Robustness in AI models is defined as the ability to maintain stable and reliable performance when subjected to varied and unexpected conditions, extending beyond training data accuracy to include generalization across real-world scenarios.

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 (3)

• AI models concept
• robustness concept
• generalization concept