Tweeted By @ericjang11
Simply augmenting the data often yields bigger perf gains than tweaking the model.
— Eric Jang 🇺🇸🇹🇼 (@ericjang11) July 14, 2020
We formalize "meta-augmentation" and show that you can apply it to pretty much any meta-learning problem and any meta-learner.https://t.co/uQLvzlS6tX
with Janarthanan Rajendran, @AlexIrpan pic.twitter.com/2qIVNlhVAw