Before revision:  We also find empirical evidence that zero and few-shot learning markedly benefit from adding more ` dataset-internal' , self-supervised training signals, which is of practical importance when retrieving or computing on large external sources of such signals is infeasible .
After revision:  We also find empirical evidence that zero and few-shot learning markedly benefit from increasing ' dataset-internal' , self-supervised training signals, which is of practical importance when retrieving or computing on large external sources of such signals is infeasible .