Torsten Hoefler:
	Twelve ways to fool the masses when reporting performance of deep learning workloads (Presentation - presented in Los Angeles, CA, Nov. 2018, Workshop III: HPC for Computationally and Data-Intensive Problems ) Documents download slides:
	BibTeX
@misc{hoefler-twelve-ways,   author={Torsten Hoefler},   title={{Twelve ways to fool the masses when reporting performance of deep learning workloads}},   year={2018},   month={Nov.},   location={Los Angeles, CA},   note={Workshop III: HPC for Computationally and Data-Intensive Problems},   source={http://www.unixer.de/~htor/publications/}, }