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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 / 433 papers shown
Title
Regularizing activations in neural networks via distribution matching
  with the Wasserstein metric
Regularizing activations in neural networks via distribution matching with the Wasserstein metric
Taejong Joo
Donggu Kang
Byunghoon Kim
35
8
0
13 Feb 2020
Estimating Counterfactual Treatment Outcomes over Time Through
  Adversarially Balanced Representations
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
Ioana Bica
Ahmed Alaa
James Jordon
M. Schaar
BDL
CML
11
180
0
10 Feb 2020
A deep-learning view of chemical space designed to facilitate drug
  discovery
A deep-learning view of chemical space designed to facilitate drug discovery
P. Maragakis
Hunter M. Nisonoff
B. Cole
D. Shaw
44
28
0
07 Feb 2020
Learning Multi-instrument Classification with Partial Labels
Learning Multi-instrument Classification with Partial Labels
Amir Kenarsari-Anhari
9
3
0
24 Jan 2020
Deep Bayesian Network for Visual Question Generation
Deep Bayesian Network for Visual Question Generation
Badri N. Patro
V. Kurmi
Sandeep Kumar
Vinay P. Namboodiri
BDL
17
19
0
23 Jan 2020
Single headed attention based sequence-to-sequence model for
  state-of-the-art results on Switchboard
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
Zoltán Tüske
G. Saon
Kartik Audhkhasi
Brian Kingsbury
BDL
23
68
0
20 Jan 2020
Delving Deeper into the Decoder for Video Captioning
Delving Deeper into the Decoder for Video Captioning
Haoran Chen
Jianmin Li
Xiaolin Hu
43
34
0
16 Jan 2020
A Continuous Space Neural Language Model for Bengali Language
A Continuous Space Neural Language Model for Bengali Language
Hemayet Ahmed Chowdhury
Md. Azizul Haque Imon
Anisur Rahman
Aisha Khatun
Md. Saiful Islam
17
2
0
11 Jan 2020
LTP: A New Active Learning Strategy for CRF-Based Named Entity
  Recognition
LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition
Mingyi Liu
Zhiying Tu
Tong Zhang
Xiaofei Xu
Zhongjie Wang
21
33
0
08 Jan 2020
Graduate Employment Prediction with Bias
Graduate Employment Prediction with Bias
Teng Guo
Feng Xia
Shi Zhen
Xiaomei Bai
Dongyu Zhang
Zitao Liu
Jiliang Tang
40
26
0
27 Dec 2019
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan Ö. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
66
1,415
0
19 Dec 2019
Enhancing streamflow forecast and extracting insights using long-short
  term memory networks with data integration at continental scales
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales
D. Feng
K. Fang
Chaopeng Shen
AI4TS
26
274
0
18 Dec 2019
Domain-independent Dominance of Adaptive Methods
Domain-independent Dominance of Adaptive Methods
Pedro H. P. Savarese
David A. McAllester
Sudarshan Babu
Michael Maire
ODL
16
22
0
04 Dec 2019
Image segmentation of liver stage malaria infection with spatial
  uncertainty sampling
Image segmentation of liver stage malaria infection with spatial uncertainty sampling
A. Soleimany
Harini Suresh
Jose Javier Gonzalez Ortiz
Divya Shanmugam
N. Gural
John Guttag
S. Bhatia
6
4
0
30 Nov 2019
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural
  Architecture
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture
Tunhou Zhang
Hsin-Pai Cheng
Zhenwen Li
Feng Yan
Chengyu Huang
H. Li
Yiran Chen
8
9
0
21 Nov 2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI
  Segmentation
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
33
111
0
20 Nov 2019
Controlling Neural Machine Translation Formality with Synthetic
  Supervision
Controlling Neural Machine Translation Formality with Synthetic Supervision
Xing Niu
Marine Carpuat
36
35
0
20 Nov 2019
Thick-Net: Parallel Network Structure for Sequential Modeling
Thick-Net: Parallel Network Structure for Sequential Modeling
Yu-Xuan Li
Jin-Yuan Liu
Liang Li
Xiang Guan
16
0
0
19 Nov 2019
RotationOut as a Regularization Method for Neural Network
RotationOut as a Regularization Method for Neural Network
Kaiqin Hu
Barnabás Póczós
28
1
0
18 Nov 2019
A Subword Level Language Model for Bangla Language
A Subword Level Language Model for Bangla Language
Aisha Khatun
Anisur Rahman
Hemayet Ahmed Chowdhury
Md. Saiful Islam
A. Tasnim
15
4
0
15 Nov 2019
Exploiting Token and Path-based Representations of Code for Identifying
  Security-Relevant Commits
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits
Achyudh Ram
Ji Xin
M. Nagappan
Yaoliang Yu
Rocío Cabrera Lozoya
A. Sabetta
Jimmy J. Lin
27
3
0
15 Nov 2019
Modelling EHR timeseries by restricting feature interaction
Modelling EHR timeseries by restricting feature interaction
Kun Zhang
Yuan Xue
Gerardo Flores
A. Rajkomar
Claire Cui
Andrew M. Dai
17
5
0
14 Nov 2019
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role
  Labeling
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
Qingrong Xia
Zhenghua Li
Min Zhang
28
17
0
12 Nov 2019
Fault Detection and Identification using Bayesian Recurrent Neural
  Networks
Fault Detection and Identification using Bayesian Recurrent Neural Networks
Weike Sun
António R. C. Paiva
Peng Xu
Anantha Sundaram
