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A Study of Compositional Generalization in Neural Models
One difficulty in the development of such models is the lack of benchmarks with clear compositional and relational task structure on which to systematically evaluate them.
Transfer Learning in Visual and Relational Reasoning
Transfer learning has become the de facto standard in computer vision and natural language processing, especially where labeled data is scarce.
On transfer learning using a MAC model variant
We introduce a variant of the MAC model (Hudson and Manning, ICLR 2018) with a simplified set of equations that achieves comparable accuracy, while training faster.
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