TASMAL: Theories and Algorithms for Sustainable MAchine Learning

The TASMAL Challenge addresses various dimensions of sustainability of machine learning, such as resource-efficiency, model robustness, interpretability, and particularly reproducibility of computational results. The TASMAL Challenge seeks to develop new theories, algorithms, and statistical evaluation frameworks to increase the sustainability of machine learning models.