1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions
Scott Mahan, Henry Kvinge, Tim Doster
Building invariance to non-meaningful transformations is essential to building efficient and generalizable machine learning models. In practice, the most common way to learn invari…
cs.CL2020★ 1 cited
Argumentative Topology: Finding Loop(holes) in Logic
Sarah Tymochko, Zachary New, Lucius Bynum +4
Advances in natural language processing have resulted in increased capabilities with respect to multiple tasks. One of the possible causes of the observed performance gains is the…