Before revision:  The meta-learning method Reptile was found to improve accuracy. The robustness of these conclusions were tested across multiple model choices. We find that combining meta-learning with active learning methods offers inconsistent benefits.
After revision:  The meta-learning method Reptile was found to improve average accuracy across datasets. Combining meta-learning with active learning methods offers inconsistent benefits.