1.9k citations · 2.4k across the 13 of their papers we have counts for
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cs.LG2020★ 3 cited
Continual Learning from the Perspective of Compression
Xu He, Min Lin
Connectionist models such as neural networks suffer from catastrophic forgetting. In this work, we study this problem from the perspective of information theory and define forgetti…
cs.AI2020★ 13 cited
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko +8
Continual learning studies agents that learn from streams of tasks without forgetting previous ones while adapting to new ones. Two recent continual-learning scenarios have opened…