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SLIP: Self-supervision meets Language-Image Pre-training


Dec 23, 2021
Norman Mu, Alexander Kirillov, David Wagner, Saining Xie

* Code: https://github.com/facebookresearch/SLIP 

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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization


Jun 29, 2020
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

* Datasets, code, and models available at https://github.com/hendrycks/imagenet-r 

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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty


Dec 05, 2019
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan

* Code available at https://github.com/google-research/augmix 

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MNIST-C: A Robustness Benchmark for Computer Vision


Jun 05, 2019
Norman Mu, Justin Gilmer


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Parameter Re-Initialization through Cyclical Batch Size Schedules


Dec 04, 2018
Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael Mahoney

* Presented in Systems for Machine Learning Workshop at NeurIPS'18 conference 

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