Search Results for author: Javier Fernández-Marqués

Found 1 papers, 1 papers with code

An Empirical study of Binary Neural Networks' Optimisation

1 code implementation ICLR 2019 Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal

In this work, we empirically identify and study the effectiveness of the various ad-hoc techniques commonly used in the literature, providing best-practices for efficient training of binary models.

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