74 citations · 198 across the 11 of their papers we have counts for
3 papers · 1 filter
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge, Christian Bartz, Haojin Yang +2
Binary Neural Networks (BNNs) are neural networks which use binary weights and activations instead of the typical 32-bit floating point values. They have reduced model sizes and al…
Learning to Train a Binary Neural Network
Joseph Bethge, Haojin Yang, Christian Bartz +1
Convolutional neural networks have achieved astonishing results in different application areas. Various methods which allow us to use these models on mobile and embedded devices ha…
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Haojin Yang, Martin Fritzsche, Christian Bartz +1
Binary Neural Networks (BNNs) can drastically reduce memory size and accesses by applying bit-wise operations instead of standard arithmetic operations. Therefore it could signific…