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Unsupervised Data Augmentation for Consistency Training

Unsupervised Data Augmentation for Consistency Training

29 April 2019
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
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Papers citing "Unsupervised Data Augmentation for Consistency Training"

14 / 414 papers shown
Title
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,589
0
21 Jan 2020
Proposal Learning for Semi-Supervised Object Detection
Proposal Learning for Semi-Supervised Object Detection
Peng Tang
Chetan Ramaiah
Yan Wang
Ran Xu
Caiming Xiong
28
100
0
15 Jan 2020
Semi-Supervised Learning with Normalizing Flows
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov
Polina Kirichenko
Marc Finzi
A. Wilson
DRL
BDL
25
111
0
30 Dec 2019
AutoDiscern: Rating the Quality of Online Health Information with
  Hierarchical Encoder Attention-based Neural Networks
AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks
Laura Kinkead
Ahmed Allam
Michael Krauthammer
17
19
0
30 Dec 2019
Parting with Illusions about Deep Active Learning
Parting with Illusions about Deep Active Learning
Sudhanshu Mittal
Maxim Tatarchenko
Özgün Çiçek
Thomas Brox
VLM
21
59
0
11 Dec 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
55
2,362
0
11 Nov 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial
  Network to predict RSVP Events
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
Sharaj Panwar
P. Rad
T. Jung
Yufei Huang
GAN
29
50
0
11 Nov 2019
Consistency Regularization for Generative Adversarial Networks
Consistency Regularization for Generative Adversarial Networks
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
GAN
20
284
0
26 Oct 2019
Reducing Domain Gap by Reducing Style Bias
Reducing Domain Gap by Reducing Style Bias
Hyeonseob Nam
HyunJae Lee
Jongchan Park
Wonjun Yoon
Donggeun Yoo
25
61
0
25 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
84
3,411
0
30 Sep 2019
Bridging the domain gap in cross-lingual document classification
Bridging the domain gap in cross-lingual document classification
Guokun Lai
Barlas Oğuz
Yiming Yang
Veselin Stoyanov
VLM
24
14
0
16 Sep 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
33
46
0
21 Jun 2019
Compositional Coding Capsule Network with K-Means Routing for Text
  Classification
Compositional Coding Capsule Network with K-Means Routing for Text Classification
Hao Ren
Hong-wei Lu
22
53
0
22 Oct 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
202
243
0
14 Jun 2018
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