6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 6 cited
Looking back to lower-level information in few-shot learning
Zhongjie Yu, Sebastian Raschka
Humans are capable of learning new concepts from small numbers of examples. In contrast, supervised deep learning models usually lack the ability to extract reliable predictive rul…
cs.LG2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu, Lin Chen, Zhongwei Cheng +1
The successful application of deep learning to many visual recognition tasks relies heavily on the availability of a large amount of labeled data which is usually expensive to obta…