A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. - Isabelle Guyon; Imad Chaabane; Hugo Jair Escalante; Sergio Escalera; Damir Jajetic; James Robert Lloyd; Núria Macià; Bisakha Ray; Lukasz Romaszko; Michèle Sebag; Alexander R. Statnikov; Sébastien Treguer; et al. (AutoML@ICML, 2016)

Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. - Zhengying Liu; Zhen Xu 007; Shangeth Rajaa; Meysam Madadi; Júlio C. S. Jacques Júnior; Sergio Escalera; Adrien Pavao; Sébastien Treguer; Wei-Wei Tu; Isabelle Guyon (NeurIPS (Competition and Demos), 2019)

Towards automated computer vision: analysis of the AutoCV challenges 2019. - Zhengying Liu; Zhen Xu 007; Sergio Escalera; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Adrien Pavao; Sébastien Treguer; Wei-Wei Tu (Pattern Recognit. Lett., 2020)

Advances in MetaDL: AAAI 2021 Challenge and Workshop. - Adrian El Baz; Isabelle Guyon; Zhengying Liu; Jan N. van Rijn; Sébastien Treguer; Joaquin Vanschoren (MetaDL@AAAI, 2021)

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. - Zhengying Liu; Adrien Pavao; Zhen Xu 007; Sergio Escalera; Fabio Ferreira; Isabelle Guyon; Sirui Hong; Frank Hutter; Rongrong Ji; Júlio C. S. Jacques Júnior; Ge Li; Marius Lindauer; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge. - Yvenn Amara-Ouali; Yannig Goude; Nathan Doumèche; Pascal Veyret; Alexis Thomas; Daniel Hebenstreit; Thomas Wedenig; Arthur Satouf; Aymeric Jan; Yannick Deleuze; Paul Berhaut; Sébastien Treguer; et al. (CoRR, 2023)

Challenge design roadmap. - Hugo Jair Escalante Balderas; Isabelle Guyon; Addison Howard; Walter Reade; Sébastien Treguer (CoRR, 2024)