1 code implementation • 25 Jul 2020 • Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter Nugent, Brian Van Essen
We present scalable hybrid-parallel algorithms for training large-scale 3D convolutional neural networks.
no code implementations • 15 Mar 2019 • Nikoli Dryden, Naoya Maruyama, Tom Benson, Tim Moon, Marc Snir, Brian Van Essen
We also see an emerging need to handle datasets with very large samples, where memory requirements for training are large.
no code implementations • 7 Feb 2018 • Md Zahangir Alom, Adam T Moody, Naoya Maruyama, Brian C. Van Essen, Tarek M. Taha
These proposed approaches are evaluated on different datasets for sentiment analysis on IMDB and video frame predictions on the moving MNIST dataset.