Training Set Debugging


An image classification task, where submitters decide in which order they would clean a noisy training set.

If trained over these noisy datasets, ML models might suffer not only from lower quality, but also potential risks on other quality dimensions such as fairness. Careful data cleaning can often accommodate this, however, it can be a very expensive process if we need to investigate and clean all examples. 

Task Owners

Xiaozhe Yao