140 citations · 382 across the 16 of their papers we have counts for
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cs.CV2016
Fast-AT: Fast Automatic Thumbnail Generation using Deep Neural Networks
Seyed A. Esmaeili, Bharat Singh, Larry S. Davis
Fast-AT is an automatic thumbnail generation system based on deep neural networks. It is a fully-convolutional deep neural network, which learns specific filters for thumbnails of…
cs.LG2016★ 140 cited
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor, Ryan Burmeister, Zheng Xu +3
With the growing importance of large network models and enormous training datasets, GPUs have become increasingly necessary to train neural networks. This is largely because conven…