin
Il-Chul Moon
17
6
0
25 May 2019
Inferring Javascript types using Graph Neural Networks
Inferring Javascript types using Graph Neural Networks
Jessica Schrouff
Kai Wohlfahrt
Bruno Marnette
Liam Atkinson
NAI
GNN
19
7
0
16 May 2019
Deep Residual Output Layers for Neural Language Generation
Deep Residual Output Layers for Neural Language Generation
Nikolaos Pappas
James Henderson
26
7
0
14 May 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Ngoc-Quan Pham
T. Nguyen
Jan Niehues
Markus Müller
Sebastian Stüker
A. Waibel
23
161
0
30 Apr 2019
X-Ray Image Compression Using Convolutional Recurrent Neural Networks
X-Ray Image Compression Using Convolutional Recurrent Neural Networks
Asif Sushmit
Shakib Uz Zaman
Ahmed Imtiaz Humayun
Taufiq Hasan
M. Bhuiyan
MedIm
11
16
0
28 Apr 2019
Survey of Dropout Methods for Deep Neural Networks
Survey of Dropout Methods for Deep Neural Networks
Alex Labach
Hojjat Salehinejad
S. Valaee
27
149
0
25 Apr 2019
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural
  Speaker Separation
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
Yuzhou Liu
DeLiang Wang
27
157
0
25 Apr 2019
Multi-Task Learning for Argumentation Mining
Multi-Task Learning for Argumentation Mining
Tobias Kahse
14
4
0
23 Apr 2019
Adversarial Dropout for Recurrent Neural Networks
Adversarial Dropout for Recurrent Neural Networks
Sungrae Park
Kyungwoo Song
Mingi Ji
Wonsung Lee
Il-Chul Moon
6
6
0
22 Apr 2019
Obfuscation for Privacy-preserving Syntactic Parsing
Obfuscation for Privacy-preserving Syntactic Parsing
Zhifeng Hu
Serhii Havrylov
Ivan Titov
Shay B. Cohen
26
6
0
21 Apr 2019
Code-Switching for Enhancing NMT with Pre-Specified Translation
Code-Switching for Enhancing NMT with Pre-Specified Translation
Kai Song
Yue Zhang
Heng Yu
Weihua Luo
Kun Wang
Min Zhang
30
116
0
19 Apr 2019
Effective Estimation of Deep Generative Language Models
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
24
27
0
17 Apr 2019
RawNet: Advanced end-to-end deep neural network using raw waveforms for
  text-independent speaker verification
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
Jee-weon Jung
Hee-Soo Heo
Ju-ho Kim
Hye-jin Shim
Ha-Jin Yu
17
140
0
17 Apr 2019
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred
  Embeddings
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings
Zhaoning Li
Qi Li
Xiaotian Zou
Jiangtao Ren
6
118
0
16 Apr 2019
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech
  Translation
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Matthias Sperber
Graham Neubig
Jan Niehues
A. Waibel
6
101
0
15 Apr 2019
Enhancing Time Series Momentum Strategies Using Deep Neural Networks
Enhancing Time Series Momentum Strategies Using Deep Neural Networks
Bryan Lim
S. Zohren
Stephen J. Roberts
AIFin
AI4TS
6
90
0
09 Apr 2019
Relational Reasoning Network (RRN) for Anatomical Landmarking
Relational Reasoning Network (RRN) for Anatomical Landmarking
N. Torosdagli
Syed Muhammad Anwar
P. Verma
D. Liberton
Janice S. Lee
Wade W. Han
Ulas Bagci
33
3
0
08 Apr 2019
Knowledge Distillation For Recurrent Neural Network Language Modeling
  With Trust Regularization
Knowledge Distillation For Recurrent Neural Network Language Modeling With Trust Regularization
Yangyang Shi
M. Hwang
X. Lei
Haoyu Sheng
34
25
0
08 Apr 2019
WeNet: Weighted Networks for Recurrent Network Architecture Search
WeNet: Weighted Networks for Recurrent Network Architecture Search
Zhiheng Huang
Bing Xiang
8
4
0
08 Apr 2019
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