57 citations · 70 across the 3 of their papers we have counts for
3 papers
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…
stat.ML2019★ 57 cited
Task Agnostic Continual Learning via Meta Learning
Xu He, Jakub Sygnowski, Alexandre Galashov +3
While neural networks are powerful function approximators, they suffer from catastrophic forgetting when the data distribution is not stationary. One particular formalism that stud…
cs.NE2017★ 10 cited
Overcoming Catastrophic Interference by Conceptors
Xu He, Herbert Jaeger
Catastrophic interference has been a major roadblock in the research of continual learning. Here we propose a variant of the back-propagation algorithm, "conceptor-aided back-prop"…