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Towards stability and robustness

Practical AI

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Enhancing Model Stability through Out-of-Distribution Detection and Confidence Estimation

This chapter focuses on the significance of verifying that data models are based on expected distributions, along with current research on out-of-distribution detection. It also explores confidence estimation techniques and the necessity of human oversight in enhancing model reliability for critical applications.

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