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ORCID2nd EMDL@MobiSys 2018: Munich, Germany
- Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, EMDL@MobiSys 2018, Munich, Germany, June 15, 2018. ACM 2018, ISBN 978-1-4503-5844-6
- Koen Goetschalckx, Bert Moons, Patrick Wambacq
, Marian Verhelst:
Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression. 1-6 - Huynh Nguyen Loc, Youngki Lee, Rajesh Krishna Balan:
D-Pruner: Filter-Based Pruning Method for Deep Convolutional Neural Network. 7-12 - Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane:
On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. 13-18 - Mario Parreño Centeno, Yu Guan, Aad van Moorsel:
Mobile Based Continuous Authentication Using Deep Features. 19-24 - Yiren Zhao, Xitong Gao, Robert D. Mullins, Chengzhong Xu:
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. 25-30 - Prahalathan Sundaramoorthy, Gautham Krishna Gudur, Manav Rajiv Moorthy, R. Nidhi Bhandari, Vineeth Vijayaraghavan:
HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices. 31-36 - Myungjae Shin, Joongheon Kim, Aziz Mohaisen, Jaebok Park, KyungHee Lee:
Neural Network Syntax Analyzer for Embedded Standardized Deep Learning. 37-41 - Shuochao Yao, Yiran Zhao, Shaohan Hu, Tarek F. Abdelzaher:
QualityDeepSense: Quality-Aware Deep Learning Framework for Internet of Things Applications with Sensor-Temporal Attention. 42-47
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