tokens: To alleviate both problems , we propose to regularize a model to optimize less on the uncertain transferred - knowledge by using the maximum entropy regularizer ( MER ) DBLP : journals / corr / PereyraTCKH17 , jaynes57 and exclude a number of samples in the new group of classes during stochastic gradient descent of a mini - batch ( which we call DropOut Sampling ( DOS ) .