research
∙
12/16/2021
Learning Interpretable Models Through Multi-Objective Neural Architecture Search
Monumental advances in deep learning have led to unprecedented achieveme...
share
research
∙
10/05/2019
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets
Training deep neural networks on large scientific data is a challenging ...
research
∙
03/15/2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism
Scaling CNN training is necessary to keep up with growing datasets and r...
research
∙
07/06/2016