Quantifying the impact of feature-driven shortcuts in machine learning benchmarks for circuit performance prediction
Machine learning is increasingly used in Electronic Design Automation (EDA) to predict circuit performance, but the reliability of these models can be compromised by features whose correlation with the target largely reflects the target’s own definition rather than genuine, generalizable structure. This study investiga...