Showing cs.LGShow all
2 papers · 1 filter
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
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…