Publications

Problems and opportunities in training deep learning software systems: an analysis of variance

Published in ASE, 2020

This work is the first to study the variance of DL systems and the awareness of this variance among researchers and practitioners.

Recommended citation: Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan. (2020). "Problems and opportunities in training deep learning software systems: an analysis of variance." ASE. PDF

CRADLE: Cross-Backend Validation to Detect and Localize Bugs in Deep Learning Libraries

Published in ICSE, 2019

We propose CRADLE, a new approach that focuses on finding and localizing bugs in DL software libraries.

Recommended citation: Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan. (2019). "CRADLE: Cross-Backend Validation to Detect and Localize Bugs in Deep Learning Libraries." ICSE. PDF