Continual Learning: how to defy catastrophical forgetting KU Leuven
Lately there have been impressive improvements in the fields of Machine Intellegence and AI. The problem with these recent models is that they are not able to adapt or evolve. This is problematic when the model has to learn a new category or label, a new action or behavior or something else. The only way a static model can adapt and learn something new is by retraining on all previous data and the new data combined. This means that all ...