AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. - Nicholas Roberts; Samuel Guo; Cong Xu; Ameet Talwalkar; David Lander; Lvfang Tao; Linhang Cai; Shuaicheng Niu; Jianyu Heng; Hongyang Qin; Minwen Deng; Johannes Hog; et al. (NeurIPS (Competition and Demos), 2021)

Warmstarting for Scaling Language Models. - Neeratyoy Mallik; Maciej Janowski; Johannes Hog; Herilalaina Rakotoarison; Aaron Klein; Josif Grabocka; Frank Hutter (CoRR, 2024)

Meta-learning Population-based Methods for Reinforcement Learning. - Johannes Hog; Raghu Rajan; André Biedenkapp; Noor H. Awad; Frank Hutter; Vu Nguyen (Trans. Mach. Learn. Res., 2025)