Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation. (arXiv:2205.00147v2 [cs.LG] UPDATED)

Autonomous systems (AS) often use Deep Neural Network (DNN) classifiers to
allow them to operate in complex, high dimensional, non-linear, and dynamically
changing environments. Due to the complexity of these environments, DNN
classifiers may output misclassifications as they experience tasks in their
operational environments, that were not identified during development. Removing
a system from operation and retraining it to include these new tasks becomes
economically infeasible as the number of such ASs increases. Additionally, such
misclassifications may cause financial loss …

arxiv classifiers consolidation dnn