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
SimMatchV2: Semi-Supervised Learning with Graph Consistency Mingkai Zheng Shan You Lang Huang Chen Luo Fei Wang Chao Qian Chang Xu SSL 31 7 0 13 Aug 2023
Pseudo-label Alignment for Semi-supervised Instance Segmentation Jie Hu Cheng Chen Liujuan Cao Shengchuan Zhang Annan Shu Guannan Jiang Rongrong Ji ISeg 47 13 0 10 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation Dongyoon Yang Insung Kong Yongdai Kim 44 4 0 08 Aug 2023
Improving Performance of Semi-Supervised Learning by Adversarial Attacks Dongyoon Yang Kunwoong Kim Yongdai Kim AAML 18 0 0 08 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 30 3 0 05 Aug 2023
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation Menglong Lu Zhen Huang Yunxiang Zhao Zhiliang Tian Yang Liu Dongsheng Li 39 6 0 05 Aug 2023
Consistency Regularization for Generalizable Source-free Domain Adaptation Longxiang Tang Kai Li Chunming He Yulun Zhang Xiu Li TTA 38 15 0 03 Aug 2023
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles Andrei Preda Dumitru-Clementin Cercel Traian Rebedea Costin-Gabriel Chiru 24 1 0 02 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 21 1 0 31 Jul 2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging Hussain Ahmad Madni Rao Muhammad Umer G. Foresti FedML 25 4 0 31 Jul 2023
Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks João A. Leite Carolina Scarton D. F. Silva 45 1 0 31 Jul 2023
Multi-Method Self-Training: Improving Code Generation With Text, And Vice Versa Shriyash Upadhyay Etan Ginsberg SyDa LRM 29 0 0 20 Jul 2023
Confidence Estimation Using Unlabeled Data Chen Li Xiaoling Hu Chao Chen UQCV 28 9 0 19 Jul 2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples JoonHo Lee J. Woo H. Moon Kwonho Lee 37 2 0 19 Jul 2023
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation Changqi Wang Haoyu Xie Yuhui Yuan Chong Fu Xiangyu Yue VLM 32 9 0 19 Jul 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho Gauri Joshi Dimitrios Dimitriadis FedML 28 4 0 17 Jul 2023
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning Prathyusha Devabhakthini S. Parida R. Shukla S. Nayak AAML SILM 9 4 0 17 Jul 2023
Random Boxes Are Open-world Object Detectors Yanghao Wang Zhongqi Yue Xiansheng Hua Hanwang Zhang ObjD 34 17 0 17 Jul 2023
Semi-DETR: Semi-Supervised Object Detection with Detection Transformers Jiacheng Zhang Xiangru Lin Wei Emma Zhang Kuo Wang Xiao Tan Junyu Han Errui Ding Jingdong Wang Guanbin Li ViT 30 37 0 16 Jul 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation Dapeng Hu Jian Liang Xinchao Wang Chuan-Sheng Foo 23 0 0 14 Jul 2023
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant Yann Hicke Tonghua Tian Karan Jha Choong Hee Kim 29 2 0 09 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar Zehao Xiao Jiayi Shen Xiantong Zhen Cees G. M. Snoek BDL OOD 30 1 0 08 Jul 2023
Semi-supervised Object Detection: A Survey on Recent Research and Progress Yanyang Wang Zhaoxiang Liu Kai Wang 24 9 0 25 Jun 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training Komal K. Teru 48 5 0 16 Jun 2023
Evaluating Superhuman Models with Consistency Checks Lukas Fluri Daniel Paleka Florian Tramèr ELM 55 42 0 16 Jun 2023
Compositionally Equivariant Representation Learning Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris CoGe OOD 32 2 0 13 Jun 2023
Rank-Aware Negative Training for Semi-Supervised Text Classification Ahmed Murtadha Shengfeng Pan Wen Bo Jianlin Su Xinxin Cao Wenze Zhang Yunfeng Liu 8 8 0 13 Jun 2023
On Achieving Optimal Adversarial Test Error Justin D. Li Matus Telgarsky AAML 33 1 0 13 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 42 115 0 09 Jun 2023
Two Independent Teachers are Better Role Model A. Khaled A. A. Mubarak Kun He 69 1 0 09 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration Emanuel Sanchez Aimar Hannah Helgesen Yonghao Xu Marco Kuhlmann M. Felsberg 33 0 0 07 Jun 2023
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation Bo Sun Yuqi Yang Le Zhang Ming-Ming Cheng Qibin Hou 42 25 0 07 Jun 2023
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data Shuvendu Roy Ali Etemad 40 0 0 02 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data Shuvendu Roy Ali Etemad SSL 34 4 0 02 Jun 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning Yu Wang Pengchong Qiao Chang-rui Liu Guoli Song Xiawu Zheng Jie Chen OODD 34 10 0 29 May 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning D. Zhu Xiaoyu Shen Marius Mosbach Andreas Stephan Dietrich Klakow NoLa 39 9 0 27 May 2023
Universal Self-Adaptive Prompting Xingchen Wan Ruoxi Sun Hootan Nakhost H. Dai Julian Martin Eisenschlos Sercan Ö. Arik Tomas Pfister LRM 38 9 0 24 May 2023
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach Zheng Xie Yu Liu Hao He Ming Li Zhi-Hua Zhou NoLa 32 5 0 23 May 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 37 18 0 22 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning Wujian Peng Zejia Weng Hengduo Li Zuxuan Wu 30 0 0 22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 45 12 0 22 May 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining Weifeng Jiang Qianren Mao Chenghua Lin Jianxin Li Ting Deng Weiyi Yang Zhilin Wang 18 2 0 20 May 2023
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers Manuel Lagunas Brayan Impata Victor Martinez Virginia Fernandez Christos Georgakis Sofia Braun Felipe Bertrand ViT 38 8 0 17 May 2023
Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering Bing Wang Ximing Li Zhiyao Yang Yuanyuan Guan Jiayin Li Sheng-sheng Wang 35 6 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 35 4 0 13 May 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models Wei-Lin Chen An-Zi Yen Cheng-Kuang Wu Hen-Hsen Huang Hsin-Hsi Chen ReLM LRM 24 11 0 12 May 2023
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues Chengwei Peng Xianzhong Long Yun Li SSL 46 1 0 09 May 2023
Toward Adversarial Training on Contextualized Language Representation Hongqiu Wu Yong-Jin Liu Han Shi Haizhen Zhao Hao Fei AAML 28 13 0 08 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 39 4 0 04 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner Zhengxiang Shi Aldo Lipani VLM CLL 42 21 0 02 May 2023