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
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 38 52 0 10 May 2019
S4L: Self-Supervised Semi-Supervised Learning Xiaohua Zhai Avital Oliver Alexander Kolesnikov Lucas Beyer SSL VLM 46 787 0 09 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 30 42 0 07 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 58 2,989 0 06 May 2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks Chunxu Zhang Jiaxu Cui Bo Yang 29 3 0 06 May 2019
Semi-supervised Acoustic Event Detection based on tri-training Bowen Shi Ming Sun Chieh-Chi Kao Viktor Rozgic Spyros Matsoukas Chao Wang 19 19 0 29 Apr 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 61 2,290 0 29 Apr 2019
Adversarial Dropout for Recurrent Neural Networks Sungrae Park Kyungwoo Song Mingi Ji Wonsung Lee Il-Chul Moon 6 6 0 22 Apr 2019
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice M. Das Yang Yu Devendra Singh Dhami Gautam Kunapuli Sriraam Natarajan 20 0 0 15 Apr 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 13 621 0 09 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 19 24 0 08 Apr 2019
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift Michal Zajac Konrad Zolna Stanislaw Jastrzebski 27 12 0 06 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 22 25 0 05 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 14 238 0 27 Mar 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 37 179 0 27 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 39 756 0 09 Mar 2019
Semi-Supervised Few-Shot Learning with Prototypical Random Walks A. Ayyad Yuchen Li Nassir Navab Shadi Albarqouni Mohamed Elhoseiny 15 7 0 06 Mar 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 24 24 0 28 Feb 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 24 122 0 28 Feb 2019
Adversarial Attacks on Time Series Fazle Karim Somshubra Majumdar H. Darabi AI4TS 23 96 0 27 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 63 0 25 Feb 2019
Visualization, Discriminability and Applications of Interpretable Saak Features Abinaya Manimaran T. Ramanathan Suya You C.-C. Jay Kuo FAtt 18 8 0 25 Feb 2019
Learning Dual Retrieval Module for Semi-supervised Relation Extraction Hongtao Lin Jun Yan Meng Qu Xiang Ren 13 60 0 20 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 219 0 20 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 20 99 0 07 Feb 2019
Semi-Supervised Learning by Label Gradient Alignment Jacob Jackson John Schulman 34 20 0 06 Feb 2019
Pairwise Teacher-Student Network for Semi-Supervised Hashing Shifeng Zhang Jianmin Li Bo Zhang 11 7 0 02 Feb 2019
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation Jongyeong Lee Nontawat Charoenphakdee Seiichi Kuroki Masashi Sugiyama 16 11 0 30 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 63 2,500 0 24 Jan 2019
Robust Watermarking of Neural Network with Exponential Weighting Ryota Namba Jun Sakuma AAML 22 137 0 18 Jan 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning Lu Liu R. Tan 27 32 0 17 Jan 2019
Multi-class Classification without Multi-class Labels Yen-Chang Hsu Zhaoyang Lv Joel Schlosser Phillip Odom Z. Kira 18 164 0 02 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 23 275 0 26 Dec 2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 29 63 0 20 Dec 2018
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets Hong-Yu Zhou Avital Oliver Jianxin Wu Yefeng Zheng 24 22 0 13 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
AutoGAN: Robust Classifier Against Adversarial Attacks Blerta Lindqvist Shridatt Sugrim R. Izmailov AAML 29 7 0 08 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 43 804 0 06 Dec 2018
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets Yaling Tao Kentaro Takagi Kouta Nakata 14 16 0 06 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 194 275 0 03 Dec 2018
Unsupervised Domain Adaptation using Generative Models and Self-ensembling Eman T. Hassan Xin Chen David J. Crandall OOD 20 7 0 02 Dec 2018
On variation of gradients of deep neural networks Yongdai Kim Dongha Kim ODL FAtt MLT 21 0 0 02 Dec 2018
FineFool: Fine Object Contour Attack via Attention Jinyin Chen Haibin Zheng Hui Xiong Mengmeng Su AAML 25 3 0 01 Dec 2018
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu Ke Wang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 183 124 0 29 Nov 2018
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression Conghui Li Zhaocheng Zhu Yuming Zhao CVBM 8 0 0 16 Nov 2018
Co-regularized Alignment for Unsupervised Domain Adaptation Abhishek Kumar P. Sattigeri Kahini Wadhawan Leonid Karlinsky Rogerio Feris William T. Freeman G. Wornell OOD 16 157 0 13 Nov 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 30 318 0 13 Nov 2018
Adversarial Sampling and Training for Semi-Supervised Information Retrieval Dae Hoon Park Yi-Ju Chang FedML 25 101 0 09 Nov 2018
Weakly supervised CRNN system for sound event detection with large-scale unlabeled in-domain data Dezhi Wang Lilun Zhang C. Bao Kele Xu Boqing Zhu Qiuqiang Kong 11 6 0 01 Nov 2018
Unauthorized AI cannot Recognize Me: Reversible Adversarial Example Jiayang Liu Weiming Zhang Kazuto Fukuchi Youhei Akimoto Jun Sakuma AAML 24 28 0 01 Nov 2018