Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation

Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem +3

We propose and study a realistic Continual Learning (CL) setting where learning algorithms are granted a restricted computational budget per time step while training. We apply this…