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cs.AR2022
Exploiting Kernel Compression on BNNs
Franyell Silfa, Jose Maria Arnau, Antonio González
Binary Neural Networks (BNNs) are showing tremendous success on realistic image classification tasks. Notably, their accuracy is similar to the state-of-the-art accuracy obtained b…
cs.NE2022★ 1 cited
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme
Franyell Silfa, Jose-Maria Arnau, Antonio González
Recurrent Neural Networks (RNNs) are a key technology for applications such as automatic speech recognition or machine translation. Unlike conventional feed-forward DNNs, RNNs reme…