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Semi-supervised Sequence Learning

Semi-supervised Sequence Learning

4 November 2015
Andrew M. Dai
Quoc V. Le
    SSL
ArXivPDFHTML

Papers citing "Semi-supervised Sequence Learning"

47 / 197 papers shown
Title
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
35
179
0
01 Mar 2018
Recurrent Neural Network-Based Semantic Variational Autoencoder for
  Sequence-to-Sequence Learning
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning
Myeongjun Jang
Seungwan Seo
Pilsung Kang
DRL
51
55
0
09 Feb 2018
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk
  Prediction
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger
Johnson Hsieh
Avesh Singh
N. Sohoni
Jack Wang
...
G. Marcus
Jose M. Sanchez
Carol Maguire
J. Olgin
M. Pletcher
HAI
33
130
0
07 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
Black-box Generation of Adversarial Text Sequences to Evade Deep
  Learning Classifiers
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Ji Gao
Jack Lanchantin
M. Soffa
Yanjun Qi
AAML
47
707
0
13 Jan 2018
Effective Use of Bidirectional Language Modeling for Transfer Learning
  in Biomedical Named Entity Recognition
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition
Devendra Singh Sachan
P. Xie
Mrinmaya Sachan
Eric Xing
MedIm
27
56
0
21 Nov 2017
On the Effective Use of Pretraining for Natural Language Inference
On the Effective Use of Pretraining for Natural Language Inference
Ignacio Cases
Minh-Thang Luong
Christopher Potts
33
6
0
05 Oct 2017
Deep Automated Multi-task Learning
Deep Automated Multi-task Learning
Davis Liang
Yang Shu
AIMat
27
9
0
16 Sep 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Yang Li
Quan Pan
Suhang Wang
Haiyun Peng
Tao Yang
Min Zhang
DRL
21
86
0
15 Sep 2017
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
35
2,824
0
09 Aug 2017
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
62
907
0
01 Aug 2017
Learning audio sequence representations for acoustic event
  classification
Learning audio sequence representations for acoustic event classification
Zixing Zhang
Ding Liu
Jing Han
Kun Qian
Björn Schuller
SSL
AI4TS
43
14
0
27 Jul 2017
Learning to Compose Task-Specific Tree Structures
Learning to Compose Task-Specific Tree Structures
Jihun Choi
Kang Min Yoo
Sang-goo Lee
18
189
0
10 Jul 2017
Dual Supervised Learning
Dual Supervised Learning
Yingce Xia
Tao Qin
Wei-neng Chen
Jiang Bian
Nenghai Yu
Tie-Yan Liu
SSL
32
143
0
03 Jul 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
37
82
0
29 May 2017
Semi-supervised sequence tagging with bidirectional language models
Semi-supervised sequence tagging with bidirectional language models
Matthew E. Peters
Bridger Waleed Ammar
Chandra Bhagavatula
Russell Power
24
634
0
29 Apr 2017
Learning to Skim Text
Learning to Skim Text
Adams Wei Yu
Hongrae Lee
Quoc V. Le
RALM
38
124
0
23 Apr 2017
Learning to Generate Reviews and Discovering Sentiment
Learning to Generate Reviews and Discovering Sentiment
Alec Radford
Rafal Jozefowicz
Ilya Sutskever
44
505
0
05 Apr 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
37
171
0
05 Mar 2017
Learning What Data to Learn
Learning What Data to Learn
Yang Fan
Fei Tian
Tao Qin
Jiang Bian
Tie-Yan Liu
13
79
0
28 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
24
383
0
27 Feb 2017
Learning to generate one-sentence biographies from Wikidata
Learning to generate one-sentence biographies from Wikidata
Andrew Chisholm
Will Radford
Ben Hachey
SyDa
82
110
0
21 Feb 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
30
390
0
07 Feb 2017
Neural Document Embeddings for Intensive Care Patient Mortality
  Prediction
Neural Document Embeddings for Intensive Care Patient Mortality Prediction
Paulina Grnarova
Florian Schmidt
Stephanie L. Hyland
Carsten Eickhoff
8
67
0
01 Dec 2016
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
Learning Generic Sentence Representations Using Convolutional Neural
