[13] use METEOR scores between captions as a similarity metric for specializing embeddings for image retrieval, but do not directly Figure<cite> 1</cite> : Building on prototype networks [26] , we propose few-shot classification models whose learned representations are constrained to predict natural language descriptions of the task during training, in contrast to models <cite>[1]</cite> which explicitly use language as a bottleneck for classification.