| Brad McDanel

a diagram of different types of channel covers

Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference

B. McDanel, S. Teerapittayanon, H. T. Kung International Conference On Machine Learning And Applications (ICMLA), 2017 paper

a diagram showing the location of an edge exit and local exit

Distributed Deep Neural Networks over the Cloud, the Edge and End Devices

S. Teerapittayanon, B. McDanel, H. T. Kung International Conference on Distributed Computing Systems (ICDCS), 2017 paper | code

a diagram showing the different types of text

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

S. Teerapittayanon, B. McDanel, H. T. Kung International Conference on Pattern Recognition (ICPR), 2016 paper

a diagram showing the different types of labels

Sparse Coding Trees with Application to Emotion Classification

H. Chen, M. Z. Comiter, H. T. Kung, B. McDanel IEEE Workshop on Analysis and Modeling of Faces and Gestures […]