2 citations · 5 across the 6 of their papers we have counts for
1 paper · 1 filter
Timm Hess, Martin Mundt, Iuliia Pliushch +1
Several families of continual learning techniques have been proposed to alleviate catastrophic interference in deep neural network training on non-stationary data. However, a compr…