1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
Jie Liu, Jiawen Liu, Zhen Xie +1
How to accurately and efficiently label data on a mobile device is critical for the success of training machine learning models on mobile devices. Auto-labeling data on mobile devi…
cs.LG2019
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices
Jie Liu, Jiawen Liu, Wan Du +1
Training deep learning models on mobile devices recently becomes possible, because of increasing computation power on mobile hardware and the advantages of enabling high user exper…
cs.DC2018
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training
Jiawen Liu, Dong Li, Gokcen Kestor +1
Training neural network often uses a machine learning framework such as TensorFlow and Caffe2. These frameworks employ a dataflow model where the NN training is modeled as a direct…