2 citations · 3 across the 3 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Corner case data description and detection
Tinghui Ouyang, Vicent Sant Marco, Yoshinao Isobe +3
As the major factors affecting the safety of deep learning models, corner cases and related detection are crucial in AI quality assurance for constructing safety- and security-crit…
cs.LG2020★ 1 cited
Self-paced Data Augmentation for Training Neural Networks
Tomoumi Takase, Ryo Karakida, Hideki Asoh
Data augmentation is widely used for machine learning; however, an effective method to apply data augmentation has not been established even though it includes several factors that…