An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty

no code implementations • 13 Dec 2022 • Zhijie Wang, Yuheng Huang, Lei Ma, Haruki Yokoyama, Susumu Tokumoto, Kazuki Munakata

More importantly, it also lacks systematic investigation on how to perform the risk assessment for AI systems from unit level to system level.

Practical Insights of Repairing Model Problems on Image Classification

no code implementations • 14 May 2022 • Akihito Yoshii, Susumu Tokumoto, Fuyuki Ishikawa

Especially, we formulated use cases for industrial settings in terms of arrangements of a data set.

Classification Image Classification

NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History

no code implementations • 1 Mar 2022 • Shogo Tokui, Susumu Tokumoto, Akihito Yoshii, Fuyuki Ishikawa, Takao Nakagawa, Kazuki Munakata, Shinji Kikuchi

Search-based repair techniques for DNNs have potentials to tackle this challenge by enabling localized updates only on "responsible parameters" inside the DNN.

regression