“…Meta-learning is currently widely used in natural language processing [11] and in computer vision fields [12] such as image recognition [13,14], image classification [15,16], object detection [17,18], and recommender systems [19,20]. In these scenarios, samples may be inherently scarce or difficult to collect, and annotated labels may be difficult to obtain.…”