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.
@article{arxiv.1801.05927,
title = {An Overview of Machine Teaching},
author = {Xiaojin Zhu and Adish Singla and Sandra Zilles and Anna N. Rafferty},
journal= {arXiv preprint arXiv:1801.05927},
year = {2018}
}
Comments
A tutorial document grown out of NIPS 2017 Workshop on Teaching Machines, Robots, and Humans