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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
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for
  Robotic Bin Picking
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking
Kai-xiang Chen
Ruizhi Cao
Stephen James
Yichuan Li
Yunhui Liu
Pieter Abbeel
Qi Dou
3DPC
35
26
0
14 Apr 2022
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for
  Multimodal Sentiment Detection
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Zhen Li
Bing Xu
Conghui Zhu
T. Zhao
38
71
0
12 Apr 2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Yueming Zhang
Xingxu Yao
Chao-Jung Liu
F. Chen
Xiaolin Song
Tengfei Xing
Runbo Hu
Hua Chai
Pengfei Xu
Guoshan Zhang
ObjD
36
7
0
09 Apr 2022
The Effects of Regularization and Data Augmentation are Class Dependent
The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero
Léon Bottou
Yann LeCun
33
94
0
07 Apr 2022
DAGAM: Data Augmentation with Generation And Modification
DAGAM: Data Augmentation with Generation And Modification
Byeong-Cheol Jo
Tak-Sung Heo
Yeongjoon Park
Yongmin Yoo
Won-Ik Cho
Kyungsun Kim
VLM
15
2
0
06 Apr 2022
Evolving Neural Selection with Adaptive Regularization
Evolving Neural Selection with Adaptive Regularization
Li Ding
Lee Spector
ODL
22
4
0
04 Apr 2022
Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations
Con2^{2}2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
M. Pérez-Carrasco
P. Protopapas
Guillermo Cabrera-Vives
17
7
0
04 Apr 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised
  Object Detection
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
Gang Li
Xiang Li
Yujie Wang
Yichao Wu
Ding Liang
Shanshan Zhang
12
91
0
30 Mar 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based
  Filtering
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering
Yingda Yin
Yingcheng Cai
He-Nan Wang
Baoquan Chen
26
16
0
29 Mar 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency
  Regularization
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan
Zhen Zhao
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
Yang Gao
28
33
0
27 Mar 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeon-ju Park
Seunghun Lee
S. Kim
Jinyoung Park
Jisu Jeong
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
16
49
0
26 Mar 2022
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance
  Segmentation?
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
Zhenyu Wang
Yali Li
Shengjin Wang
ISeg
16
29
0
25 Mar 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer
Harnessing Hard Mixed Samples with Decoupled Regularizer
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
59
18
0
21 Mar 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic
  Segmentation
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
24
42
0
18 Mar 2022
Learning Consistency from High-quality Pseudo-labels for Weakly
  Supervised Object Localization
Learning Consistency from High-quality Pseudo-labels for Weakly Supervised Object Localization
Kangbo Sun
Jie Zhu
WSOL
22
0
0
18 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
52
29
0
15 Mar 2022
SimMatch: Semi-supervised Learning with Similarity Matching
SimMatch: Semi-supervised Learning with Similarity Matching
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
41
171
0
14 Mar 2022
Regularising for invariance to data augmentation improves supervised
  learning
Regularising for invariance to data augmentation improves supervised learning
Aleksander Botev
Matthias Bauer
Soham De
32
14
0
07 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
30
79
0
04 Mar 2022
Improving Performance of Automated Essay Scoring by using
  back-translation essays and adjusted scores
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores
You-Jin Jong
Yong-Jin Kim
Ok-Chol Ri
17
6
0
01 Mar 2022
Robust Training under Label Noise by Over-parameterization
Robust Training under Label Noise by Over-parameterization
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLa
OOD
27
106
0
28 Feb 2022
Self-Training: A Survey
Self-Training: A Survey
Massih-Reza Amini
Vasilii Feofanov
Loïc Pauletto
Lies Hadjadj
Emilie Devijver
Yury Maximov
SSL
31
102
0
24 Feb 2022
A Semi-supervised Learning Approach with Two Teachers to Improve
  Breakdown Identification in Dialogues
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Qian Lin
Hwee Tou Ng
22
4
0
22 Feb 2022
