1 code implementation • 16 Aug 2022 • Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji
Diffusion Denoising Probability Models (DDPM) and Vision Transformer (ViT) have demonstrated significant progress in generative tasks and discriminative tasks, respectively, and thus far these models have largely been developed in their own domains.
no code implementations • 10 Dec 2021 • Mingwen Dong, Christos Christodoulopoulos, Sheng-Min Shih, Xiaofei Ma
A BERT-based retrieval model made more mistakes in retrieving refuting evidence for false claims than supporting evidence for true claims.
no code implementations • 1 Jan 2021 • Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin
Our approach effectively selects the baseline as the closest realistic sample belong to the target class, which allows attribution methods to provide true one-vs-one explanations.
1 code implementation • 11 Nov 2020 • Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin
Attribution methods have been shown as promising approaches for identifying key features that led to learned model predictions.