2020

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. Dan Hendrycks, Steven Basart*, Norman Mu*, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer. ICML Workshop on Uncertainty and Robustness in Deep Learning 2020. [paper] [code]

Applying Text Analytics to the Mind-section Literature of the Tibetan Tradition of the Great Perfection. Ravi Krishna, Norman Mu, Kurt Keutzer. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 2020. [paper]

2019

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty. Dan Hendrycks*, Norman Mu*, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshinarayanan. ICLR 2020. [paper] [code]

MNIST-C: A Robustness Benchmark for Computer Vision. Norman Mu, Justin Gilmer. ICML Workshop on Uncertainty and Robustness in Deep Learning 2019. [paper] [code]

2018

Parameter Re-Initialization through Cyclical Batch Size Schedules. Norman Mu*, Zhewei Yao*, Amir Gholami, Kurt Keutzer, Michael W. Mahoney. NeurIPS Workshop on Systems for Machine Learning 2018. [paper]