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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
ArXivPDFHTML

Papers citing "Unsupervised Data Augmentation for Consistency Training"

50 / 414 papers shown
Title
Learning Speaker Representation with Semi-supervised Learning approach
  for Speaker Profiling
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Shangeth Rajaa
Pham Van Tung
Chng Eng Siong
36
5
0
24 Oct 2021
RCT: Random Consistency Training for Semi-supervised Sound Event
  Detection
RCT: Random Consistency Training for Semi-supervised Sound Event Detection
Nian Shao
Erfan Loweimi
Xiaofei Li
29
13
0
21 Oct 2021
Metadata Shaping: Natural Language Annotations for the Tail
Metadata Shaping: Natural Language Annotations for the Tail
Simran Arora
Sen Wu
Enci Liu
Christopher Ré
32
0
0
16 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
255
862
0
15 Oct 2021
Few-shot Controllable Style Transfer for Low-Resource Multilingual
  Settings
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
Kalpesh Krishna
Deepak Nathani
Xavier Garcia
Bidisha Samanta
Partha P. Talukdar
40
24
0
14 Oct 2021
Identifying Introductions in Podcast Episodes from Automatically
  Generated Transcripts
Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts
Elise Jing
K. Schneck
Dennis Egan
Scott A. Waterman
26
2
0
14 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels
  with Overclustering and Inverse Cross-Entropy
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Lars Schmarje
Johannes Brunger
M. Santarossa
Simon-Martin Schroder
R. Kiko
Reinhard Koch
47
17
0
13 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
30
8
0
12 Oct 2021
Weakly Supervised Contrastive Learning
Weakly Supervised Contrastive Learning
Mingkai Zheng
Fei-Yue Wang
Shan You
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
SSL
40
121
0
10 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang
Xinyang Chen
Jianmin Wang
Mingsheng Long
32
1
0
09 Oct 2021
Using Psuedolabels for training Sentiment Classifiers makes the model
  generalize better across datasets
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets
N. Reddy
Muktabh Mayank Srivastava
24
0
0
05 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
130
270
0
05 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
20
3
0
04 Oct 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning
  for Semi-supervised Medical Image Segmentation
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Zhe Xu
Yixin Wang
Donghuan Lu
Lequan Yu
Jiangpeng Yan
Jie Luo
Kai Ma
Yefeng Zheng
R. Tong
35
55
0
28 Sep 2021
A multi-stage semi-supervised improved deep embedded clustering method
  for bearing fault diagnosis under the situation of insufficient labeled
  samples
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples
Tong Sun
Gang Yu
16
0
0
28 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised
  Data Programming
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
Ayush Maheshwari
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
Marina Danilevsky
Lucian Popa
35
16
0
23 Sep 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
188
102
0
19 Sep 2021
Self-Training with Differentiable Teacher
Self-Training with Differentiable Teacher
Simiao Zuo
Yue Yu
Chen Liang
Haoming Jiang
Siawpeng Er
Chao Zhang
T. Zhao
H. Zha
41
14
0
15 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for
  Fine-tuning Pre-trained Models
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou
Wayne Xin Zhao
Sirui Wang
Fuzheng Zhang
Wei Yu Wu
Ji-Rong Wen
AAML
21
7
0
13 Sep 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated
  Semi-supervised Learning
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
Liwei Che
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
25
23
0
12 Sep 2021
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural
  Networks
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks
Kiran Karra
C. Ashcraft
Cash Costello
AAML
29
0
0
09 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
48
22
0
09 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text
  Classification
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
Shuhuai Ren
Jinchao Zhang
Lei Li
Xu Sun
Jie Zhou
38
31
0
01 Sep 2021
Influence-guided Data Augmentation for Neural Tensor Completion
Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh
Sungchul Kim
Ryan A. Rossi
Srijan Kumar
28
10
0
23 Aug 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
Eungyeup Kim
Jihyeon Janel Lee
Jaegul Choo
27
86
0
23 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and
  Pseudo-Labeling
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
FedML
26
56
0
21 Aug 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-xiong Wang
38
167
0
20 Aug 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive
  Machine Translation
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
Pan Xie
Zexian Li
Xiaohui Hu
34
11
0
19 Aug 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
50
63
0
12 Aug 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
28
218
0
09 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
C. L. P. Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
62
40
0
07 Aug 2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Yongtuo Liu
Sucheng Ren
Liangyu Chai
Han-Zhen Wu
Jing Qin
Dan Xu
Shengfeng He
13
2
0
06 Aug 2021
Self-Supervised Feature Learning of 1D Convolutional Neural Networks
  with Contrastive Loss for Eating Detection Using an In-Ear Microphone
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone
Vasileios Papapanagiotou
Christos Diou
A. Delopoulos
SSL
21
6
0
02 Aug 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLM
SSL
11
37
0
24 Jul 2021
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Zhipeng Luo
Zhongang Cai
Changqing Zhou
Gong-Duo Zhang
Haiyu Zhao
Shuai Yi
Shijian Lu
Hongsheng Li
Shanghang Zhang
Ziwei Liu
3DPC
27
84
0
23 Jul 2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
  Segmentation: A Baseline Investigation
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He
Jihan Yang
Xiaojuan Qi
15
115
0
23 Jul 2021
Back-Translated Task Adaptive Pretraining: Improving Accuracy and
  Robustness on Text Classification
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
Junghoon Lee
Jounghee Kim
Pilsung Kang
VLM
11
5
0
22 Jul 2021
AUGCO: Augmentation Consistency-guided Self-training for Source-free
  Domain Adaptive Semantic Segmentation
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
TTA
26
21
0
21 Jul 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing
  Self-Training
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Fangyuan Zhang
Tianxiang Pan
Bin Wang
34
54
0
11 Jul 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
36
334
0
07 Jul 2021
Learn to Resolve Conversational Dependency: A Consistency Training
  Framework for Conversational Question Answering
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
Gangwoo Kim
Hyunjae Kim
Jungsoo Park
Jaewoo Kang
30
38
0
22 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object
  Detection
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
36
177
0
19 Jun 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision
  Transformers
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner
Alexander Kolesnikov
Xiaohua Zhai
Ross Wightman
Jakob Uszkoreit
Lucas Beyer
ViT
66
616
0
18 Jun 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data
  Streams
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams
Heitor Murilo Gomes
Maciej Grzenda
R. Mello
Jesse Read
Minh-Huong Le Nguyen
Albert Bifet
38
44
0
16 Jun 2021
Automatic Construction of Evaluation Suites for Natural Language
  Generation Datasets
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets
Simon Mille
Kaustubh D. Dhole
Saad Mahamood
Laura Perez-Beltrachini
Varun Gangal
Mihir Kale
Emiel van Miltenburg
Sebastian Gehrmann
ELM
42
22
0
16 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
End-to-End Semi-Supervised Object Detection with Soft Teacher
Mengde Xu
Zheng-Wei Zhang
Han Hu
Jianfeng Wang
Lijuan Wang
Fangyun Wei
X. Bai
Zicheng Liu
28
489
0
16 Jun 2021
Consistency Regularization for Cross-Lingual Fine-Tuning
Consistency Regularization for Cross-Lingual Fine-Tuning
Bo Zheng
Li Dong
Shaohan Huang
Wenhui Wang
Zewen Chi
Saksham Singhal
Wanxiang Che
Ting Liu
Xia Song
Furu Wei
19
58
0
15 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
28
172
0
14 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
36
62
0
10 Jun 2021
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
Subhabrata Mukherjee
Ahmed Hassan Awadallah
Jianfeng Gao
19
22
0
08 Jun 2021
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