Why should we add early exits to neural networks?

27 Apr 2020Simone ScardapaneMichele ScarpinitiEnzo BaccarelliAurelio Uncini

Deep neural networks are generally designed as a stack of differentiable layers, in which a prediction is obtained only after running the full stack. Recently, some contributions have proposed techniques to endow the networks with early exits, allowing to obtain predictions at intermediate points of the stack... (read more)

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