6 citations · 6 across the 1 of their papers we have counts for
3 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★ 6 cited
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…
cs.CV2023
General-Purpose Multi-Modal OOD Detection Framework
Viet Duong, Qiong Wu, Zhengyi Zhou +5
Out-of-distribution (OOD) detection identifies test samples that differ from the training data, which is critical to ensuring the safety and reliability of machine learning (ML) sy…