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Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019., , , , , , , , , and 15 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 43 (9): 3108-3125 (2021)Towards automated computer vision: analysis of the AutoCV challenges 2019., , , , , , , , and . Pattern Recognit. Lett., (2020)Advances in MetaDL: AAAI 2021 Challenge and Workshop., , , , , and . MetaDL@AAAI, volume 140 of Proceedings of Machine Learning Research, page 1-16. PMLR, (2021)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019., , , , , , , , , and 15 other author(s). CoRR, (2022)Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019., , , , , , , , , and . NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 242-252. PMLR, (2019)A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention., , , , , , , , , and 3 other author(s). AutoML@ICML, volume 64 of JMLR Workshop and Conference Proceedings, page 21-30. JMLR.org, (2016)Advances in MetaDL: AAAI 2021 challenge and workshop., , , , , and . CoRR, (2022)Challenge design roadmap., , , , and . CoRR, (2024)Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge., , , , , , , , , and 3 other author(s). CoRR, (2023)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). HAL, (September 2020)