Self-Training: A Survey

24 February 2022

Papers citing "Self-Training: A Survey"

8 / 58 papers shown

Title
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation Ye Du Yujun Shen Haochen Wang Jingjing Fei Wei Li Liwei Wu Rui Zhao Zehua Fu Qingjie Liu 42 29 0 15 Sep 2022
Fraud Dataset Benchmark and Applications P. Grover Ju Xu Justin Tittelfitz Anqi Cheng Zheng Li Jakub Zablocki Jianbo Liu Hao Zhou AAML 18 3 0 30 Aug 2022
Inference and Optimization for Engineering and Physical Systems M. Krechetov 8 0 0 29 Aug 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 19 2 0 23 Aug 2022
Voxels Intersecting along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT Qinghui Liu B. MacIntosh Till Schellhorn Karoline Skogen K. Emblem A. Bjørnerud 20 6 0 12 Aug 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 218 861 0 15 Oct 2021
Multi-class Probabilistic Bounds for Self-learning Vasilii Feofanov Emilie Devijver Massih-Reza Amini 22 3 0 29 Sep 2021
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 216 787 0 26 Aug 2019