26 citations · 26 across the 1 of their papers we have counts for
2 papers
cs.CV2019
Efficient Saliency Maps for Explainable AI
T. Nathan Mundhenk, Barry Y. Chen, Gerald Friedland
We describe an explainable AI saliency map method for use with deep convolutional neural networks (CNN) that is much more efficient than popular fine-resolution gradient methods. I…
cs.LG2015★ 26 cited
Large-Scale Deep Learning on the YFCC100M Dataset
Karl Ni, Roger Pearce, Kofi Boakye +4
We present a work-in-progress snapshot of learning with a 15 billion parameter deep learning network on HPC architectures applied to the largest publicly available natural image an…