no code implementations • 28 Sep 2020 • Pauching Yap, Hippolyt Ritter, David Barber
This work introduces a Bayesian online meta-learning framework to tackle the catastrophic forgetting and the sequential few-shot tasks problems.
1 code implementation • 30 Apr 2020 • Pauching Yap, Hippolyt Ritter, David Barber
We demonstrate that the popular gradient-based model-agnostic meta-learning algorithm (MAML) indeed suffers from catastrophic forgetting and introduce a Bayesian online meta-learning framework that tackles this problem.