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Found 2 papers, 1 papers with code
Bayesian Online Meta-Learning
This work introduces a Bayesian online meta-learning framework to tackle the catastrophic forgetting and the sequential few-shot tasks problems.
Addressing Catastrophic Forgetting in Few-Shot Problems
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.
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