TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. - Martín Abadi; Ashish Agarwal; Paul Barham 001; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; et al. (CoRR, 2016)

Concrete Problems in AI Safety. - Dario Amodei; Chris Olah; Jacob Steinhardt; Paul F. Christiano; John Schulman; Dan Mané (CoRR, 2016)

Adversarial Patch. - Tom B. Brown; Dandelion Mané; Aurko Roy; Martín Abadi; Justin Gilmer (CoRR, 2017)

AutoAugment: Learning Augmentation Policies from Data. - Ekin Dogus Cubuk; Barret Zoph; Dandelion Mané; Vijay Vasudevan; Quoc V. Le (CoRR, 2018)

Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow. - Kanit Wongsuphasawat; Daniel Smilkov; James Wexler; Jimbo Wilson; Dandelion Mané; Doug Fritz; Dilip Krishnan; Fernanda B. Viégas; Martin Wattenberg (IEEE Trans. Vis. Comput. Graph., 2018)

AutoAugment: Learning Augmentation Strategies From Data. - Ekin D. Cubuk; Barret Zoph; Dandelion Mané; Vijay Vasudevan; Quoc V. Le (CVPR, 2019)