Loss-aware Binarization of Deep Networks

5 Nov 2016Lu HouQuanming YaoJames T. Kwok

Deep neural network models, though very powerful and highly successful, are computationally expensive in terms of space and time. Recently, there have been a number of attempts on binarizing the network weights and activations... (read more)

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