Unsupervised Data Augmentation for Consistency Training

29 April 2019

Papers citing "Unsupervised Data Augmentation for Consistency Training"

50 / 308 papers shown

Title
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network Zhibo Tain Xiaolin Zhang Peng Zhang Kun Zhan 24 9 0 26 Jul 2023
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 21 3 0 20 Jul 2023
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages Sunisth Kumar D. Liu Alexandre Boulenger 21 1 0 16 Jul 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 30 1 0 07 Jul 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training Komal K. Teru 35 5 0 16 Jun 2023
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 21 1 0 14 Jun 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 26 0 0 29 May 2023
Data Augmentation for Low-Resource Keyphrase Generation Krishna Garg Jishnu Ray Chowdhury Cornelia Caragea 31 8 0 29 May 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making Xuanjie Fang Sijie Cheng Yang Liu Wen Wang AAML 24 9 0 27 May 2023
Entailment as Robust Self-Learner Jiaxin Ge Hongyin Luo Yoon Kim James R. Glass 25 3 0 26 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 20 2 0 23 May 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 27 17 0 22 May 2023
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 19 12 0 22 May 2023
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 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 Y. Yin Yu Wang Gang Xu 24 4 0 04 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao W. Wang Yifan Zhang 43 6 0 26 Apr 2023
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 16 1 0 21 Apr 2023
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 22 0 0 19 Apr 2023
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 13 1 0 19 Apr 2023
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 15 11 0 07 Apr 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training Mohammad Rezaei Farnaz Farahanipad Alex Dillhoff V. Athitsos 3DH 24 2 0 27 Mar 2023
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 49 33 0 27 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 27 3 0 16 Mar 2023
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 50 60 0 15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 16 10 0 13 Mar 2023
Exploring Data Augmentation Methods on Social Media Corpora Isabel Garcia Pietri Kineret Stanley 33 0 0 03 Mar 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis Nan Yang Dong Yuan Charles Z. Liu Yong Deng Wei Bao FedML 53 5 0 23 Feb 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 6 6 0 22 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language Models Yuhang Zhou Suraj Maharjan Bei Liu VLM 26 13 0 18 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 25 2 0 17 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 37 4 0 17 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 33 27 0 14 Feb 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation Chuanglu Zhu Kebin Liu Wenqi Tang Ke Mei Jiaqi Zou Tiejun Huang 49 1 0 14 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 17 0 0 07 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 27 6 0 07 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 23 28 0 30 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 22 141 0 26 Jan 2023
FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs Niels van der Heijden Ekaterina Shutova H. Yannakoudakis 18 0 0 25 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 21 6 0 24 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 21 0 0 11 Jan 2023
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction Jun Gao Changlong Yu Wei Wang Huan Zhao Ruifeng Xu 18 33 0 06 Jan 2023
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers Haojie Yu Kangnian Zhao Xiaoming Xu ViT 21 1 0 04 Jan 2023
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher Kei-Sing Ng Qingchen Wang VLM 8 1 0 27 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 31 1 0 20 Dec 2022
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling Qinyi Deng Yong Guo Zhibang Yang Haolin Pan Jian Chen 20 10 0 13 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 18 72 0 09 Dec 2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 8 37 0 06 Dec 2022
Learning with Partial Labels from Semi-supervised Perspective Ximing Li Yuanzhi Jiang C. Li Yiyuan Wang Jihong Ouyang SSL 19 15 0 24 Nov 2022
Evolutionary Generalized Zero-Shot Learning Dubing Chen Haofeng Zhang Yang Long VLM 21 1 0 23 Nov 2022