Recurrent Relational Networks

NeurIPS 2018 Rasmus Berg PalmUlrich PaquetOle Winther

This paper is concerned with learning to solve tasks that require a chain of interdependent steps of relational inference, like answering complex questions about the relationships between objects, or solving puzzles where the smaller elements of a solution mutually constrain each other. We introduce the recurrent relational network, a general purpose module that operates on a graph representation of objects... (read more)

PDF Abstract

Evaluation Results from the Paper


#3 best model for Question Answering on bAbi (Mean Error Rate metric)

     Get a GitHub badge
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Question Answering bAbi RR Mean Error Rate 0.46% # 3