About this document
Uncertainty Estimation Trends 2024-2025 by ياسين حمزوي is a document available to read on EtoBox.
The document outlines key trends in uncertainty estimation and quantification for deep learning models in 2024-2025, focusing on advancements such as conformal prediction, calibration for language models, and out-of-distribution detection. It emphasizes the importance of operationalizing uncertainty in various applications, including medical imaging and active learning, while proposing promising project directions for further research. Practical takeaways include integrating conformal metrics into reporting
- Author
- ياسين حمزوي
- Language
- EN