R. D. Braatz
BDL
17
102
0
11 Nov 2019
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL
  Parsers
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
Bailin Wang
Richard Shin
Xiaodong Liu
Oleksandr Polozov
Matthew Richardson
11
571
0
10 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
27
403
0
06 Nov 2019
Active$^2$ Learning: Actively reducing redundancies in Active Learning
  methods for Sequence Tagging and Machine Translation
Active2^22 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
Rishi Hazra
Parag Dutta
Shubham Gupta
Mohammed Abdul Qaathir
Ambedkar Dukkipati
VLM
27
0
0
01 Nov 2019
Understand customer reviews with less data and in short time: pretrained
  language representation and active learning
Understand customer reviews with less data and in short time: pretrained language representation and active learning
Yanwei Cui
Xavier Illy
VLM
14
1
0
29 Oct 2019
Generative Well-intentioned Networks
Generative Well-intentioned Networks
J. Cosentino
Jun Zhu
AI4CE
17
2
0
28 Oct 2019
Analyzing ASR pretraining for low-resource speech-to-text translation
Analyzing ASR pretraining for low-resource speech-to-text translation
Mihaela C. Stoian
Sameer Bansal
Sharon Goldwater
11
63
0
23 Oct 2019
Automatic Post-Editing for Machine Translation
Automatic Post-Editing for Machine Translation
Rajen Chatterjee
17
8
0
18 Oct 2019
Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow Algorithm
Gyunam Park
Minseok Song
AI4TS
19
0
0
11 Oct 2019
Deep Independently Recurrent Neural Network (IndRNN)
Deep Independently Recurrent Neural Network (IndRNN)
Shuai Li
Wanqing Li
Chris Cook
Yanbo Gao
23
50
0
11 Oct 2019
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction
Chengtao Cai
Yueyuan Zhou
Yanming Wang
CVBM
6
3
0
11 Oct 2019
Probabilistic Rollouts for Learning Curve Extrapolation Across
  Hyperparameter Settings
Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings
Matilde Gargiani
Aaron Klein
Stefan Falkner
Frank Hutter
BDL
17
9
0
10 Oct 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural
  Networks for the Forecasting of Complex Spatiotemporal Dynamics
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics
Pantelis R. Vlachas
Jaideep Pathak
Brian R. Hunt
T. Sapsis
M. Girvan
Edward Ott
Petros Koumoutsakos
AI4TS
19
384
0
09 Oct 2019
Modeling Confidence in Sequence-to-Sequence Models
Modeling Confidence in Sequence-to-Sequence Models
Jenna Kanerva
Riina Kekki
9
11
0
04 Oct 2019
Action Anticipation for Collaborative Environments: The Impact of
  Contextual Information and Uncertainty-Based Prediction
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction
Clebeson Canuto dos Santos
Plinio Moreno
J. L. A. Samatelo
R. Vassallo
J. Santos-Victor
22
7
0
01 Oct 2019
Regressing Word and Sentence Embeddings for Regularization of Neural
  Machine Translation
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation
Inigo Jauregi Unanue
E. Z. Borzeshi
Massimo Piccardi
AI4TS
38
0
0
30 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
232
438
0
25 Sep 2019
ASNI: Adaptive Structured Noise Injection for shallow and deep neural
  networks
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
Beyrem Khalfaoui
Joseph Boyd
Jean-Philippe Vert
30
3
0
21 Sep 2019
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role
  Labeling
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNN
14
39
0
21 Sep 2019
A Critical Analysis of Biased Parsers in Unsupervised Parsing
A Critical Analysis of Biased Parsers in Unsupervised Parsing
Chris Dyer
Gábor Melis
Phil Blunsom
12
23
0
20 Sep 2019
Prediction Uncertainty Estimation for Hate Speech Classification
Prediction Uncertainty Estimation for Hate Speech Classification
Kristian Miok
Dong Nguyen Doan
Blaž Škrlj
D. Zaharie
Marko Robnik-Šikonja
11
20
0
16 Sep 2019
Dynamic survival prediction in intensive care units from heterogeneous
  time series without the need for variable selection or pre-processing
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing
J. Deasy
Pietro Lio
A. Ercole
24
2
0
13 Sep 2019
Reinforcement Learning for Portfolio Management
Reinforcement Learning for Portfolio Management
Angelos Filos
22
35
0
12 Sep 2019
Probabilistic framework for solving Visual Dialog
Probabilistic framework for solving Visual Dialog
Badri N. Patro
Anupriy
Vinay P. Namboodiri
BDL
30
13
0
11 Sep 2019
Semantic Role Labeling with Iterative Structure Refinement
Semantic Role Labeling with Iterative Structure Refinement
Chunchuan Lyu
Shay B. Cohen
Ivan Titov
OffRL
21
21
0
07 Sep 2019
Improved Hierarchical Patient Classification with Language Model
  Pretraining over Clinical Notes
Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes
Jonas Kemp
A. Rajkomar
Andrew M. Dai
32
10
0
06 Sep 2019
Automated Polysomnography Analysis for Detection of Non-Apneic and
  Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM
  Network
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Ali Bahrami Rad
M. Zabihi
Zheng Zhao
Moncef Gabbouj
Aggelos K. Katsaggelos
Simo Särkkä
24
6
0
06 Sep 2019
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