AutoML for Climate Change: A Call to Action. (arXiv:2210.03324v1 [cs.LG])

The challenge that climate change poses to humanity has spurred a rapidly
developing field of artificial intelligence research focused on climate change
applications. The climate change AI (CCAI) community works on a diverse,
challenging set of problems which often involve physics-constrained ML or
heterogeneous spatiotemporal data. It would be desirable to use automated
machine learning (AutoML) techniques to automatically find high-performing
architectures and hyperparameters for a given dataset. In this work, we
benchmark popular AutoML libraries on three high-leverage CCAI …

arxiv automl change climate climate change