822 citations · 899 across the 14 of their papers we have counts for
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cs.CV2015
Convolutional Architecture Exploration for Action Recognition and Image Classification
J. T. Turner, David Aha, Leslie Smith +1
Convolutional Architecture for Fast Feature Encoding (CAFFE) [11] is a software package for the training, classifying, and feature extraction of images. The UCF Sports Action datas…
cs.NE2015
Gradual DropIn of Layers to Train Very Deep Neural Networks
Leslie N. Smith, Emily M. Hand, Timothy Doster
We introduce the concept of dynamically growing a neural network during training. In particular, an untrainable deep network starts as a trainable shallow network and newly added l…
cs.CV2015
Cyclical Learning Rates for Training Neural Networks
Leslie N. Smith
It is known that the learning rate is the most important hyper-parameter to tune for training deep neural networks. This paper describes a new method for setting the learning rate,…