2021
Addressing Catastrophic Forgetting in Few-Shot Problems
ICML 2021spotlight
Neural networks are known to suffer from catastrophic forgetting when trained on sequential datasets. While there have been numerous attempts to solve this problem in large-scale supervised classification, little has been done to overcome catastrophic forgetting in few-shot classification problems.…