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
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training Shunsuke Kitada Hitoshi Iyatomi AAML 33 8 0 18 Apr 2021
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks Kai Li Curtis Wigington Chris Tensmeyer Vlad I. Morariu Handong Zhao Varun Manjunatha Nikolaos Barmpalios Y. Fu 22 0 0 18 Apr 2021
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection Andrei Paraschiv Dumitru-Clementin Cercel M. Dascalu 32 1 0 17 Apr 2021
Consistency Training with Virtual Adversarial Discrete Perturbation Jungsoo Park Gyuwan Kim Jaewoo Kang 30 15 0 15 Apr 2021
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy Yanni Ren Hangyu Deng Hao Jiang Jinglu Hu 21 2 0 14 Apr 2021
Targeted Adversarial Training for Natural Language Understanding L. Pereira Xiaodong Liu Hao Cheng Hoifung Poon Jianfeng Gao Ichiro Kobayashi 25 12 0 12 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization Daiqing Li Junlin Yang Karsten Kreis Antonio Torralba Sanja Fidler GAN MedIm 45 181 0 12 Apr 2021
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training Islam Nassar Samitha Herath Ehsan Abbasnejad Wray Buntine Gholamreza Haffari VLM 27 55 0 12 Apr 2021
Bootstrapping Semantic Segmentation with Regional Contrast Shikun Liu Shuaifeng Zhi Edward Johns Andrew J. Davison ISeg 20 122 0 09 Apr 2021
Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review Daniel Ahfock Geoffrey J. McLachlan 12 12 0 08 Apr 2021
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images Yanwen Li Luyang Luo Huangjing Lin Hao Chen Pheng-Ann Heng 22 52 0 07 Apr 2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal Xiang Wang Shiwei Zhang Zhiwu Qing Yuanjie Shao Changxin Gao Nong Sang 33 68 0 07 Apr 2021
Multiview Pseudo-Labeling for Semi-supervised Learning from Video Bo Xiong Haoqi Fan Kristen Grauman Christoph Feichtenhofer SSL 32 49 0 01 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification Zijian Hu Zhengyu Yang Xuefeng Hu Ram Nevatia 22 141 0 30 Mar 2021
Learning Representational Invariances for Data-Efficient Action Recognition Yuliang Zou Jinwoo Choi Qitong Wang Jia-Bin Huang 22 39 0 30 Mar 2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding Sheng Deng Xun Xu Chaozheng Wu Ke Chen Kui Jia 17 112 0 30 Mar 2021
Industry Scale Semi-Supervised Learning for Natural Language Understanding Luoxin Chen Francisco Garcia Varun Kumar He Xie Jianhua Lu 19 6 0 29 Mar 2021
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation Zhedong Zheng Yi Yang 25 29 0 29 Mar 2021
Multimodal Knowledge Expansion Zihui Xue Sucheng Ren Zhengqi Gao Hang Zhao 34 28 0 26 Mar 2021
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama Phi Vu Tran SSL 3DPC 3DV 30 12 0 25 Mar 2021
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels Evgenii Zheltonozhskii Chaim Baskin A. Mendelson A. Bronstein Or Litany SSL 33 92 0 25 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang-feng Zhou Chaohui Yu Zhibin Wang Qi Qian Hao Li ObjD 27 195 0 21 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 27 2 0 21 Mar 2021
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training Saurabh Sahu Palash Goyal ViT 37 2 0 18 Mar 2021
Multi-view Subword Regularization Xinyi Wang Sebastian Ruder Graham Neubig 27 45 0 15 Mar 2021
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation Mingi Ji Seungjae Shin Seunghyun Hwang Gibeom Park Il-Chul Moon 13 120 0 15 Mar 2021
Semi-supervised learning by selective training with pseudo labels via confidence estimation Masato Ishii 19 2 0 15 Mar 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 38 34 0 15 Mar 2021
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop Jong-Chyi Su Subhransu Maji 38 25 0 11 Mar 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization Jizong Peng M. Pedersoli Christian Desrosiers SSL 29 21 0 08 Mar 2021
What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels Jeonghun Baek Yusuke Matsui Kiyoharu Aizawa 41 89 0 07 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 43 174 0 05 Mar 2021
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis Kasumi Obi Q. H. Cap N. Umegaki-Arao Masaru Tanaka Hitoshi Iyatomi MedIm 16 0 0 03 Mar 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning Chia-Yi Hsu Pin-Yu Chen Songtao Lu Sijia Liu Chia-Mu Yu AAML 21 9 0 02 Mar 2021
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 29 9 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 29 569 0 28 Feb 2021
A Theory of Label Propagation for Subpopulation Shift Tianle Cai Ruiqi Gao Jason D. Lee Qi Lei 16 49 0 22 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 20 127 0 20 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 40 257 0 18 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 68 475 0 18 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 425 0 17 Feb 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung Xinrun Wang Runsheng Yu Bo An Senthilnath Jayavelu Xiaoli Li 29 8 0 17 Feb 2021
Comparison of semi-supervised deep learning algorithms for audio classification Léo Cances Etienne Labbé Thomas Pellegrini 16 17 0 16 Feb 2021
Enhancing Audio Augmentation Methods with Consistency Learning Turab Iqbal Karim Helwani A. Krishnaswamy Wenwu Wang 29 5 0 09 Feb 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning Yu Liu Lianghua Huang Pan Pan Bin Wang Yinghui Xu Rong Jin SSL 25 3 0 09 Feb 2021
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining Adrian Bulat Enrique Sánchez-Lozano Georgios Tzimiropoulos 31 5 0 08 Feb 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 21 109 0 07 Feb 2021
Deep Semi-Supervised Learning for Time Series Classification Jann Goschenhofer Rasmus Hvingelby David Rügamer Janek Thomas Moritz Wagner B. Bischl AI4TS 25 12 0 06 Feb 2021