78 citations · 265 across the 23 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 2 cited
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
Junxiang Wang, Zheng Chai, Yue Cheng +1
Alternating minimization methods have recently been proposed as alternatives to the gradient descent for deep neural network optimization. Alternating minimization methods can typi…
cs.SI2020
Multi-instance Domain Adaptation for Vaccine Adverse Event Detection
Junxiang Wang, Liang Zhao
Detection of vaccine adverse events is crucial to the discovery and improvement of problematic vaccines. To achieve it, traditionally formal reporting systems like VAERS support ac…
math.OC2020★ 2 cited
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework
Junxiang Wang, Zheng Chai, Yue Cheng +1
Alternating Direction Method of Multipliers (ADMM) has recently been proposed as a potential alternative optimizer to the Stochastic Gradient Descent(SGD) for deep learning problem…