Spurious Feature Diversification Improves Out-of-distribution Generalization

Yong Lin, Lu Tan, Yifan Hao +5

Generalization to out-of-distribution (OOD) data is a critical challenge in machine learning. Ensemble-based methods, like weight space ensembles that interpolate model parameters,…