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
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 205 176 0 05 Feb 2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning Ankit Singh Omprakash Chakraborty Ashutosh Varshney Yikang Shen Rogerio Feris Kate Saenko Abir Das 33 96 0 04 Feb 2021
Semi-supervised Sound Event Detection using Random Augmentation and Consistency Regularization Xiaofei Li 14 1 0 30 Jan 2021
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency Samarth Mishra Kate Saenko Venkatesh Saligrama 32 28 0 29 Jan 2021
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation Ying-Cong Chen Xu Ouyang Kaiyue Zhu G. Agam 34 8 0 25 Jan 2021
Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning Anh-Vu Bui Trung Le He Zhao Paul Montague S. Çamtepe Dinh Q. Phung AAML 21 14 0 25 Jan 2021
Weakly Supervised Learning for Facial Behavior Analysis : A Review G. Praveen Member Ieee Eric Granger Member Ieee Patrick Cardinal CVBM 37 6 0 25 Jan 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer James Smith Jonathan C. Balloch Yen-Chang Hsu Z. Kira CLL 131 36 0 23 Jan 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Zhuowen Tu Stefano Soatto 41 119 0 21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning Zeming Li Songtao Liu Jian Sun 51 16 0 19 Jan 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 73 20 0 18 Jan 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning Byoungjip Kim Jinho Choo Yeong-Dae Kwon Seongho Joe Seungjai Min Youngjune Gwon SSL 38 52 0 16 Jan 2021
Robustness to Augmentations as a Generalization metric Sumukh K Aithal D. Kashyap Natarajan Subramanyam OOD 19 18 0 16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 247 510 0 15 Jan 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 47 15 0 08 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 30 36 0 07 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning Liyuan Wang Kuo Yang Chongxuan Li Lanqing Hong Zhenguo Li Jun Zhu CLL BDL 36 79 0 02 Jan 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering Hao Cheng Yelong Shen Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao 29 55 0 01 Jan 2021
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems Baolin Peng Chunyuan Li Zhu Zhang Chenguang Zhu Jinchao Li Jianfeng Gao 21 49 0 29 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual Representations Chunyuan Li Xiujun Li Lei Zhang Baolin Peng Mingyuan Zhou Jianfeng Gao SSL 25 24 0 25 Dec 2020
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 30 19 0 23 Dec 2020
Out-distribution aware Self-training in an Open World Setting Maximilian Augustin Matthias Hein 27 7 0 21 Dec 2020
On the human-recognizability phenomenon of adversarially trained deep image classifiers Jonathan W. Helland Nathan M. VanHoudnos AAML 27 4 0 18 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation Ajinkya Tejankar Soroush Abbasi Koohpayegani Vipin Pillai Paolo Favaro Hamed Pirsiavash SSL 27 44 0 16 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 22 1 0 13 Dec 2020
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints Gabriel Hope Madina Abdrakhmanova Xiaoyin Chen Michael C. Hughes M. C. Hughes Erik B. Sudderth DRL 27 0 0 12 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 177 188 0 11 Dec 2020
Uncertainty-Aware Deep Calibrated Salient Object Detection Jing Zhang Yuchao Dai Xin Yu Mehrtash Harandi Nick Barnes Richard I. Hartley UQCV EDL 28 6 0 10 Dec 2020
FedSiam: Towards Adaptive Federated Semi-Supervised Learning Zewei Long Liwei Che Yaqing Wang Muchao Ye Junyu Luo Jinze Wu Houping Xiao Fenglong Ma FedML 36 16 0 06 Dec 2020
Matching Distributions via Optimal Transport for Semi-Supervised Learning Fariborz Taherkhani Hadi Kazemi Ali Dabouei J. Dawson Nasser M. Nasrabadi OT 42 1 0 04 Dec 2020
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization Kien Do T. Tran Svetha Venkatesh BDL 22 3 0 03 Dec 2020
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation Rihuan Ke Angelica Aviles-Rivero Saurabh Pandey Saikumar Reddy Carola-Bibiane Schönlieb 31 52 0 01 Dec 2020
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization Hanchen Xie Mohamed E. Hussein Aram Galstyan Wael Abd-Almageed SSL 31 8 0 30 Nov 2020
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling Lie Ju Xin Wang Xin Zhao Paul Bonnington Tom Drummond Zongyuan Ge GAN MedIm 27 40 0 27 Nov 2020
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning Zhuo Huang Ying Tai Chengjie Wang Jian Yang Chen Gong 36 23 0 27 Nov 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 30 14 0 26 Nov 2020
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization T. Han S. Nebelung F. Pedersoli Markus Zimmermann M. Schulze-Hagen ... Christoph Haarburger Fabian Kiessling Christiane Kuhl Volkmar Schulz Daniel Truhn MedIm 14 33 0 25 Nov 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer Zidi Xiu Junya Chen Ricardo Henao B. Goldstein Lawrence Carin Chenyang Tao 18 10 0 25 Nov 2020
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 35 47 0 23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong Guosheng Lin SSL 21 254 0 23 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 42 24 0 21 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
FROST: Faster and more Robust One-shot Semi-supervised Training Helena E. Liu L. Smith BDL OffRL 36 1 0 18 Nov 2020
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining Zijun Sun Chun Fan Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li 32 9 0 17 Nov 2020
Digging Deeper into CRNN Model in Chinese Text Images Recognition Kunhong Yu Yuze Zhang 14 1 0 17 Nov 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen Shuai Li Kui Jia AAML 18 24 0 15 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 24 52 0 14 Nov 2020
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss Hyojin Park Ganesh Venkatesh Nojun Kwak VOS 25 5 0 09 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 159 0 09 Nov 2020