477 citations · 479 across the 3 of their papers we have counts for
3 papers
cs.SD2022
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training
Bowen Zhang, Songjun Cao, Xiaoming Zhang +3
Recent studies have shown that the benefits provided by self-supervised pre-training and self-training (pseudo-labeling) are complementary. Semi-supervised fine-tuning strategies u…
cs.LG2021★ 477 cited
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang, Yidong Wang, Wenxin Hou +4
The recently proposed FixMatch achieved state-of-the-art results on most semi-supervised learning (SSL) benchmarks. However, like other modern SSL algorithms, FixMatch uses a pre-d…
cs.CV2019★ 2 cited
Effective Domain Knowledge Transfer with Soft Fine-tuning
Zhichen Zhao, Bowen Zhang, Yuning Jiang +3
Convolutional neural networks require numerous data for training. Considering the difficulties in data collection and labeling in some specific tasks, existing approaches generally…