Introduction If you were to study some of the competition-winning solutions on Kaggle, you might notice references to “adversarial validation” (like this one). What is it?
In short, we build a classifier to try to predict which data rows are from the training set, and which are from the test set.
Announcement: I have created a new place for ML peers to connect and discuss technical topics. Please join us on Discord if you'd like to connect–it's free.
Introduction If you were to study some of the competition-winning solutions on Kaggle, you might notice references to “adversarial validation” (like this one).
Announcement: I have created a new place for ML peers to connect and discuss technical topics. Please join us on Discord if you'd like to connect–it's free.
Introduction If you were to study some of the competition-winning solutions on Kaggle, you might notice references to “adversarial validation” (like this one).
Introduction The purpose of this article series is to provide an overview of GAN research and explain the nature of the contributions. I’m new to this area myself, so this will surely be incomplete, but hopefully it can provide some quick context to other newbies.