Enabling On-Device Smartphone GPU based Training: Lessons Learned

Enabling On-Device Smartphone GPU based Training: Lessons Learned

21 February 2022

Jagmohan Chauhan

Cecilia Mascolo

Papers citing "Enabling On-Device Smartphone GPU based Training: Lessons Learned"

14 / 14 papers shown

Title
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications Young D. Kwon Jagmohan Chauhan Abhishek Kumar Pan Hui Cecilia Mascolo CLL HAI 47 33 0 25 Oct 2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications Young D. Kwon Jagmohan Chauhan Cecilia Mascolo HAI 54 16 0 14 Jun 2021
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks S. S. Rodríguez Cecilia Mascolo Young D. Kwon CLL 26 12 0 06 Jun 2021
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks Julieta Martinez Jashan Shewakramani Ting Liu Ioan Andrei Bârsan Wenyuan Zeng R. Urtasun MQ 61 30 0 29 Oct 2020
MNN: A Universal and Efficient Inference Engine Xiaotang Jiang Huan Wang Yiliu Chen Ziqi Wu Lichuan Wang ... Zongyang Cui Yuezhi Cai Tianhang Yu Chengfei Lv Zhihua Wu 72 154 0 27 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 449 42,393 0 03 Dec 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 88 1,440 0 24 May 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 50 101 0 24 Apr 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
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 57 438 0 10 Apr 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 178 19,271 0 13 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 150 3,121 0 15 Dec 2017
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
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

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