Memory Networks

Summary

Introduces a class of models that combine inference components with a long-term memory that can be read from and written to, and learn to use the two together. Evaluated on question answering, where the memory acts as a dynamic knowledge base.

CommentaryOne of the first neural architectures to treat memory as a separate component that is written and read — an early step toward memory outside the model.