(Pentina et al., 2015;Oh et al., 2015;Gong et al., 2016;Zhang et al., 2017)).
while in CL the prediction task is fixed but the trained algorithm is exposed to increasingly more complex training examples in subsequent stages, in TRL the algorithm is trained to solve increasingly more complex tasks in subsequent stages, but the training data is kept fixed across the stages.