  Networks
Learning Generic Sentence Representations Using Convolutional Neural Networks
Zhe Gan
Yunchen Pu
Ricardo Henao
Chunyuan Li
Xiaodong He
Lawrence Carin
SSL
34
98
0
23 Nov 2016
Dependency Sensitive Convolutional Neural Networks for Modeling
  Sentences and Documents
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents
Rui Zhang
Honglak Lee
Dragomir R. Radev
19
123
0
08 Nov 2016
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji Bousso Dieng
Chong-Jun Wang
Jianfeng Gao
John Paisley
24
243
0
05 Nov 2016
A multi-task learning model for malware classification with useful file
  access pattern from API call sequence
A multi-task learning model for malware classification with useful file access pattern from API call sequence
Xin Wang
Siu-Ming Yiu
59
29
0
19 Oct 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction
  Approach
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini
A. Rozza
A. Menon
Richard Nock
Lizhen Qu
NoLa
51
1,435
0
13 Sep 2016
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Trapit Bansal
David Belanger
Andrew McCallum
27
313
0
07 Sep 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
31
541
0
15 Aug 2016
WikiReading: A Novel Large-scale Language Understanding Task over
  Wikipedia
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
D. Hewlett
Alexandre Lacoste
Llion Jones
Illia Polosukhin
Andrew Fandrianto
Jay Han
Matthew Kelcey
David Berthelot
RALM
39
138
0
11 Aug 2016
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in
  Recurrent Neural Networks
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Hendrik Strobelt
Sebastian Gehrmann
Hanspeter Pfister
Alexander M. Rush
HAI
34
83
0
23 Jun 2016
Unsupervised Learning of Predictors from Unpaired Input-Output Samples
Unsupervised Learning of Predictors from Unpaired Input-Output Samples
Jianshu Chen
Po-Sen Huang
Xiaodong He
Jianfeng Gao
Li Deng
OOD
SSL
26
8
0
15 Jun 2016
Semi-Supervised Learning for Neural Machine Translation
Semi-Supervised Learning for Neural Machine Translation
Yong Cheng
Wenyuan Xu
Zhongjun He
W. He
Hua Wu
Maosong Sun
Yang Liu
40
251
0
15 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
Impact of Power System Partitioning on the Efficiency of Distributed
  Multi-Step Optimization
Impact of Power System Partitioning on the Efficiency of Distributed Multi-Step Optimization
Dongliang Chen
A. Bucchiarone
Zhihan Lv
23
12
0
31 May 2016
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence
  Correction
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction
A. Schmaltz
Yoon Kim
Alexander M. Rush
Stuart M. Shieber
25
42
0
16 Apr 2016
Learning Distributed Representations of Sentences from Unlabelled Data
Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill
Kyunghyun Cho
Anna Korhonen
SSL
24
570
0
10 Feb 2016
Supervised and Semi-Supervised Text Categorization using LSTM for Region
  Embeddings
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson
Tong Zhang
AI4TS
27
257
0
07 Feb 2016
Semi-supervised Question Retrieval with Gated Convolutions
Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei
Hrishikesh Joshi
Regina Barzilay
Tommi Jaakkola
K. Tymoshenko
Alessandro Moschitti
Lluís Màrquez i Villodre
RALM
32
106
0
17 Dec 2015
Multilingual Language Processing From Bytes
Multilingual Language Processing From Bytes
D. Gillick
Clifford Brunk
Oriol Vinyals
A. Subramanya
30
223
0
01 Dec 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
34
2,343
0
19 Nov 2015
Multi-task Sequence to Sequence Learning
Multi-task Sequence to Sequence Learning
Minh-Thang Luong
Quoc V. Le
Ilya Sutskever
Oriol Vinyals
Lukasz Kaiser
AIMat
59
806
0
19 Nov 2015
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
25
1,098
0
11 Nov 2015
Visualizing and Understanding Recurrent Networks
Visualizing and Understanding Recurrent Networks
A. Karpathy
Justin Johnson
Li Fei-Fei
HAI
40
1,096
0
05 Jun 2015
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