168 citations · 503 across the 25 of their papers we have counts for
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cs.LG2020★ 3 cited
The Penalty Imposed by Ablated Data Augmentation
Frederick Liu, Amir Najmi, Mukund 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. We term these techniques ablated d…
cs.LG2020★ 121 cited
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi, Frederick Liu, Mukund Sundararajan +1
We introduce a method called TracIn that computes the influence of a training example on a prediction made by the model. The idea is to trace how the loss on the test point changes…