822 citations · 899 across the 14 of their papers we have counts for
4 papers · 1 filter
Cyclical Focal Loss
Leslie N. Smith
The cross-entropy softmax loss is the primary loss function used to train deep neural networks. On the other hand, the focal loss function has been demonstrated to provide improved…
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…
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,…
How to find real-world applications for compressive sensing
Leslie N. Smith
The potential of compressive sensing (CS) has spurred great interest in the research community and is a fast growing area of research. However, research translating CS theory into…