Neural Additive Models: Interpretable Machine Learning with Neural Nets

29 Apr 2020Rishabh AgarwalNicholas FrosstXuezhou ZhangRich CaruanaGeoffrey E. Hinton

Deep neural networks (DNNs) are powerful black-box predictors that have achieved impressive performance on a wide variety of tasks. However, their accuracy comes at the cost of intelligibility: it is usually unclear how they make their decisions... (read more)

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