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Closing the Gap Between Performance and Interpretability in Visual Reasoning (arxiv.org)
4 points by andyjohnson0 on Sept 12, 2018 | hide | past | favorite | 1 comment



For a fairly accessible description of this work see [1]. As I understand it, they're addressing the problem of the internal functioning of DNNs being hard to interpret, by using composable NN modules.

[1] http://news.mit.edu/2018/mit-lincoln-laboratory-ai-system-so...




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