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"

48 / 48 papers shown

Title
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning Yaxin Hou Yuheng Jia 47 0 0 22 May 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 126 7 0 31 Mar 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 183 482 0 26 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 211 5 0 21 Feb 2025
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery Xinzi Cao Xiawu Zheng G. Wang Weijiang Yu Yunhang Shen Ke Li Yutong Lu Yonghong Tian CLL 119 5 0 09 Jan 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 394 1 0 14 Dec 2024
GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection Yan Xing Qiáo Xu Zongyu Guo Rui Huang Yuxiang Zhang 105 0 0 28 Nov 2024
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Löwe Andreas Geiger Max Welling AI4CE 138 7 0 17 Oct 2024
Browsing without Third-Party Cookies: What Do You See? Maxwell Lin Shihan Lin Helen Wu Karen Wang Xiaowei Yang BDL 138 10 0 14 Oct 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training Kun Song Zhiquan Tan Bochao Zou Jiansheng Chen Huimin Ma Weiran Huang 79 1 0 25 Sep 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning Eric Li Yifan Zhang Yu Huang Kevin Leach 65 0 0 20 Sep 2024
A Review of Pseudo-Labeling for Computer Vision Patrick Kage Jay C. Rothenberger Pavlos Andreadis Dimitrios I. Diochnos VLM 74 5 0 13 Aug 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation Zhiqiang Shen Peng Cao Junming Su Jinzhu Yang Osmar R. Zaiane 68 0 0 31 Jul 2024
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment Wu Yun Mengshi Qi Fei Peng Huadong Ma 65 1 0 29 Jul 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 72 0 0 13 Jun 2024
FaceXFormer: A Unified Transformer for Facial Analysis Kartik Narayan VS Vibashan Rama Chellappa Vishal M. Patel ViT 72 13 0 19 Mar 2024
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning Yan Fan Yu Wang Pengfei Zhu Qinghua Hu CLL 152 4 0 27 Dec 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification Hui Cai Xiang Zhang Xiaofeng Liu AI4TS 53 0 0 13 Oct 2023
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 60 3 0 14 Jul 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 72 27 0 10 Jun 2022
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 105 405 0 13 Jun 2020
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 56 22 0 28 Oct 2019
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 162 2,543 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 626 36,599 0 25 Aug 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 57 1,110 0 14 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 368 8,999 0 10 Jun 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 128 2,338 0 09 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 283 10,149 0 16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 176 11,135 0 14 Mar 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 63 450 0 17 Feb 2016
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 60 745 0 19 Nov 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 67 1,369 0 09 Jul 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 79 458 0 02 Jul 2015
Stacked What-Where Auto-encoders Jiaqi Zhao Michaël Mathieu Ross Goroshin Yann LeCun DiffM BDL 43 258 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 470 9,233 0 06 Jun 2015
Highway Networks R. Srivastava Klaus Greff Jürgen Schmidhuber 115 1,765 0 03 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 300 43,154 0 11 Feb 2015
A Bayesian encourages dropout S. Maeda BDL 52 45 0 22 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 813 149,474 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 174 4,653 0 21 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 163 18,922 0 20 Dec 2014
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 64 596 0 16 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples S. Gu Luca Rigazio AAML 68 839 0 11 Dec 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 261 2,229 0 18 Sep 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 63 2,731 0 20 Jun 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 166 14,831 1 21 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 225 6,267 0 16 Dec 2013
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 104 597 0 04 Jul 2013