Encoding expected structure or behavior via symbolic constraints promotes the learning of more generalizable representations, which improves performance on out-of-distribution (OOD) data where spurious correlations may no longer hold.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (1)

• Out-of-Distribution concept