A new technical paper titled "Post-hoc Uncertainty Learning using a Dirichlet Meta-Model" was published (preprint) by researchers at MIT, University of Florida, and MIT-IBM Watson AI Lab (IBM Research).
The work demonstrates how to quantify the level of certainty in its predictions, while using less compute resources. “Uncertainty quantification is essential for both developers and users o...
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