An Overview of Machine Teaching

TL;DR

This paper organizes machine teaching into a structured problem space by defining key ideas and dimensions, aiming to deepen understanding, reveal connections, and identify gaps in the field.

Contribution

It introduces a comprehensive framework for categorizing machine teaching problems based on multiple dimensions, facilitating better analysis and research directions.

Findings

Provides a unified problem space for machine teaching

Identifies key dimensions that characterize teaching problems

Suggests new research directions based on the framework

Abstract

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.