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, 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]

@inproceedings{RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21,
  title = {AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale},
  author = {Nicholas Roberts and Samuel Guo and Cong Xu and Ameet Talwalkar and David Lander and Lvfang Tao and Linhang Cai and Shuaicheng Niu and Jianyu Heng and Hongyang Qin and Minwen Deng and Johannes Hog and Alexander Pfefferle and Sushil Ammanaghatta Shivakumar and Arjun Krishnakumar and Yubo Wang and Rhea Sukthanker and Frank Hutter and Euxhen Hasanaj and Tien-Dung Le and Mikhail Khodak and Yuriy Nevmyvaka and Kashif Rasul and Frederic Sala and Anderson Schneider and Junhong Shen and Evan R. Sparks},
  year = {2021},
  url = {https://proceedings.mlr.press/v220/roberts22a.html},
  researchr = {https://researchr.org/publication/RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21},
  cites = {0},
  citedby = {0},
  pages = {151-170},
  booktitle = {NeurIPS 2022 Competition Track, November 28 - December 9, 2022, Online},
  editor = {Marco Ciccone and Gustavo Stolovitzky and Jacob Albrecht},
  volume = {220},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}