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5th EMDL@MobiSys 2021: Virtual Event, Wisconsin, USA

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EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, Virtual Event, Wisconsin, USA, June 25, 2021. ACM 2021, ISBN 978-1-4503-8597-8
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  - conf/mobisys/LaskaridisKL21
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Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane:
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. 1-6
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Qingqing Cao, Alexandru Eugen Irimiea, Mohamed S. Abdelfattah, Aruna Balasubramanian, Nicholas D. Lane:
Are Mobile DNN Accelerators Accelerating DNNs? 7-12
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  - conf/mobisys/SaffariTKSSS21
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Ali Saffari, Sin Yong Tan, Mohamad Katanbaf, Homagni Saha, Joshua R. Smith, Soumik Sarkar:
Battery-Free Camera Occupancy Detection System. 13-18
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  - conf/mobisys/LeeWXDWLBC21
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Jayoung Lee, Pengcheng Wang, Ran Xu, Venkat Dasari, Noah Weston, Yin Li, Saurabh Bagchi, Somali Chaterji:
Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention. 19-24
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Jingyu Lee, Yunxin Liu, Youngki Lee:
ParallelFusion: Towards Maximum Utilization of Mobile GPU for DNN Inference. 25-30
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Dongqi Cai, Qipeng Wang, Yuanqiang Liu, Yunxin Liu, Shangguang Wang, Mengwei Xu:
Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. 31-36
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Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Jia Jie Lim, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides:
Enabling Binary Neural Network Training on the Edge. 37-38

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