2022
Extending the WILDS Benchmark for Unsupervised Adaptation
ICLR 2022oral
Machine learning systems deployed in the wild are often trained on a source distribution but deployed on a different target distribution. Unlabeled data can be a powerful point of leverage for mitigating these distribution shifts, as it is frequently much more available than labeled data and can oft…