Gianluca M. Bencomo

Proceedings of the Annual Meeting of the Cognitive Science Society

It is shown that meta-learning can substantially reduce or entirely eliminate performance differences across architectures and data representations, suggesting that these factors may be less important as sources of inductive bias than is typically assumed.