The Penalty Imposed by Ablated Data Augmentation

8 Jun 2020Frederick LiuAmir NajmiMukund Sundararajan

There is a set of data augmentation techniques that ablate parts of the input at random. These include input dropout, cutout, and random erasing... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper