22 citations · 24 across the 7 of their papers we have counts for
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cs.LG2026
Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes
Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan +1
Artificial neural networks are often overconfident, undermining trust because their predicted probabilities do not match actual accuracy. Inspired by biological sleep and the role…
cs.LG2024★ 1 cited
Unsupervised Replay Strategies for Continual Learning with Limited Data
Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan +1
Artificial neural networks (ANNs) show limited performance with scarce or imbalanced training data and face challenges with continuous learning, such as forgetting previously learn…