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ORCID1st EMDL@MobiSys 2017: Niagara Falls, NY, USA
- Proceedings of the 1st International Workshop on Embedded and Mobile Deep Learning (Deep Learning for Mobile Systems and Applications), EMDL@MobiSys 2017, Niagara Falls, NY, USA, June 23, 2017. ACM 2017, ISBN 978-1-4503-4962-8
Optimizations for Constrained Computing
- Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian:
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU. 1-6 - Moustafa Alzantot, Yingnan Wang, Zhengshuang Ren, Mani B. Srivastava
:
RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices. 7-12 - Jia Guo, Miodrag Potkonjak:
Pruning Filters and Classes: Towards On-Device Customization of Convolutional Neural Networks. 13-17
Novel Applications and End-to-end Systems
- Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà:
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. 19-24 - Beomjun Kim, Yongsu Jeon, Heejin Park, Dongheon Han, Yunju Baek:
Design and Implementation of the Vehicular Camera System using Deep Neural Network Compression. 25-30
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