Guillermo Cecchi

ProtoDash: Fast Interpretable Prototype Selection

2017 · arXiv (Cornell University)

In this paper we propose an efficient algorithm ProtoDash for selecting prototypical examples from complex datasets. Our work builds on top of the learn to criticize (L2C) work by Kim et al. (2016) and generalizes …