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
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations Mahmoud Assran Nicolas Ballas Lluis Castrejon Michael G. Rabbat SSL 8 3 0 18 Jun 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 30 550 0 18 Jun 2020
LSD-C: Linearly Separable Deep Clusters Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman 19 24 0 17 Jun 2020
Self-training Avoids Using Spurious Features Under Domain Shift Yining Chen Colin Wei Ananya Kumar Tengyu Ma OOD 29 85 0 17 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 34 32 0 15 Jun 2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data Bin-Xia Yu Ke Sun He Wang Zhouchen Lin Zhanxing Zhu 18 0 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 149 6,671 0 13 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 20 402 0 13 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 646 0 11 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 35 489 0 11 Jun 2020
A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning Carl Allen Ivana Balavzević Timothy M. Hospedales BDL 26 1 0 10 Jun 2020
Syn2Real Transfer Learning for Image Deraining using Gaussian Processes R. Yasarla Vishwanath A. Sindagi Vishal M. Patel 34 173 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
Adversarial Feature Desensitization P. Bashivan Reza Bayat Adam Ibrahim Kartik Ahuja Mojtaba Faramarzi Touraj Laleh Blake A. Richards Irina Rish AAML 19 21 0 08 Jun 2020
Optimally Combining Classifiers for Semi-Supervised Learning Zhiguo Wang Liusha Yang Feng Yin Ke Lin Qingjiang Shi Zhi-Quan Luo 18 1 0 07 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers Jongheon Jeong Jinwoo Shin AAML 28 88 0 07 Jun 2020
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers S. Melacci Gabriele Ciravegna Angelo Sotgiu Ambra Demontis Battista Biggio Marco Gori Fabio Roli 22 14 0 06 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 64 2,631 0 05 Jun 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon Wonyoung Hedge Kim Joong-Ho Won M. Paik 30 12 0 05 Jun 2020
Interpolation-based semi-supervised learning for object detection Jisoo Jeong Vikas Verma Minsung Hyun Arno Solin Nojun Kwak 44 73 0 03 Jun 2020
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee A. Chandrakasan ELM AAML 19 3 0 01 Jun 2020
Multi-Stage Transfer Learning with an Application to Selection Process André Mendes Julian Togelius L. Coelho 14 10 0 01 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla S. Feizi AAML 16 60 0 01 Jun 2020
Pseudo-Representation Labeling Semi-Supervised Learning Song-Bo Yang Tian-li Yu 27 3 0 31 May 2020
A Protection against the Extraction of Neural Network Models H. Chabanne Vincent Despiegel Linda Guiga FedML 27 5 0 26 May 2020
Semi-supervised Medical Image Classification with Global Latent Mixing P. Gyawali S. Ghimire Pradeep Bajracharya Zhiyuan Li Linwei Wang 23 36 0 22 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition Qing Wang Pengcheng Guo Lei Xie AAML 24 57 0 21 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 28 18 0 19 May 2020
Adversarial Training for Commonsense Inference L. Pereira Xiaodong Liu Fei Cheng Masayuki Asahara Ichiro Kobayashi AAML 14 31 0 17 May 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 30 221 0 15 May 2020
VirAAL: Virtual Adversarial Active Learning For NLU Grégory Senay Badr Youbi Idrissi Marine Haziza AAML 14 1 0 14 May 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong Guosheng Lin SSL DRL 87 956 0 11 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 40 493 0 10 May 2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification Mateusz Ochal Jose Vazquez Y. Pétillot Sen Wang 54 24 0 10 May 2020
Defending Model Inversion and Membership Inference Attacks via Prediction Purification Ziqi Yang Bin Shao Bohan Xuan E. Chang Fan Zhang AAML 25 71 0 08 May 2020
TAVAT: Token-Aware Virtual Adversarial Training for Language Understanding Linyang Li Xipeng Qiu 11 17 0 30 Apr 2020
Metric learning by Similarity Network for Deep Semi-Supervised Learning Sanyou Wu Xingdong Feng Fan Zhou 24 4 0 29 Apr 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification Jiaao Chen Zichao Yang Diyi Yang VLM 41 356 0 25 Apr 2020
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses Jiaao Chen Yuwei Wu Diyi Yang 11 18 0 23 Apr 2020
Metric-Learning-Assisted Domain Adaptation Yueming Yin Zhen Yang Haifeng Hu Xiaofu Wu OOD 19 11 0 23 Apr 2020
Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets Liwei Jiang Dan Li Qisheng Wang Shuai Wang Songtao Wang 17 5 0 21 Apr 2020
Local Clustering with Mean Teacher for Semi-supervised Learning Zexi Chen B. Dutton B. Ramachandra Tianfu Wu Ranga Raju Vatsavai 33 7 0 20 Apr 2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning Tong Wei Feng Shi Hai Wang Wei-Wei Tu. Yu-Feng Li 14 11 0 20 Apr 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu-Chiang Frank Wang Hoifung Poon Jianfeng Gao AAML 36 183 0 20 Apr 2020
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection Fa-Ting Hong Wei-Hong Li Weishi Zheng 48 14 0 16 Apr 2020
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension A. Maharana Joey Tianyi Zhou AAML 20 13 0 13 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 16 3 0 09 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels Xun Xu Gim Hee Lee 3DPC 27 93 0 08 Apr 2020