Wilds

홈페이지 · 논문 179편

Builds on top of recent data collection efforts by domain experts in these applications and provides a unified collection of datasets with evaluation metrics and train/test splits that are representative of real-world distribution shifts. The v2.0 update adds unlabeled data to 8 datasets. The labeled data and evaluation metrics are exactly the same, so all previous results are directly comparable. Source: [WILDS: A Benchmark of in-the-Wild Distribution Shifts](/paper/wilds-a-benchmark-of-in-the-wild-distribution)