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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 / 308 papers shown
Title
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
David Aparco-Cardenas
Jancarlo F. Gomes
Alexandre X. Falcão
Pedro J. de Rezende
41
0
0
25 Apr 2025
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations
Junsong Zhang
Chunyu Lin
Zhijie Shen
Lang Nie
K. Liao
Yao Zhao
33
0
0
03 Mar 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
127
5
0
21 Feb 2025
TCProF: Time-Complexity Prediction SSL Framework
TCProF: Time-Complexity Prediction SSL Framework
Joonghyuk Hahn
Hyeseon Ahn
Jungin Kim
Soohan Lim
Yo-Sub Han
37
0
0
10 Feb 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
66
13
0
28 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
88
12
0
31 Dec 2024
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han
Jidong Yuan
Chixuan Wei
Zhongyang Yu
143
1
0
14 Dec 2024
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian
Liuhua Peng
Zhijian Zhou
M. Gong
Feng Liu
Feng Liu
82
0
0
30 Nov 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
43
0
0
15 Oct 2024
Browsing without Third-Party Cookies: What Do You See?
Browsing without Third-Party Cookies: What Do You See?
Maxwell Lin
Shihan Lin
Helen Wu
Karen Wang
Xiaowei Yang
BDL
51
8
0
14 Oct 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
  Contrastive Learning for Text Classification
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou
Yichuan Li
Kyumin Lee
26
3
0
26 Sep 2024
Enhancing elusive clues in knowledge learning by contrasting attention of language models
Enhancing elusive clues in knowledge learning by contrasting attention of language models
Jian Gao
Xiao Zhang
Ji Wu
Miao Li
36
0
0
26 Sep 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Kun Song
Zhiquan Tan
Bochao Zou
Jiansheng Chen
Huimin Ma
Weiran Huang
37
0
0
25 Sep 2024
Improving 3D Semi-supervised Learning by Effectively Utilizing All
  Unlabelled Data
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul
Zachary Patterson
Nizar Bouguila
24
0
0
21 Sep 2024
Semi-Supervised 3D Object Detection with Channel Augmentation using
  Transformation Equivariance
Semi-Supervised 3D Object Detection with Channel Augmentation using Transformation Equivariance
Minju Kang
Taehun Kong
Tae-Kyun Kim
3DPC
21
0
0
10 Sep 2024
A Small Claims Court for the NLP: Judging Legal Text Classification
  Strategies With Small Datasets
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets
Mariana Y. Noguti
Edduardo Vellasques
Luiz Eduardo Soares de Oliveira
AILaw
46
1
0
09 Sep 2024
Weakly Contrastive Learning via Batch Instance Discrimination and
  Feature Clustering for Small Sample SAR ATR
Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATR
Yikui Zhai
Wenlve Zhou
Bing Sun
Jingwen Li
Qirui Ke
...
Junying Gan
Chaoyun Mai
R. D. Labati
Vincenzo Piuri
F. Scotti
19
19
0
07 Aug 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
36
1
0
16 Jul 2024
Robot Instance Segmentation with Few Annotations for Grasping
Robot Instance Segmentation with Few Annotations for Grasping
Moshe Kimhi
David Vainshtein
Chaim Baskin
Dotan Di Castro
48
2
0
01 Jul 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
33
2
0
22 Jun 2024
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Sungwon Park
Sungwon Han
Xing Xie
Jae-Gil Lee
Meeyoung Cha
51
1
0
17 Jun 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature
  Adaptation
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang
Ruibing Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
19
4
0
31 May 2024
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
Yiting Dong
Xiang-Yu He
Guobin Shen
Dongcheng Zhao
Yang Li
Yi Zeng
35
0
0
29 May 2024
Mesh Denoising Transformer
Mesh Denoising Transformer
Wenbo Zhao
Xianming Liu
Deming Zhai
Junjun Jiang
Xiangyang Ji
AI4CE
16
0
0
10 May 2024
Reinforcement Learning-Guided Semi-Supervised Learning
Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari
Hanping Zhang
Yuhong Guo
OffRL
23
0
0
02 May 2024
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
Abhishek Jha
Y. S. Rawat
Shruti Vyas
35
1
0
21 Apr 2024
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Huayi Zhou
Fei Jiang
Hongtao Lu
Yong Rui
Hongtao Lu
Kui Jia
43
0
0
03 Apr 2024
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via
  Automating Deep Neural Network Porting for Mobile Deployment
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
Hongtao Huang
Xiaojun Chang
Wen Hu
Lina Yao
17
0
0
21 Feb 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
44
0
0
18 Feb 2024
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
Ying-Dong Zang
Chenglong Fu
Runlong Cao
Didi Zhu
Min Zhang
Wenjun Hu
Lanyun Zhu
Tianrun Chen
26
6
0
08 Feb 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
Huiling Qin
Xianyuan Zhan
Yuanxun Li
Yu Zheng
17
0
0
28 Dec 2023
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
19
2
0
20 Dec 2023
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection
  for Semi-supervised Fine-Grained Learning
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
26
4
0
19 Dec 2023
Mixed Pseudo Labels for Semi-Supervised Object Detection
Mixed Pseudo Labels for Semi-Supervised Object Detection
Ze-Yi Chen
Wenwei Zhang
Xinjiang Wang
Kai Chen
Zhi Wang
ObjD
29
10
0
12 Dec 2023
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
12
5
0
06 Dec 2023
Leveraging Domain Adaptation and Data Augmentation to Improve Quránic
  IR in English and Arabic
Leveraging Domain Adaptation and Data Augmentation to Improve Quránic IR in English and Arabic
Vera Pavlova
21
2
0
05 Dec 2023
Meta Co-Training: Two Views are Better than One
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger
Dimitrios I. Diochnos
VLM
25
2
0
29 Nov 2023
Pseudo Label-Guided Data Fusion and Output Consistency for
  Semi-Supervised Medical Image Segmentation
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation
Tao Wang
Yuanbin Chen
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Bizhe Bai
Tao Tan
Min Du
Qinquan Gao
Tong Tong
21
0
0
17 Nov 2023
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical
  Image Segmentation
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation
Heejoon Koo
31
0
0
10 Nov 2023
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
13
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
20
9
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
36
11
0
28 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
26
3
0
23 Oct 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
29
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
19
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
21
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
8
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
19
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
17
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
21
15
0
02 Aug 2023
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