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
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition Hao Li Xiaopeng Zhang H. Xiong Qi Tian 16 41 0 06 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 29 276 0 31 Mar 2020
Adversarial Attacks on Multivariate Time Series Samuel Harford Fazle Karim H. Darabi AI4TS AAML 6 21 0 31 Mar 2020
Gradient-based Data Augmentation for Semi-Supervised Learning H. Kaizuka 33 2 0 28 Mar 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations Shuhao Cui Shuhui Wang Junbao Zhuo Liang Li Qingming Huang Q. Tian 41 359 0 27 Mar 2020
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 27 51 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 47 120 0 26 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 659 0 23 Mar 2020
Deep Reinforcement Learning with Robust and Smooth Policy Qianli Shen Yuante Li Haoming Jiang Zhaoran Wang T. Zhao OOD 28 5 0 21 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 30 709 0 19 Mar 2020
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels Donghyun Kim Kuniaki Saito Tae-Hyun Oh Bryan A. Plummer Stan Sclaroff Kate Saenko SSL 14 43 0 18 Mar 2020
Semi-supervised Contrastive Learning Using Partial Label Information Colin B. Hansen V. Nath Diego A. Mesa Yuankai Huo Bennett A. Landman Thomas A. Lasko SSL 22 0 0 17 Mar 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 140 274 0 16 Mar 2020
Toward Adversarial Robustness via Semi-supervised Robust Training Yiming Li Baoyuan Wu Yan Feng Yanbo Fan Yong Jiang Zhifeng Li Shutao Xia AAML 87 13 0 16 Mar 2020
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes André Mendes Julian Togelius L. Coelho 27 0 0 15 Mar 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Jian Liang Yunbo Wang Dapeng Hu Ran He Jiashi Feng 171 105 0 05 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 163 113 0 05 Mar 2020
Learning Cross-domain Generalizable Features by Representation Disentanglement Qingjie Meng Daniel Rueckert Bernhard Kainz OOD DRL 19 12 0 29 Feb 2020
VideoSSL: Semi-Supervised Learning for Video Classification Longlong Jing T. Parag Zhe Wu Yingli Tian Hongcheng Wang 24 50 0 29 Feb 2020
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation Takehiko Ohkawa Naoto Inoue Hirokatsu Kataoka Nakamasa Inoue 27 6 0 29 Feb 2020
Affinity guided Geometric Semi-Supervised Metric Learning U. Dutta Mehrtash Harandi C. Sekhar 22 2 0 27 Feb 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 22 63 0 26 Feb 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 47 17 0 26 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 51 224 0 25 Feb 2020
End-To-End Graph-based Deep Semi-Supervised Learning Zihao Wang E. Tu Meng Zhou 23 0 0 23 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 15 73 0 20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 17 162 0 20 Feb 2020
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu Yu-Chiang Frank Wang Jianshu Ji Hao Cheng Xueyun Zhu ... Pengcheng He Weizhu Chen Hoifung Poon Guihong Cao Jianfeng Gao AI4CE 31 60 0 19 Feb 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 30 58 0 19 Feb 2020
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims Kevin Meng Damian Jimenez Fatma Arslan J. Devasier Daniel Obembe Chengkai Li 21 16 0 18 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 44 1,013 0 18 Feb 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 12 49 0 17 Feb 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 32 153 0 11 Feb 2020
GradMix: Multi-source Transfer across Domains and Tasks Junnan Li Ziwei Xu Yongkang Wong Qi Zhao Mohan Kankanhalli 24 7 0 09 Feb 2020
Subspace Capsule Network Marzieh Edraki Nazanin Rahnavard M. Shah 21 35 0 07 Feb 2020
On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond Zifeng Wang Xi Chen Rui Wen Shao-Lun Huang 14 1 0 25 Jan 2020
Continual Local Replacement for Few-shot Learning Canyu Le Zhonggui Chen Xihan Wei Biao Wang Lei Zhang BDL CLL 14 2 0 23 Jan 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 104 3,479 0 21 Jan 2020
batchboost: regularization for stabilizing training with resistance to underfitting & overfitting Maciej A. Czyzewski 9 1 0 21 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 50 23 0 16 Jan 2020
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification P. Sellars Angelica Aviles-Rivero Carola Bibiane Schönlieb 14 0 0 15 Jan 2020
Proposal Learning for Semi-Supervised Object Detection Peng Tang Chetan Ramaiah Yan Wang Ran Xu Caiming Xiong 28 100 0 15 Jan 2020
Semi-supervised learning method based on predefined evenly-distributed class centroids Qiuyu Zhu Tiantian Li SSL 4 6 0 13 Jan 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 40 104 0 11 Jan 2020
Pruning Convolutional Neural Networks with Self-Supervision Mathilde Caron Ari S. Morcos Piotr Bojanowski Julien Mairal Armand Joulin SSL 3DPC 17 12 0 10 Jan 2020
Improve Unsupervised Domain Adaptation with Mixup Training Shen Yan Huan Song Nanxiang Li Lincan Zou Liu Ren 18 228 0 03 Jan 2020
Dual Adversarial Domain Adaptation Yuntao Du Z. Tan Qian Chen Xiaowen Zhang Yirong Yao Chong-Jun Wang 19 10 0 01 Jan 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 40 111 0 30 Dec 2019
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 20 92 0 30 Dec 2019