Search Results for author: Naoya Maruyama

Found 3 papers, 1 papers with code

Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism

no code implementations15 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.

Image Classification

Effective Quantization Approaches for Recurrent Neural Networks

no code implementations7 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.

Machine Translation Quantization +2

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