2 papers
cs.SE2025
Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection
Yanfu Yan, Viet Duong, Huajie Shao +1
Numerous machine learning (ML) models have been developed, including those for software engineering (SE) tasks, under the assumption that training and testing data come from the sa…
cs.LG2024
CAT: Interpretable Concept-based Taylor Additive Models
Viet Duong, Qiong Wu, Zhengyi Zhou +5
As an emerging interpretable technique, Generalized Additive Models (GAMs) adopt neural networks to individually learn non-linear functions for each feature, which are then combine…