no code implementations • 4 Feb 2021 • Mikail Yayla, Mario Günzel, Burim Ramosaj, Jian-Jia Chen
Neural networks (NNs) are known for their high predictive accuracy in complex learning problems.
no code implementations • 2 Feb 2021 • Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
In this study, our objective is to investigate the internal changes in the NNs that bit flip training causes, with a focus on binarized NNs (BNNs).
no code implementations • 3 Feb 2020 • Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Finally, we explore the influence of a novel regularizer that optimizes with respect to this metric, with the aim of providing a configurable trade-off in accuracy and BET.
