Spurious Correlations in Machine Learning: A Survey

no code implementations • 20 Feb 2024 • Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma, Xia Hu, Aidong Zhang

Machine learning systems are known to be sensitive to spurious correlations between biased features of the inputs (e. g., background, texture, and secondary objects) and the corresponding labels.

AdvST: Revisiting Data Augmentations for Single Domain Generalization

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.

Data Augmentation Domain Generalization

Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection

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.

Decision Making General Classification +2