MINiature Interactive Offset Networks (MINIONs) for Wafer Map Classification

Yueling Jenny Zeng, Li-C. Wang, Chuanhe Jay Shan

Abstract: We present a novel approach called MINiature Interactive Offset Networks (or MINIONs). We use wafer map classification as an application example. A Minion is trained with a specially-designed one-shot learning scheme. A collection of Minions can be used to patch a master model. Experiment results are provided to explain the potential areas Minions can help and their unique benefits.