1st International Workshop on
Embedded and Mobile Deep Learning

Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions - Kleomenis Katevas (Queen Mary University of London), Ilias Leontiadis, Martin Pielot, Joan Serra (Telefonica Research)

Design and Implementation of the Vehicular Camera System using Deep Neural Network Compression - Beomjun Kim, Yongsu Jeon, Heejin Park, Dongheon Han, Yunju Baek (South Korea Pusan National University)

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU - Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian (Stony Brook University)

RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices - Moustafa Alzantot, Yingnan Wang, Zhengshuang Ren, Mani Srivastava (UCLA)

Pruning Filters and Classes: Towards On-Device Customization of Convolutional Neural Networks - Jia Guo, Miodrag Potkonjak (UCLA)