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
Consistency Regularization for Cross-Lingual Fine-Tuning Bo Zheng Li Dong Shaohan Huang Wenhui Wang Zewen Chi Saksham Singhal Wanxiang Che Ting Liu Xia Song Furu Wei 19 58 0 15 Jun 2021
Graph-based Label Propagation for Semi-Supervised Speaker Identification Long Chen Venkatesh Ravichandran A. Stolcke SSL 27 16 0 15 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 30 84 0 14 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 26 78 0 14 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 35 172 0 14 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 43 11 0 14 Jun 2021
Revisiting consistency for semi-supervised semantic segmentation Ivan Grubišić Marin Orsic Sinisa Segvic 19 4 0 13 Jun 2021
On the Robustness of Average Losses for Partial-Label Learning Jiaqi Lv Biao Liu Lei Feng Ning Xu Miao Xu Bo An Gang Niu Xin Geng Masashi Sugiyama 34 31 0 11 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 46 64 0 10 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 23 301 0 09 Jun 2021
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization Léo Andéol Yusei Kawakami Yuichiro Wada Takafumi Kanamori K. Müller G. Montavon OOD 37 7 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 31 31 0 09 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 36 8 0 08 Jun 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu AAML 43 76 0 05 Jun 2021
ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression Weiyue Su Xuyi Chen Shi Feng Jiaxiang Liu Weixin Liu Yu Sun Hao Tian Hua Wu Haifeng Wang 34 13 0 04 Jun 2021
Self-Guided Contrastive Learning for BERT Sentence Representations Taeuk Kim Kang Min Yoo Sang-goo Lee SSL 39 202 0 03 Jun 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhen Zhang Wei-min Li Yizhou Yu 26 48 0 03 Jun 2021
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training Enmao Diao Jie Ding Vahid Tarokh FedML 30 73 0 02 Jun 2021
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision Xiaokang Chen Yuhui Yuan Gang Zeng Jingdong Wang 6 758 0 02 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 34 91 0 01 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 36 17 0 01 Jun 2021
Semi-Supervised Domain Generalization with Stochastic StyleMatch Kaiyang Zhou Chen Change Loy Ziwei Liu OOD 38 56 0 01 Jun 2021
Omnizart: A General Toolbox for Automatic Music Transcription Yu-Te Wu Yin-Jyun Luo Tsung-Ping Chen I-Chieh Wei Jui-Yang Hsu Yi-Chin Chuang Li Su SyDa 22 30 0 01 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners Yabin Zhang Haojian Zhang Bin Deng Shuai Li Kui Jia Lei Zhang 26 25 0 01 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 16 78 0 01 Jun 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization Jiaao Chen Dinghan Shen Weizhu Chen Diyi Yang BDL 27 47 0 31 May 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 27 68 0 31 May 2021
Deep Fair Discriminative Clustering Hongjing Zhang Ian Davidson FaML 11 11 0 28 May 2021
Robust Regularization with Adversarial Labelling of Perturbed Samples Xiaohui Guo Richong Zhang Yaowei Zheng Yongyi Mao AAML 11 0 0 28 May 2021
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint Guanyu Cai Lianghua He 26 0 0 27 May 2021
A Fourier-based Framework for Domain Generalization Qinwei Xu Ruipeng Zhang Ya Zhang Yanfeng Wang Qi Tian OOD 26 424 0 24 May 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 34 5 0 23 May 2021
Two-stage Training for Learning from Label Proportions Jiabin Liu Bo Wang Xin Shen Zhiquan Qi Ying-jie Tian 52 25 0 22 May 2021
Correlated Adversarial Joint Discrepancy Adaptation Network Youshan Zhang Brian D. Davison TTA OOD 20 2 0 18 May 2021
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training Luke Melas-Kyriazi Arjun K. Manrai 22 117 0 17 May 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective Lun Du Xu Chen Fei Gao Qiang Fu Kunqing Xie Shi Han Dongmei Zhang 20 12 0 17 May 2021
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity Lakshman Balasubramanian Jonas Wurst M. Botsch Ke Deng 14 9 0 17 May 2021
Semi-supervised Contrastive Learning with Similarity Co-calibration Yuhang Zhang Xiaopeng Zhang Robert C. Qiu Jie Li Haohang Xu Qi Tian SSL 18 60 0 16 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang FedML 27 7 0 13 May 2021
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction Y. Taya L. Pereira Fei Cheng Ichiro Kobayashi 36 0 0 12 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 104 0 10 May 2021
Boosting Semi-Supervised Face Recognition with Noise Robustness Yuchi Liu Hailin Shi Hang Du Rui Zhu Jun Wang Liang Zheng Tao Mei NoLa 25 18 0 10 May 2021
Semi-Supervised Metric Learning: A Deep Resurrection U. Dutta Mehrtash Harandi C. Sekhar 25 7 0 10 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 24 7 0 07 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 166 68 0 04 May 2021
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning Tsung-Wei Ke Jyh-Jing Hwang Stella X. Yu SSL 38 75 0 03 May 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets Yuan-Hong Liao Amlan Kar Sanja Fidler VLM 35 29 0 26 Apr 2021
A Closer Look at Self-training for Zero-Label Semantic Segmentation Giuseppe Pastore Fabio Cermelli Yongqin Xian Massimiliano Mancini Zeynep Akata Barbara Caputo VLM 31 68 0 21 Apr 2021
Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency-Interpolation Tradeoff Vincent Pisztora Yanglan Ou Xiaolei Huang Francesca Chiaromonte Jia Li 40 1 0 19 Apr 2021