Learning Stable Predictors from Weak Supervision under Distribution Shift

Mehrdad Shoeibi, Elias Hossain, Ivan Garibay +1

Learning from weak, proxy, or relative supervision is common when ground-truth labels are unavailable, but robustness under distribution shift remains poorly understood because the…