14 citations · 34 across the 8 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.DC2018★ 7 cited
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism
Nicolas Weber, Florian Schmidt, Mathias Niepert +1
Neural network frameworks such as PyTorch and TensorFlow are the workhorses of numerous machine learning applications ranging from object recognition to machine translation. While…
cs.CV2018
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan, Nicolas Weber, Michael Goesele +1
Most convolutional neural networks use some method for gradually downscaling the size of the hidden layers. This is commonly referred to as pooling, and is applied to reduce the nu…