2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
Zhijie Wang, Yuheng Huang, Lei Ma +3
Deep learning (DL) has become a driving force and has been widely adopted in many domains and applications with competitive performance. In practice, to solve the nontrivial and co…
cs.CV2022
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations
Satoshi Munakata, Caterina Urban, Haruki Yokoyama +2
It is known that deep neural networks (DNNs) classify an input image by paying particular attention to certain specific pixels; a graphical representation of the magnitude of atten…
cs.SE2021
Sirius: Static Program Repair with Dependence Graph-Based Systematic Edit Patterns
Kunihiro Noda, Haruki Yokoyama, Shinji Kikuchi
Software development often involves systematic edits, similar but nonidentical changes to many code locations, that are error-prone and laborious for developers. Mining and learnin…