AI RESEARCH
Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes
arXiv CS.LG
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ArXi:2603.07867v1 Announce Type: new Artificial neural networks are often overconfident, undermining trust because their predicted probabilities do not match actual accuracy. Inspired by biological sleep and the role of spontaneous replay in memory and learning, we