Recurrent Relational Networks

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)

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Results from the Paper


Ranked #3 on Question Answering on bAbi (Mean Error Rate metric)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Question Answering bAbi RR Mean Error Rate 0.46% # 3

Methods used in the Paper


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