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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
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot
  Classification
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
Yongxin Huang
Kexin Wang
Sourav Dutta
Raj Nath Patel
Goran Glavas
Iryna Gurevych
VLM
20
4
0
01 Nov 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
Zitong S. Chen
Chau Pham
Siqi Wang
Michael Doron
Nikita Moshkov
Bryan A. Plummer
Juan C. Caicedo
30
11
0
30 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
44
11
0
28 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
27
2
0
24 Oct 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume
  Segmentation
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
Y. Huang
Wanqing Xie
Mingzhen Li
Mingmei Cheng
Jinzhou Wu
Weixiao Wang
Jane You
Xiaofeng Liu
FedML
31
3
0
23 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
38
9
0
04 Oct 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
38
2
0
28 Sep 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label
  Smoothing in Transformer
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer
Leixin Yang
Yu Xiang
28
0
0
22 Sep 2023
Are Large Language Models Really Robust to Word-Level Perturbations?
Are Large Language Models Really Robust to Word-Level Perturbations?
Haoyu Wang
Guozheng Ma
Cong Yu
Ning Gui
Linrui Zhang
...
Sen Zhang
Li Shen
Xueqian Wang
Peilin Zhao
Dacheng Tao
KELM
26
22
0
20 Sep 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea
Cornelia Caragea
16
12
0
17 Aug 2023
AutoConv: Automatically Generating Information-seeking Conversations
  with Large Language Models
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models
Siheng Li
Cheng Yang
Yichun Yin
Xinyu Zhu
Ze-Long Cheng
Lifeng Shang
Xin Jiang
Qun Liu
Yujiu Yang
SyDa
35
3
0
12 Aug 2023
From Fake to Hyperpartisan News Detection Using Domain Adaptation
From Fake to Hyperpartisan News Detection Using Domain Adaptation
Razvan-Alexandru Smadu
Sebastian-Vasile Echim
Dumitru-Clementin Cercel
Iuliana Marin
Florin-Catalin Pop
27
3
0
04 Aug 2023
Feature-aware conditional GAN for category text generation
Feature-aware conditional GAN for category text generation
Xinze Li
K. Mao
Fanfan Lin
Zijian Feng
GAN
26
15
0
02 Aug 2023
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese
  Structure Network
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
Zhibo Tain
Xiaolin Zhang
Peng Zhang
Kun Zhan
31
9
0
26 Jul 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
50
3
0
20 Jul 2023
Cross-Lingual NER for Financial Transaction Data in Low-Resource
  Languages
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages
Sunisth Kumar
D. Liu
Alexandre Boulenger
26
1
0
16 Jul 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency
  Training
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
Zizheng Yan
Yushuang Wu
Yipeng Qin
Xiaoguang Han
Shuguang Cui
Guanbin Li
39
1
0
07 Jul 2023
Semi-supervised Relation Extraction via Data Augmentation and
  Consistency-training
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
Komal K. Teru
37
5
0
16 Jun 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive
  Label-Efficient Learning
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang
Yifang Chen
Gregory H. Canal
Stephen Mussmann
Arnav M. Das
...
Yinglun Zhu
Jeffrey Bilmes
S. Du
Kevin G. Jamieson
Robert D. Nowak
VLM
33
10
0
16 Jun 2023
Semi-supervised Cell Recognition under Point Supervision
Semi-supervised Cell Recognition under Point Supervision
Zhongyi Shui
Yizhi Zhao
S. Zheng
Yunlong Zhang
Honglin Li
Shichuan Zhang
Xiaoxuan Yu
Chenglu Zhu
Lin Yang
23
1
0
14 Jun 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
39
25
0
13 Jun 2023
On Counterfactual Data Augmentation Under Confounding
On Counterfactual Data Augmentation Under Confounding
Abbavaram Gowtham Reddy
Saketh Bachu
Saloni Dash
Charchit Sharma
Amit Sharma
V. Balasubramanian
CML
BDL
33
0
0
29 May 2023
Data Augmentation for Low-Resource Keyphrase Generation
Data Augmentation for Low-Resource Keyphrase Generation
Krishna Garg
Jishnu Ray Chowdhury
Cornelia Caragea
33
8
0
29 May 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential
  Decision Making
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making
Xuanjie Fang
Sijie Cheng
Yang Liu
Wen Wang
AAML
34
9
0
27 May 2023
Entailment as Robust Self-Learner
Entailment as Robust Self-Learner
Jiaxin Ge
Hongyin Luo
