Adaptive Scheduling for Edge-Assisted DNN Serving

Adaptive Scheduling for Edge-Assisted DNN Serving

19 April 2023

Papers citing "Adaptive Scheduling for Edge-Assisted DNN Serving"

15 / 15 papers shown

Title
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference Yujeong Choi Yunseong Kim Minsoo Rhu 44 66 0 25 Oct 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up A. Gujarati Reza Karimi Safya Alzayat Wei Hao Antoine Kaufmann Ymir Vigfusson Jonathan Mace 82 277 0 03 Jun 2020
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation Hao Wu Patrick Judd Xiaojie Zhang Mikhail Isaev Paulius Micikevicius MQ 79 356 0 20 Apr 2020
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models Chen-Da Liu-Zhang Xin-Xin Liu Jianxin Wu HAI 22 9 0 17 Jun 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 171 4,983 0 30 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 430 13,121 0 07 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 173 19,262 0 13 Jan 2018
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 134 6,865 0 04 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,832 0 17 Apr 2017
Towards Accurate Multi-person Pose Estimation in the Wild George Papandreou Tyler Lixuan Zhu Nori Kanazawa Alexander Toshev Jonathan Tompson C. Bregler Kevin Patrick Murphy 3DH 136 806 0 06 Jan 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 255 3,079 0 06 Dec 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 429 18,346 0 27 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 139 7,477 0 24 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 253 8,832 0 01 Oct 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 447 43,635 0 17 Sep 2014