Metalearning attracted considerable interest in the machine learning community\nin the last years. Yet, some disagreement remains on what does or what does not constitute\na metalearning problem and in which contexts the term is used in. This survey aims at\ngiving an all-encompassing overview of the research directions pursued under the umbrella\nof metalearning, reconciling different definitions given in scientific literature, listing the\nchoices involved when designing a metalearning system and identifying some of the future\nresearch challenges in this domain.
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