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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
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
22
165
0
23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
S. Hoi
SSL
21
252
0
23 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO
  Approximations
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
H. Feng
Kezhi Kong
Minghao Chen
Tianye Zhang
Minfeng Zhu
Wei Chen
VLM
DRL
42
24
0
21 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
17
2
0
19 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
18
497
0
03 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
30
226
0
26 Oct 2020
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Xin Li
Lidong Bing
Wenxuan Zhang
Zheng Li
Wai Lam
50
25
0
23 Oct 2020
Unsupervised Data Augmentation with Naive Augmentation and without
  Unlabeled Data
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
David Lowell
Brian Howard
Zachary Chase Lipton
Byron C. Wallace
19
23
0
22 Oct 2020
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
UFO2^22: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Xuan Li
A. Schwing
Jan Kautz
ObjD
198
35
0
21 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna
John Wieting
Mohit Iyyer
24
237
0
12 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for
  Semi-Supervised Learning
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
22
26
0
12 Oct 2020
Automatic Data Augmentation for 3D Medical Image Segmentation
Automatic Data Augmentation for 3D Medical Image Segmentation
Ju Xu
Mengzhang Li
Zhanxing Zhu
MedIm
15
72
0
07 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
36
62
0
05 Oct 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained
  Transformers?
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Shayne Longpre
Yu Wang
Christopher DuBois
ViT
17
83
0
05 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural
  Language Understanding and Generation
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
Dinghan Shen
Ming Zheng
Yelong Shen
Yanru Qu
Weizhu Chen
AAML
29
130
0
29 Sep 2020
On Data Augmentation for Extreme Multi-label Classification
On Data Augmentation for Extreme Multi-label Classification
Danqing Zhang
Tao Li
H. Zhang
Bing Yin
12
25
0
22 Sep 2020
GraphCrop: Subgraph Cropping for Graph Classification
GraphCrop: Subgraph Cropping for Graph Classification
Yiwei Wang
Wei Wang
Yuxuan Liang
Yujun Cai
Bryan Hooi
17
57
0
22 Sep 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
19
155
0
21 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
17
159
0
17 Jul 2020
DACS: Domain Adaptation via Cross-domain Mixed Sampling
DACS: Domain Adaptation via Cross-domain Mixed Sampling
Wilhelm Tranheden
Viktor Olsson
Juliano Pinto
Lennart Svensson
21
351
0
17 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
24
330
0
15 Jul 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in
  Semi-supervised Learning
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
36
95
0
02 Jul 2020
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning
  with Keywords and Sentence Length Estimation
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation
Yuma Koizumi
Daiki Takeuchi
Yasunori Ohishi
N. Harada
K. Kashino
19
22
0
01 Jul 2020
Rethinking Distributional Matching Based Domain Adaptation
Rethinking Distributional Matching Based Domain Adaptation
Bo-wen Li
Yezhen Wang
Tong Che
Shanghang Zhang
Sicheng Zhao
Pengfei Xu
Wei Zhou
Yoshua Bengio
Kurt Keutzer
OOD
22
59
0
23 Jun 2020
Open Source Software for Efficient and Transparent Reviews
Open Source Software for Efficient and Transparent Reviews
R. Schoot
J. D. Bruin
Raoul Schram
Parisa Zahedi
J. D. Boer
...
Yongchao Ma
Qixiang Fang
Sybren Hindriks
L. Tummers
Daniel L. Oberski
19
493
0
22 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
48
3,998
0
17 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
48
645
0
11 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
30
407
0
11 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation
  Learning
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan
Yen-Chun Chen
Linjie Li
Chen Zhu
Yu Cheng
Jingjing Liu
ObjD
VLM
35
488
0
11 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
24
294
0
09 Jun 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient
  Language Processing
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai
Guokun Lai
Yiming Yang
Quoc V. Le
48
229
0
05 Jun 2020
Pseudo-Representation Labeling Semi-Supervised Learning
Pseudo-Representation Labeling Semi-Supervised Learning
Song-Bo Yang
Tian-li Yu
19
3
0
31 May 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
20
40,023
0
28 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
38
493
0
10 May 2020
Teaching Machine Comprehension with Compositional Explanations
Teaching Machine Comprehension with Compositional Explanations
Qinyuan Ye
Xiao Huang
Elizabeth Boschee
Xiang Ren
LRM
ReLM
19
34
0
02 May 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in
  Sentiment Analysis Research
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria
Devamanyu Hazarika
Navonil Majumder
Rada Mihalcea
42
207
0
01 May 2020
Generative Data Augmentation for Commonsense Reasoning
Generative Data Augmentation for Commonsense Reasoning
Yiben Yang
Chaitanya Malaviya
Jared Fernandez
Swabha Swayamdipta
Ronan Le Bras
Ji-ping Wang
Chandra Bhagavatula
Yejin Choi
Doug Downey
LRM
22
91
0
24 Apr 2020
Learning to Detect Important People in Unlabelled Images for
  Semi-supervised Important People Detection
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
Fa-Ting Hong
Wei-Hong Li
Weishi Zheng
37
14
0
16 Apr 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
28
3,916
0
10 Apr 2020
Deep Entity Matching with Pre-Trained Language Models
Deep Entity Matching with Pre-Trained Language Models
Yuliang Li
Jinfeng Li
Yoshihiko Suhara
A. Doan
W. Tan
VLM
17
373
0
01 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun
Jongjin Park
Kimin Lee
Jinwoo Shin
27
274
0
31 Mar 2020
Learning by Analogy: Reliable Supervision from Transformations for
  Unsupervised Optical Flow Estimation
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation
L. Liu
Jiangning Zhang
Ruifei He
Yong Liu
Yabiao Wang
Ying Tai
Donghao Luo
Chengjie Wang
Jilin Li
Feiyue Huang
30
175
0
29 Mar 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
28
709
0
19 Mar 2020
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Yichun Shi
Anil K. Jain
CVBM
48
1
0
17 Mar 2020
Understanding and Mitigating the Tradeoff Between Robustness and
  Accuracy
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
AAML
46
222
0
25 Feb 2020
Semi-Supervised Neural Architecture Search
Semi-Supervised Neural Architecture Search
Renqian Luo
Xu Tan
Rui Wang
Tao Qin
Enhong Chen
Tie-Yan Liu
13
88
0
24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
78
18,314
0
13 Feb 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
32
153
0
11 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
104
3,464
0
21 Jan 2020
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