Yuanxin Zhuang

A Comprehensive Survey on Self-Interpretable Neural Networks

2025 · arXiv (Cornell University)

Neural networks have achieved remarkable success across various fields. However, the lack of interpretability limits their practical use, particularly in critical decision-making scenarios. Post-hoc interpretability, which provides explanations for pre-trained models, is often at risk …