Semi-Supervised Learning and Data Augmentation in Wearable-based
  Momentary Stress Detection in the Wild
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild
Han Yu
Akane Sano
18
11
0
22 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao
Ju Shen
Jin Xu
Bin Zhong
Li Xiao
29
3
0
17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
27
218
0
16 Feb 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
32
86
0
15 Feb 2022
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models
Yanchen Liu
Timo Schick
Hinrich Schütze
VLM
28
15
0
12 Feb 2022
A Survey on Programmatic Weak Supervision
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
24
91
0
11 Feb 2022
Learning with Neighbor Consistency for Noisy Labels
Learning with Neighbor Consistency for Noisy Labels
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
41
75
0
04 Feb 2022
Virtual Adversarial Training for Semi-supervised Breast Mass
  Classification
Virtual Adversarial Training for Semi-supervised Breast Mass Classification
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
28
5
0
25 Jan 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Andrés Villa
Kumail Alhamoud
Juan Carlos León Alcázar
Fabian Caba Heilbron
Victor Escorcia
Guohao Li
CLL
69
32
0
23 Jan 2022
Contrastive Regularization for Semi-Supervised Learning
Contrastive Regularization for Semi-Supervised Learning
Doyup Lee
Sungwoong Kim
Ildoo Kim
Yeongjae Cheon
Minsu Cho
Wook-Shin Han
SSL
13
40
0
17 Jan 2022
Semantic-based Data Augmentation for Math Word Problems
Semantic-based Data Augmentation for Math Word Problems
Ai Li
Jiaqing Liang
Yanghua Xiao
AAML
24
7
0
07 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees
BARACK: Partially Supervised Group Robustness With Guarantees
N. Sohoni
Maziar Sanjabi
Nicolas Ballas
Aditya Grover
Shaoliang Nie
Hamed Firooz
Christopher Ré
OOD
20
24
0
31 Dec 2021
Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting
  Previously Fact-Checked Claims
Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims
Qiang Sheng
Juan Cao
Xueyao Zhang
Xirong Li
L. Zhong
KELM
25
27
0
20 Dec 2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Yinghao Xu
Fangyun Wei
Xiao Sun
Ceyuan Yang
Yujun Shen
Bo Dai
Bolei Zhou
Stephen Lin
VLM
33
52
0
17 Dec 2021
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text
  Classification
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification
Hazel Kim
Daecheol Woo
Seong Joon Oh
Jeong-Won Cha
Yo-Sub Han
320
33
0
16 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
16
43
0
08 Dec 2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
174
86
0
06 Dec 2021
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
39
112
0
27 Nov 2021
Consistency Regularization for Deep Face Anti-Spoofing
Consistency Regularization for Deep Face Anti-Spoofing
Zezheng Wang
Zitong Yu
Xun Wang
Yunxiao Qin
Jiahong Li
Chenxu Zhao
Zhen Lei
Xin Liu
Size Li
Zhongyuan Wang
CVBM
21
24
0
24 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
41
10
0
23 Nov 2021
FILIP: Fine-grained Interactive Language-Image Pre-Training
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao
Runhu Huang
Lu Hou
Guansong Lu
Minzhe Niu
Hang Xu
Xiaodan Liang
Zhenguo Li
Xin Jiang
Chunjing Xu
VLM
CLIP
30
615
0
09 Nov 2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata Mukherjee
Xiaodong Liu
Guoqing Zheng
Saghar Hosseini
Hao Cheng
Greg Yang
Christopher Meek
Ahmed Hassan Awadallah
Jianfeng Gao
ELM
33
11
0
04 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chaudhary
Balaraman Ravindran
21
1
0
03 Nov 2021
Neural Analysis and Synthesis: Reconstructing Speech from
  Self-Supervised Representations
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi
Juheon Lee
W. Kim
Jie Hwan Lee
Hoon Heo
Kyogu Lee
37
150
0
27 Oct 2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from
  Small Datasets using Background Randomization
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
Marco Ferri
Dario Mantegazza
Elia Cereda
Nicky Zimmerman
L. Gambardella
Daniele Palossi
Jérôme Guzzi
Alessandro Giusti
32
0
0
27 Oct 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
39
32
0
26 Oct 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and
  System Design
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang
Shiyao Ma
Jiangtian Nie
Yi Wu
Qiang Yan
Xiaoke Xu
Dusit Niyato
FedML
15
16
0
26 Oct 2021
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