2026
Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings
CVPR 2026
Reliable generalization metrics are fundamental to the evaluation of machine learning models. Especially in high-stakes applications where labeled target data are scarce, evaluation of models' generalization performance under distribution shift is a pressing need. We focus on two practical scenarios