Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

13 April 2017

Papers citing "Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning"

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Title
Don't fear the unlabelled: safe semi-supervised learning via simple debiasing Hugo Schmutz O. Humbert Pierre-Alexandre Mattei 21 8 0 14 Mar 2022
SimMatch: Semi-supervised Learning with Similarity Matching Mingkai Zheng Shan You Lang Huang Fei Wang Chao Qian Chang Xu 59 172 0 14 Mar 2022
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound Feiyu Wang Qin Wang Wen Li Dong Xu Luc Van Gool 32 5 0 13 Mar 2022
Optimizer Amalgamation Tianshu Huang Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang MoMe 36 4 0 12 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 34 30 0 12 Mar 2022
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets Suraj Kothawade P. Reddy Ganesh Ramakrishnan Rishabh K. Iyer 14 0 0 10 Mar 2022
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision Yunyang Zhang Zhiqiang Gong Xiaohu Zheng Xiaoyu Zhao W. Yao UQCV 39 7 0 10 Mar 2022
Optical Flow Training under Limited Label Budget via Active Learning Shuai Yuan Xian Sun Hannah Kim Shuzhi Yu Carlo Tomasi 18 10 0 09 Mar 2022
$Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees$ Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees D. Thaker Paris V. Giampouras René Vidal AAML 15 5 0 09 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 53 10 0 09 Mar 2022
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation Cong Cao Tianwei Lin Dongliang He Fu Li Huanjing Yue Jingyu Yang Errui Ding 30 15 0 05 Mar 2022
A Survey on Metaverse: Fundamentals, Security, and Privacy Yuntao Wang Zhou Su Ning Zhang Rui Xing Dongxiao Liu Tom H. Luan X. Shen 48 808 0 05 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation Wenqiao Zhang Lei Zhu James Hallinan A. Makmur Shengyu Zhang Qingpeng Cai Beng Chin Ooi 35 80 0 04 Mar 2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation Yicheng Wu Zhonghua Wu Qianyi Wu Zongyuan Ge Jianfei Cai 31 135 0 02 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 29 12 0 01 Mar 2022
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey Saul Calderon-Ramirez Shengxiang-Yang David Elizondo OOD 13 19 0 01 Mar 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 46 43 0 27 Feb 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 26 48 0 25 Feb 2022
Self-Training: A Survey Massih-Reza Amini Vasilii Feofanov Loïc Pauletto Lies Hadjadj Emilie Devijver Yury Maximov SSL 67 103 0 24 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning Xihong Yang Xiaochang Hu Sihang Zhou Xinwang Liu En Zhu SSL 216 43 0 24 Feb 2022
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images Sara Mousavi Zhen Yang Kelley Cross D. Steadman A. Mockus 19 0 0 24 Feb 2022
Augmentation based unsupervised domain adaptation Mauricio Orbes-Arteaga Thomas Varsavsky Lauge Sørensen Mads Nielsen A. Pai Sebastien Ourselin Marc Modat Jorge Cardoso OOD 27 3 0 23 Feb 2022
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds Yushuang Wu Zizheng Yan Shengcai Cai Guanbin Li Yizhou Yu Xiaoguang Han Shuguang Cui 3DPC 3DV 35 16 0 22 Feb 2022
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild Han Yu Akane Sano 24 11 0 22 Feb 2022
Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees Franziska Boenisch Christopher Muhl Roy Rinberg Jannis Ihrig Adam Dziedzic 25 18 0 21 Feb 2022
Learning Representations Robust to Group Shifts and Adversarial Examples Ming-Chang Chiu Xuezhe Ma OOD 19 0 0 18 Feb 2022
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning G. Wang Jianxin Wu 17 1 0 18 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning Yao Yao Ju Shen Jin Xu Bin Zhong Li Xiao 29 3 0 17 Feb 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 32 86 0 15 Feb 2022
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark Yonghao Xu Pedram Ghamisi AAML 32 71 0 14 Feb 2022
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features Foivos Ntelemis Yaochu Jin S. Thomas OOD 32 4 0 14 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 27 33 0 11 Feb 2022
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition Zhigang Tu Jiaxu Zhang Hongyan Li Yujin Chen Junsong Yuan 40 76 0 08 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification Hazel Kim Jaeman Son Yo-Sub Han 26 3 0 05 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation Ruixiang Zhang Shuangfei Zhai Etai Littwin J. Susskind SSL 36 3 0 04 Feb 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Bo Li 20 10 0 03 Feb 2022
Deep Reference Priors: What is the best way to pretrain a model? Yansong Gao Rahul Ramesh Pratik Chaudhari BDL 25 5 0 01 Feb 2022
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks Jianren Wang Haiming Gang Siddarth Ancha Yi-Ting Chen David Held 3DPC 65 11 0 01 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information Changbin Li Suraj Kothawade F. Chen Rishabh K. Iyer 34 4 0 30 Jan 2022
Co-Regularized Adversarial Learning for Multi-Domain Text Classification Yuan Wu Diana Inkpen Ahmed El-Roby OOD 22 6 0 30 Jan 2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto Massih-Reza Amini Nicolas Winckler SSL SSeg 40 1 0 29 Jan 2022
Virtual Adversarial Training for Semi-supervised Breast Mass Classification Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu 31 5 0 25 Jan 2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning Jiwon Kim Kwang-seok Ryoo Gyuseong Lee Seokju Cho Junyoung Seo Daehwan Kim Hansang Cho Seung Wook Kim 37 1 0 25 Jan 2022
Neuro-Symbolic Entropy Regularization Kareem Ahmed Eric Wang Kai-Wei Chang Guy Van den Broeck 47 22 0 25 Jan 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang Ming Wang Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 41 23 0 21 Jan 2022
Contrastive Regularization for Semi-Supervised Learning Doyup Lee Sungwoong Kim Ildoo Kim Yeongjae Cheon Minsu Cho Wook-Shin Han SSL 18 40 0 17 Jan 2022
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task Himashi Peiris Zhaolin Chen Gary Egan Mehrtash Harandi 22 31 0 11 Jan 2022
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier B. Afonso Lilian Berton 24 3 0 10 Jan 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang Zhi-Li Wu Long Lian Stella X. Yu 36 94 0 05 Jan 2022