Boosting Neural Network Reliability: Introducing Hierarchical Bayesian Approach

This research paper from ArXiv explores a novel approach to improve the reliability of neural networks, specifically addressing overfitting issues. The introduction of a Hierarchical Approximate Bayesian Neural Network marks a significant step towards more robust and dependable AI models.

• •Addresses overfitting challenges in neural networks.
• •Proposes a Hierarchical Approximate Bayesian Neural Network (HABNN).
• •Aims to improve reliability and dependability of AI models.