One-shot skill assessment in high-stakes domains with limited data via meta learning

1 code implementation • 16 Dec 2022 • Erim Yanik, Steven Schwaitzberg, Gene Yang, Xavier Intes, Jack Norfleet, Matthew Hackett, Suvranu De

This study marks the first instance of a domain-agnostic methodology for skill assessment in critical fields setting a precedent for the broad application of DL across diverse real-life domains with limited data.

Domain Adaptation Meta-Learning +1