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
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions Alexandros Papadopoulos A. Delopoulos 32 2 0 29 Apr 2023
Semi-Supervised RF Fingerprinting with Consistency-Based Regularization Weidong Wang Cheng Luo Jiancheng An Lu Gan H. Liao Chau Yuen 32 13 0 28 Apr 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Harsh Rangwani Shrinivas Ramasubramanian S. Takemori Kato Takashi Yuhei Umeda Venkatesh Babu Radhakrishnan 37 4 0 28 Apr 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao Wang Yifan Zhang 56 6 0 26 Apr 2023
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki GNN SSL 25 10 0 24 Apr 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 50 275 0 24 Apr 2023
Deep Audio-Visual Singing Voice Transcription based on Self-Supervised Learning Models Xiangming Gu Weizhen Zeng Jianan Zhang Longshen Ou Ye Wang 37 6 0 24 Apr 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification Wei Ju Xiao Luo Meng Qu Yifan Wang C. L. Philip Chen Minghua Deng Xiansheng Hua Ming Zhang 21 34 0 23 Apr 2023
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode Ruan Lu Zhou Hangcheng Ran Meng Zhao Jin Qin JiaoYu Wei Feng Wang ChenZi 40 0 0 19 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 40 72 0 19 Apr 2023
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization Siyuan Yang Jun Liu Shijian Lu Er Meng Hwa Yongjian Hu Alex C. Kot 3DPC 3DH 38 16 0 18 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi-Mou Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 33 51 0 13 Apr 2023
Semantic-Aware Mixup for Domain Generalization C. Xu Xinmei Tian AAML 23 2 0 12 Apr 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training Juntao Tan Shelby Heinecke Zhiwei Liu Yong-Guang Chen Yongfeng Zhang Haiquan Wang AAML 27 4 0 11 Apr 2023
SOOD: Towards Semi-Supervised Oriented Object Detection Weixin Hua Dingkang Liang Jingyu Li Xiaolong Liu Zhikang Zou Xiaoqing Ye Xiang Bai 37 36 0 10 Apr 2023
Self-training with dual uncertainty for semi-supervised medical image segmentation Zhanhong Qiu Haitao Gan Mingzhi Shi Zhongwei Huang Zhi Yang 11 2 0 10 Apr 2023
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection Chuandong Liu Chenqiang Gao Fangcen Liu Pengcheng Li Deyu Meng Xinbo Gao 3DPC 27 23 0 04 Apr 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Jingwei Sun Ziyue Xu Dong Yang V. Nath Wenqi Li Can Zhao Daguang Xu Yiran Chen H. Roth FedML 32 14 0 28 Mar 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition I. Dave Mamshad Nayeem Rizve Chong Chen M. Shah TTA 49 16 0 28 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 54 209 0 27 Mar 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training Mohammad Rezaei Farnaz Farahanipad Alex Dillhoff V. Athitsos 3DH 42 2 0 27 Mar 2023
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning Ruitong Sun Mohammad Rostami 32 2 0 26 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 17 26 0 25 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 32 0 0 24 Mar 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR Aneeshan Sain A. Bhunia Subhadeep Koley Pinaki Nath Chowdhury Soumitri Chattopadhyay Tao Xiang Yi-Zhe Song 30 18 0 24 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 40 17 0 23 Mar 2023
Two-shot Video Object Segmentation Kun Yan Xiao Li Fangyun Wei Jinglu Wang Chenbin Zhang Ping Wang Yan Lu VOS 28 14 0 21 Mar 2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data Yuhao Chen X. Tan Borui Zhao Zhaowei Chen Renjie Song Jiajun Liang Xuequan Lu 32 32 0 20 Mar 2023
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank Shirui Huang Keyan Wang Huan Liu Jun Chen Yunsong Li 31 99 0 16 Mar 2023
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection Liang Liu Boshen Zhang Jiangning Zhang Wuhao Zhang Zhenye Gan Guanzhong Tian Wenjie Zhu Yabiao Wang Chengjie Wang 16 27 0 16 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency Jae-Kwang Lim Jongkeun Na Nojun Kwak 40 1 0 15 Mar 2023
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images Nanqing Liu Xun Xu Turgay Celik Zongxin Gan Hengchao Li 38 26 0 13 Mar 2023
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection Phi Vu Tran ObjD 28 2 0 10 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai 3DPC 37 10 0 09 Mar 2023
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE Yuhui Zhang Yuichiro Wada Hiroki Waida Kaito Goto Yusaku Hino Takafumi Kanamori 32 3 0 06 Mar 2023
Pseudo-label Correction and Learning For Semi-Supervised Object Detection Yulin He Wei Chen Kevin J Liang Yusong Tan Zhengfa Liang Yulan Guo 30 4 0 06 Mar 2023
Federated Semi-Supervised Learning with Annotation Heterogeneity Xinyi Shang Gang Huang Yang Lu Jian Lou Bo Han Y. Cheung Hanzi Wang FedML 46 1 0 04 Mar 2023
Contrastive Hierarchical Clustering Michal Znale'zniak P. Rola Patryk Kaszuba Jacek Tabor Marek Śmieja 21 5 0 03 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data Sangwoo Mo Jong-Chyi Su Chih-Yao Ma Mido Assran Ishan Misra Licheng Yu Sean Bell AI4TS 34 13 0 28 Feb 2023
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays Mohammad Zunaed M. Haque Taufiq Hasan OOD 20 5 0 27 Feb 2023
Towards End-to-end Semi-supervised Learning for One-stage Object Detection Gen Luo Yiyi Zhou Lei Jin Xiaoshuai Sun Rongrong Ji 13 5 0 22 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 209 37 0 21 Feb 2023
A Survey on Semi-Supervised Semantic Segmentation Adrian Peláez-Vegas Pablo Mesejo Julián Luengo 32 27 0 20 Feb 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space Weitang Liu Ying-Wai Li Yi-Zhuang You Jingbo Shang 21 1 0 19 Feb 2023
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE Qihuang Zhong Liang Ding Keqin Peng Juhua Liu Bo Du Li Shen Yibing Zhan Dacheng Tao VLM 42 13 0 18 Feb 2023
Multi-dimensional frequency dynamic convolution with confident mean teacher for sound event detection Shengchang Xiao Xueshuai Zhang Pengyuan Zhang 13 10 0 18 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling Rongxiang Weng Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 52 4 0 17 Feb 2023
Robust Representation Learning with Self-Distillation for Domain Generalization Ankur Singh Senthilnath Jayavelu ViT OOD 18 2 0 14 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation Malik Boudiaf Tom Denton B. V. Merrienboer Vincent Dumoulin Eleni Triantafillou TTA 36 19 0 13 Feb 2023
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion Yimin Dou Kewen Li Wenjun Lv Timing Li Hongjie Duan Yuan Xiao 30 2 0 13 Feb 2023