AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale - researchr publication authors

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Nicholas Roberts, Samuel Guo, Cong Xu, Ameet Talwalkar, David Lander, Lvfang Tao, Linhang Cai, Shuaicheng Niu, Jianyu Heng, Hongyang Qin, Minwen Deng, Johannes Hog, Alexander Pfefferle, Sushil Ammanaghatta Shivakumar, Arjun Krishnakumar, Yubo Wang, Rhea Sukthanker, Frank Hutter, Euxhen Hasanaj, Tien-Dung Le, Mikhail Khodak, Yuriy Nevmyvaka, Kashif Rasul, Frederic Sala, Anderson Schneider, Junhong Shen, Evan R. Sparks. AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. In Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht, editors, NeurIPS 2022 Competition Track, November 28 - December 9, 2022, Online. Volume 220 of Proceedings of Machine Learning Research, pages 151-170, PMLR, 2021. [doi]

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