Adversarial Transformations for Semi-Supervised Learning

13 November 2019

Papers citing "Adversarial Transformations for Semi-Supervised Learning"

7 / 7 papers shown

Title
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 35 9 0 04 Oct 2023
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 45 113 0 24 Aug 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 21 48 0 25 Feb 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 32 86 0 15 Feb 2022
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 62 40 0 07 Aug 2021
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017