Unsupervised Data Augmentation for Consistency Training

29 April 2019

Papers citing "Unsupervised Data Augmentation for Consistency Training"

50 / 308 papers shown

Title
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework Tengteng Huang Yifan Sun Xun Wang Haotian Yao Chi Zhang 13 3 0 04 Oct 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation Zhe Xu Yixin Wang Donghuan Lu Lequan Yu Jiangpeng Yan Jie Luo Kai Ma Yefeng Zheng R. Tong 35 54 0 28 Sep 2021
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples Tong Sun Gang Yu 11 0 0 28 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming Ayush Maheshwari Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer Marina Danilevsky Lucian Popa 25 16 0 23 Sep 2021
Towards Zero-Label Language Learning Zirui Wang Adams Wei Yu Orhan Firat Yuan Cao SyDa 180 102 0 19 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Yu Wu Ji-Rong Wen AAML 19 7 0 13 Sep 2021
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks Kiran Karra C. Ashcraft Cash Costello AAML 19 0 0 09 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 40 22 0 09 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 33 31 0 01 Sep 2021
Influence-guided Data Augmentation for Neural Tensor Completion Sejoon Oh Sungchul Kim Ryan A. Rossi Srijan Kumar 15 10 0 23 Aug 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 17 86 0 23 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 21 56 0 21 Aug 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation Yuanyi Zhong Bodi Yuan Hong Wu Zhiqiang Yuan Jian Peng Yu-xiong Wang 30 167 0 20 Aug 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation Pan Xie Zexian Li Xiaohui Hu 26 11 0 19 Aug 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning Junkai Huang Chaowei Fang Weikai Chen Z. Chai Xiaolin K. Wei Pengxu Wei Liang Lin Guanbin Li OODD 48 63 0 12 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin C. Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 54 40 0 07 Aug 2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting Yongtuo Liu Sucheng Ren Liangyu Chai Han-Zhen Wu Jing Qin Dan Xu Shengfeng He 13 2 0 06 Aug 2021
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone Vasileios Papapanagiotou Christos Diou A. Delopoulos SSL 21 6 0 02 Aug 2021
Clustering by Maximizing Mutual Information Across Views Kien Do T. Tran Svetha Venkatesh VLM SSL 11 37 0 24 Jul 2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation Ruifei He Jihan Yang Xiaojuan Qi 13 115 0 23 Jul 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 26 54 0 11 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 28 332 0 07 Jul 2021
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering Gangwoo Kim Hyunjae Kim Jungsoo Park Jaewoo Kang 14 38 0 22 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection Yihe Tang Weifeng Chen Yijun Luo Yuting Zhang 34 177 0 19 Jun 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 34 613 0 18 Jun 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams Heitor Murilo Gomes Maciej Grzenda R. Mello Jesse Read Minh-Huong Le Nguyen Albert Bifet 26 43 0 16 Jun 2021
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets Simon Mille Kaustubh D. Dhole Saad Mahamood Laura Perez-Beltrachini Varun Gangal Mihir Kale Emiel van Miltenburg Sebastian Gehrmann ELM 23 22 0 16 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher Mengde Xu Zheng-Wei Zhang Han Hu Jianfeng Wang Lijuan Wang Fangyun Wei X. Bai Zicheng Liu 11 487 0 16 Jun 2021
Consistency Regularization for Cross-Lingual Fine-Tuning Bo Zheng Li Dong Shaohan Huang Wenhui Wang Zewen Chi Saksham Singhal Wanxiang Che Ting Liu Xia Song Furu Wei 13 58 0 15 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Mohit Bansal Diyi Yang 21 172 0 14 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 28 62 0 10 Jun 2021
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation Subhabrata Mukherjee Ahmed Hassan Awadallah Jianfeng Gao 17 22 0 08 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 13 8 0 08 Jun 2021
Self-Guided Contrastive Learning for BERT Sentence Representations Taeuk Kim Kang Min Yoo Sang-goo Lee SSL 20 202 0 03 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 17 17 0 01 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners Yabin Zhang Haojian Zhang Bin Deng Shuai Li K. Jia Lei Zhang 13 25 0 01 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 15 568 0 27 May 2021
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection D. Beddiar Md Saroar Jahan Mourad Oussalah 6 82 0 25 May 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification Seonghyeon Lee Dongha Lee Hwanjo Yu 19 4 0 14 May 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 29 796 0 07 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 144 68 0 04 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 16 225 0 30 Apr 2021
Entailment as Few-Shot Learner Sinong Wang Han Fang Madian Khabsa Hanzi Mao Hao Ma 30 183 0 29 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets Yuan-Hong Liao Amlan Kar Sanja Fidler VLM 15 29 0 26 Apr 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 17 32 0 09 Apr 2021
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation Octave Mariotti Hakan Bilen GAN 13 8 0 02 Apr 2021
Multiview Pseudo-Labeling for Semi-supervised Learning from Video Bo Xiong Haoqi Fan Kristen Grauman Christoph Feichtenhofer SSL 16 49 0 01 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 15 57 0 01 Apr 2021
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation Eu Wern Teh Terrance Devries Brendan Duke R. Jiang P. Aarabi Graham W. Taylor VLM 23 8 0 31 Mar 2021
Improving and Simplifying Pattern Exploiting Training Derek Tam Rakesh R Menon Mohit Bansal Shashank Srivastava Colin Raffel 10 149 0 22 Mar 2021