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
SESS: Self-Ensembling Semi-Supervised 3D Object Detection Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 21 125 0 26 Dec 2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks Alex Lamb Sherjil Ozair Vikas Verma David R Ha AAML 23 4 0 25 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 27 12 0 22 Dec 2019
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 24 9 0 22 Dec 2019
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition Ulysse Côté-Allard Gabriel Gagnon-Turcotte A. Phinyomark K. Glette Erik J. Scheme François Laviolette Benoit Gosselin 29 49 0 21 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 36 41 0 20 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning Zhongjie Yu Lin Chen Zhongwei Cheng Jiebo Luo 25 107 0 19 Dec 2019
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms Varun Nair Javier Fuentes Alonso Tony Beltramelli 33 26 0 18 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 27 59 0 11 Dec 2019
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments Mert Kayhan Okan Kopuklu Mhd Hasan Sarhan Mehmet Yigitsoy Abouzar Eslami Gerhard Rigoll 11 4 0 10 Dec 2019
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training H. Nguyen Simon Luo Fabio Ramos GAN MedIm 22 4 0 09 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 39 1,447 0 04 Dec 2019
Learning with Multiplicative Perturbations Xiulong Yang Shihao Ji AAML 30 4 0 04 Dec 2019
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels Shuang Song David Berthelot Afshin Rostamizadeh 33 33 0 02 Dec 2019
Flow Contrastive Estimation of Energy-Based Models Ruiqi Gao Erik Nijkamp Diederik P. Kingma Zhen Xu Andrew M. Dai Ying Nian Wu GAN 19 112 0 02 Dec 2019
Semi-Supervised Learning for Text Classification by Layer Partitioning Alexander Hanbo Li A. Sethy 36 12 0 26 Nov 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring David Berthelot Nicholas Carlini E. D. Cubuk Alexey Kurakin Kihyuk Sohn Han Zhang Colin Raffel 34 674 0 21 Nov 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 42 564 0 21 Nov 2019
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy Ke Sun Bin-Xia Yu Zhouchen Lin Zhanxing Zhu 17 5 0 21 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations Tianlin Li Daisuke Kihara Jiebo Luo Guo-Jun Qi OOD 19 34 0 21 Nov 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 16 1,200 0 20 Nov 2019
Deep Minimax Probability Machine Lirong He Ziyi Guo Kaizhu Huang Zenglin Xu AAML 17 2 0 20 Nov 2019
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? Jingfeng Zhang Bo Han Gang Niu Tongliang Liu Masashi Sugiyama 30 6 0 20 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Bo-wen Li D. Song AAML 27 107 0 17 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 28 7 0 16 Nov 2019
On Model Robustness Against Adversarial Examples Shufei Zhang Kaizhu Huang Zenglin Xu AAML 28 0 0 15 Nov 2019
Adversarial Margin Maximization Networks Ziang Yan Yiwen Guo Changshui Zhang AAML 11 12 0 14 Nov 2019
Asynchronous Distributed Learning from Constraints Francesco Farina S. Melacci A. Garulli Antonio Giannitrapani 20 6 0 13 Nov 2019
Adversarial Transformations for Semi-Supervised Learning Teppei Suzuki Ikuro Sato 14 13 0 13 Nov 2019
Negative sampling in semi-supervised learning John Chen Vatsal Shah Anastasios Kyrillidis 28 21 0 12 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 88 2,365 0 11 Nov 2019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao T. Zhao 40 559 0 08 Nov 2019
Searching to Exploit Memorization Effect in Learning from Corrupted Labels Quanming Yao Hansi Yang Bo Han Gang Niu James T. Kwok NoLa 19 16 0 06 Nov 2019
Learning from Label Proportions with Consistency Regularization Kuen-Han Tsai Hsuan-Tien Lin 27 44 0 29 Oct 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 33 22 0 28 Oct 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 36 284 0 26 Oct 2019
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 28 61 0 25 Oct 2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples Wenyuan Li Zichen Wang Yuguang Yue Jiayun Li W. Speier Mingyuan Zhou C. Arnold GAN 21 22 0 18 Oct 2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation Seung-Min Lee Dongwan Kim Namil Kim Seong-Gyun Jeong TTA OOD 9 181 0 12 Oct 2019
Information based Deep Clustering: An experimental study Jizong Peng Christian Desrosiers M. Pedersoli 27 1 0 03 Oct 2019
Learning Temporal Action Proposals With Fewer Labels Jingwei Ji Kaidi Cao Juan Carlos Niebles 6 36 0 03 Oct 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 270 0 30 Sep 2019
Machine Truth Serum Tianyi Luo Yang Liu FedML FaML 9 8 0 28 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Adversarial Learning of General Transformations for Data Augmentation Saypraseuth Mounsaveng David Vazquez Ismail Ben Ayed M. Pedersoli 14 10 0 21 Sep 2019
Training Robust Deep Neural Networks via Adversarial Noise Propagation Aishan Liu Xianglong Liu Chongzhi Zhang Hang Yu Qiang Liu Dacheng Tao AAML 27 110 0 19 Sep 2019
Understanding and Improving Virtual Adversarial Training Dongha Kim Yongchan Choi Yongdai Kim GAN AAML 12 2 0 15 Sep 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations Vishnu Suresh Lokhande Songwong Tasneeyapant Abhay Venkatesh Sathya Ravi Vikas Singh 27 29 0 12 Sep 2019
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 24 29 0 09 Sep 2019