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DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.

, , , , , , and . IPSN, page 23:1-23:12. IEEE, (2016)

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Imitating Interactive Intelligence., , , , , , , , , and 14 other author(s). CoRR, (2020)An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices., , , , and . IoT-App@SenSys, page 7-12. ACM, (2015)DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning., , and . UbiComp, page 283-294. ACM, (2015)Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices.. MobiSys PhDForum, page 9. ACM, (2015)A Multi-view Content-Based User Recommendation Scheme for Following Users in Twitter., and . SocInfo, volume 7710 of Lecture Notes in Computer Science, page 434-447. Springer, (2012)ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation., , , and . MobiSys, page 273-286. ACM, (2015)Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations., , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 1 (3): 50:1-50:19 (2017)Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading., , , and . MobiSys, page 306-318. ACM, (2017)A data-driven approach for learning to control computers., , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9466-9482. PMLR, (2022)Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX., , , , and . MobiSys (Companion Volume), page 109. ACM, (2016)