Learning Maximally Predictive Prototypes in Multiple Instance Learning

1 code implementation • 2 Oct 2019 • Mert Yuksekgonul, Ozgur Emre Sivrikaya, Mustafa Gokce Baydogan

In this work, we propose a simple model that provides permutation invariant maximally predictive prototype generator from a given dataset, which leads to interpretability of the solution and concrete insights to the nature and the solution of a problem.

Multiple Instance Learning