Hirotaka Hachiya

Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning

Matching two different sets of items, called heterogeneous set-to-set matching problem, has recently received attention as a promising problem. The difficulties are to extract features to match a correct pair of different sets and also preserve two types of exchangeability required for set-to-set ma…