Fault Tolerance in Iterative-Convergent Machine Learning

no code implementations • 17 Oct 2018 • Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing

In this paper, we develop a general framework to quantify the effects of calculation errors on iterative-convergent algorithms and use this framework to design new strategies for checkpoint-based fault tolerance.

BIG-bench Machine Learning

A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA

no code implementations • 15 Mar 2017 • Kai Zhen, Mridul Birla, David Crandall, Bingjing Zhang, Judy Qiu

Given the progress in image recognition with recent data driven paradigms, it's still expensive to manually label a large training data to fit a convolutional neural network (CNN) model.