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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189363
Abstract: Existing methods for function smoothness in neural networks have limitations. These methods can make training sensitive to their hyperparameters, or their smoothness constraints can limit model capacity. These methods can impose too much smoothness, even…
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Keywords:
function smoothness;
neural networks;
function;
smoothness neural ... See more keywords