In plain words: Machine teaching is the craft of picking the fewest, most useful examples to teach a computer system a concept. This overview sorts the field's ideas along a set of dimensions, forming a map where existing teaching problems can be placed to reveal connections and gaps.

Abstract · An Overview of Machine Teaching

In this paper we try to organize machine teaching as a coherent set of ideas. Each idea is presented as varying along a dimension. The collection of dimensions then form the problem space of machine teaching, such that existing teaching problems can be characterized in this space. We hope this organization allows us to gain deeper understanding of individual teaching problems, discover connections among them, and identify gaps in the field.

Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty
arXiv:1801.05927 · cs.LG · submitted Jan 18, 2018
abstract · pdf · html · A tutorial document grown out of NIPS 2017 Workshop on Teaching Machines, Robots, and Humans