Yoon Kim
James R. Glass
42
3
0
26 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
37
2
0
23 May 2023
Rethinking Semi-supervised Learning with Language Models
Rethinking Semi-supervised Learning with Language Models
Zhengxiang Shi
Francesco Tonolini
Nikolaos Aletras
Emine Yilmaz
G. Kazai
Yunlong Jiao
32
18
0
22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
37
12
0
22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with
  Optimized Unlabeled Data Sampling
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
Y. Yin
Yu Wang
Gang Xu
29
4
0
04 May 2023
Making the Most of What You Have: Adapting Pre-trained Visual Language
  Models in the Low-data Regime
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime
Chuhan Zhang
Antoine Miech
Jiajun Shen
Jean-Baptiste Alayrac
Pauline Luc
VLM
VPVLM
41
2
0
03 May 2023
A Systematic Study of Knowledge Distillation for Natural Language
  Generation with Pseudo-Target Training
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
Nitay Calderon
Subhabrata Mukherjee
Roi Reichart
Amir Kantor
36
17
0
03 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
56
6
0
26 Apr 2023
Towards Realizing the Value of Labeled Target Samples: a Two-Stage
  Approach for Semi-Supervised Domain Adaptation
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
Mengqun Jin
Kai Li
Shuyan Li
Chunming He
Xiu Li
29
1
0
21 Apr 2023
ESimCSE Unsupervised Contrastive Learning Jointly with UDA
  Semi-Supervised Learning for Large Label System Text Classification Mode
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode
Ruan Lu
Zhou Hangcheng
Ran Meng
Zhao Jin
Qin JiaoYu
Wei Feng
Wang ChenZi
40
0
0
19 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive
  Self-Supervision and Prototype-Based Semi-Supervision
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe
Byoungjip Kim
Ho. Kang
Kyoungwon Park
Bogun Kim
Jaeseon Park
Joonseok Lee
Youngjune Gwon
SSL
26
1
0
19 Apr 2023
Self-training with dual uncertainty for semi-supervised medical image
  segmentation
Self-training with dual uncertainty for semi-supervised medical image segmentation
Zhanhong Qiu
Haitao Gan
Mingzhi Shi
Zhongwei Huang
Zhi Yang
11
2
0
10 Apr 2023
AI Model Disgorgement: Methods and Choices
AI Model Disgorgement: Methods and Choices
Alessandro Achille
Michael Kearns
Carson Klingenberg
Stefano Soatto
MU
28
11
0
07 Apr 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose
  Estimation with Consistency Training
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training
Mohammad Rezaei
Farnaz Farahanipad
Alex Dillhoff
V. Athitsos
3DH
42
2
0
27 Mar 2023
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
Chang-rui Liu
Weiming Zhang
Xiangru Lin
Wei Zhang
Xiao Tan
Junyu Han
Xiaomao Li
Errui Ding
Jingdong Wang
58
33
0
27 Mar 2023
Two-shot Video Object Segmentation
Two-shot Video Object Segmentation
Kun Yan
Xiao Li
Fangyun Wei
Jinglu Wang
Chenbin Zhang
Ping Wang
Yan Lu
VOS
28
14
0
21 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid
  Similarity
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
F. Wani
Maria Sofia Bucarelli
Fabrizio Silvestri
NoLa
37
3
0
16 Mar 2023
Active Teacher for Semi-Supervised Object Detection
Active Teacher for Semi-Supervised Object Detection
Peng Mi
Jianghang Lin
Yiyi Zhou
Yunhang Shen
Gen Luo
Xiaoshuai Sun
Liujuan Cao
Rongrong Fu
Qiang Xu
Rongrong Ji
52
61
0
15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Z. Yu
Yin Li
Yong Jae Lee
27
10
0
13 Mar 2023
Exploring Data Augmentation Methods on Social Media Corpora
Exploring Data Augmentation Methods on Social Media Corpora
Isabel Garcia Pietri
Kineret Stanley
35
0
0
03 Mar 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data
  with Convergence Analysis
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Nan Yang
Dong Yuan
Charles Z. Liu
Yong Deng
Wei Bao
FedML
66
5
0
23 Feb 2023
Data Augmentation for Neural NLP
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
16
6
0
22 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language
  Models
Scalable Prompt Generation for Semi-supervised Learning with Language Models
Yuhang Zhou
Suraj Maharjan
Bei Liu
VLM
34
13
0
18 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human
  Preferences
A State Augmentation based approach to Reinforcement Learning from Human Preferences
Mudit Verma
Subbarao Kambhampati
33
2
0
17 Feb 2023
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