HackerPapers

arXiv:1801.05927cs.LG

An Overview of Machine Teaching

Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

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.

arXiv comments
A tutorial document grown out of NIPS 2017 Workshop on Teaching Machines, Robots, and Humans
Journal reference
DOI
Subjects
cs.LGMachine Learning

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Mar 2022 to Mar 2022. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.