14 citations · 19 across the 5 of their papers we have counts for
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cs.LG2019★ 14 cited
Rethinking Full Connectivity in Recurrent Neural Networks
Matthijs Van Keirsbilck, Alexander Keller, Xiaodong Yang
Recurrent neural networks (RNNs) are omnipresent in sequence modeling tasks. Practical models usually consist of several layers of hundreds or thousands of neurons which are fully…
cs.LG2019
Instant Quantization of Neural Networks using Monte Carlo Methods
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
Low bit-width integer weights and activations are very important for efficient inference, especially with respect to lower power consumption. We propose Monte Carlo methods to quan…