Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage ...
“Testing and control sit at the center of how complex hardware is developed and deployed, but the tools supporting that work haven’t kept pace with system complexity,” said Revel founder and CEO Scott ...
Abstract: Effectively estimating the uncertainty attached to neural network predictions thus becomes essential to improve robustness, reliability, and trustworthiness. This paper provides an overview ...
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