7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.LG2018★ 7 cited
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
Haruki Imai, Samuel Matzek, Tung D. Le +2
Deep neural network models used for medical image segmentation are large because they are trained with high-resolution three-dimensional (3D) images. Graphics processing units (GPU…
cs.DC2018
Data-parallel distributed training of very large models beyond GPU capacity
Samuel Matzek, Max Grossman, Minsik Cho +3
GPUs have limited memory and it is difficult to train wide and/or deep models that cause the training process to go out of memory. It is shown in this paper how an open source tool…