1 code implementation • 6 May 2024 • Guangtao Zheng, Wenqian Ye, Aidong Zhang
The fine-grained training labels are formulated with different prediction behaviors of the classifier identified in a novel spuriousness embedding space.
1 code implementation • 20 Feb 2024 • Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma, Aidong Zhang
Machine learning systems are known to be sensitive to spurious correlations between non-essential features of the inputs (e. g., background, texture, and secondary objects) and the corresponding labels.
1 code implementation • 20 Dec 2023 • Guangtao Zheng, Mengdi Huai, Aidong Zhang
Then, we propose Adversarial learning with Semantics Transformations (AdvST) that augments the source domain data with semantics transformations and learns a robust model with the augmented data.
2 code implementations • ACL 2020 • Hanjie Chen, Guangtao Zheng, Yangfeng Ji
Experiments show the effectiveness of the proposed method in providing explanations that are both faithful to models and interpretable to humans.