Liangze Jiang

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?

2024 · arXiv (Cornell University)

Out-of-distribution (OOD) generalization is challenging because distribution shifts come in many forms. Numerous algorithms exist to address specific settings, but choosing the right training algorithm for the right dataset without trial and error is difficult. …