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
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model Yujia Wang Nhat Ho David J. Miller Anima Anandkumar Michael I. Jordan Richard G. Baraniuk BDL GAN 29 8 0 01 Nov 2018
Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement Robert Harb Franz Pernkopf 14 7 0 16 Oct 2018
A Kernel Perspective for Regularizing Deep Neural Networks A. Bietti Grégoire Mialon Dexiong Chen Julien Mairal 16 15 0 30 Sep 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 11 333 0 22 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 17 233 0 13 Sep 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction Jianguo Zhang Ji Wang Lifang He Zhao Li Philip S. Yu 26 31 0 11 Sep 2018
Certified Adversarial Robustness with Additive Noise Bai Li Changyou Chen Wenlin Wang Lawrence Carin AAML 28 341 0 10 Sep 2018
Adversarial Sampling for Active Learning Christoph Mayer Radu Timofte GAN 36 116 0 20 Aug 2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning Ting Yu Jingfeng Wu Jinwen Ma Zhanxing Zhu 21 35 0 18 Aug 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 17 22 0 18 Jul 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 19 466 0 16 Jul 2018
Manifold Adversarial Learning Shufei Zhang Kaizhu Huang Jianke Zhu Yang Liu OOD AAML 21 5 0 16 Jul 2018
Adversarially Learned Mixture Model Andrew Jesson Cécile Low-Kam Tanya Nair F. Soudan Florent Chandelier Nicolas Chapados 13 2 0 14 Jul 2018
Manifold regularization with GANs for semi-supervised learning Bruno Lecouat Chuan-Sheng Foo Houssam Zenati V. Chandrasekhar GAN 24 14 0 11 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 22 453 0 03 Jul 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 208 243 0 14 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma Alex Lamb Christopher Beckham Amir Najafi Ioannis Mitliagkas Aaron Courville David Lopez-Paz Yoshua Bengio AAML DRL 19 34 0 13 Jun 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 33 89 0 07 Jun 2018
Adversarial confidence and smoothness regularizations for scalable unsupervised discriminative learning Yi-Qing Wang 9 0 0 04 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 14 30 0 01 Jun 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner A. Madry AAML 18 1,757 0 30 May 2018
Adversarial Constraint Learning for Structured Prediction Hongyu Ren Russell Stewart Jiaming Song Volodymyr Kuleshov Stefano Ermon 11 16 0 27 May 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance Neal Jean Sang Michael Xie Stefano Ermon BDL SSL 20 75 0 26 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 63 1,758 0 24 May 2018
Input and Weight Space Smoothing for Semi-supervised Learning Safa Cicek Stefano Soatto 22 6 0 23 May 2018
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization Bruno Lecouat Chuan-Sheng Foo Houssam Zenati V. Chandrasekhar GAN 30 29 0 23 May 2018
Adversarial Label Learning Chidubem Arachie Bert Huang 19 22 0 22 May 2018
Adversarially Robust Training through Structured Gradient Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann 30 23 0 22 May 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 16 253 0 21 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi Sanghoon Hong Kyungjae Lee Sungbin Lim OOD 27 8 0 16 May 2018
SaaS: Speed as a Supervisor for Semi-supervised Learning Safa Cicek Alhussein Fawzi Stefano Soatto BDL 30 19 0 02 May 2018
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 33 50 0 10 Apr 2018
Adversarial Logit Pairing Harini Kannan Alexey Kurakin Ian Goodfellow AAML 36 625 0 16 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 10 444 0 15 Mar 2018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect Xiang Wei Boqing Gong Zixia Liu W. Lu Liqiang Wang GAN 16 261 0 05 Mar 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 41 606 0 24 Feb 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 33 610 0 23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 38 109 0 23 Feb 2018
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels Yifan Ding Liqiang Wang Deliang Fan Boqing Gong NoLa 34 103 0 08 Feb 2018
ShakeDrop Regularization for Deep Residual Learning Yoshihiro Yamada Masakazu Iwamura Takuya Akiba K. Kise 21 162 0 07 Feb 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 40 29 0 04 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 22 1,855 0 02 Jan 2018
Semi-Supervised Learning with IPM-based GANs: an Empirical Study Tom Sercu Youssef Mroueh GAN 30 1 0 07 Dec 2017
Improving Network Robustness against Adversarial Attacks with Compact Convolution Rajeev Ranjan S. Sankaranarayanan Carlos D. Castillo Rama Chellappa AAML 24 14 0 03 Dec 2017
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Mathias Niepert 46 446 0 29 Nov 2017
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training Xi Wu Uyeong Jang Jiefeng Chen Lingjiao Chen S. Jha AAML 35 21 0 21 Nov 2017
Virtual Adversarial Ladder Networks For Semi-supervised Learning Saki Shinoda Daniel E. Worrall Gabriel J. Brostow 24 4 0 20 Nov 2017
Global versus Localized Generative Adversarial Nets Guo-Jun Qi Liheng Zhang Hao Hu Marzieh Edraki Jingdong Wang Xian-Sheng Hua GAN 32 81 0 16 Nov 2017
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 16 117 0 14 Nov 2017
Intriguing Properties of Adversarial Examples E. D. Cubuk Barret Zoph S. Schoenholz Quoc V. Le AAML 31 84 0 08 Nov 2017