Andreas Krause, Martin Josifoski
Meta-learning can successfully acquire useful inductive biases from data. Yet, its generalization properties to unseen learning tasks are poorly understood. Particularly if the number of meta-training tasks is small, this raises concerns about overfitting. ...
JMLR-JOURNAL MACHINE LEARNING RESEARCH2021