Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks

Maximilian Schlegel, Rajai Nasser, Seijin Kobayashi +6

We investigate a general-purpose layer for deep learning that, instead of compressing arbitrary-size training data into fixed-size weight matrices, stores a new pair of key-value r…