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AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.
N. Roberts, S. Guo, C. Xu, A. Talwalkar, D. Lander, L. Tao, L. Cai, S. Niu, J. Heng, H. Qin, M. Deng, J. Hog, A. Pfefferle, S. Shivakumar, A. Krishnakumar, Y. Wang, R. Sukthanker, F. Hutter, E. Hasanaj, T. Le, M. Khodak, Y. Nevmyvaka, K. Rasul, F. Sala, A. Schneider, J. Shen, und E. Sparks.NeurIPS (Competition and Demos), Volume 220 von Proceedings of Machine Learning Research, Seite 151-170. PMLR, (2021)
Metadaten
- BibTeX-Schlüssel
- conf/nips/RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21
- Eintragstyp
- inproceedings
- Buchtitel
- NeurIPS (Competition and Demos)
- Jahr
- 2021
- Seiten
- 151-170
- Verlag
- PMLR
- Reihe
- Proceedings of Machine Learning Research
- Band
- 220
- BibTeX-Querverweis
- conf/nips/2022demo
- ee
- https://proceedings.mlr.press/v220/roberts22a.html
- URL
- http://dblp.uni-trier.de/db/conf/nips/demo2022.html#RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21
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%1 conf/nips/RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21
%A Roberts, Nicholas
%A Guo, Samuel
%A Xu, Cong
%A Talwalkar, Ameet
%A Lander, David
%A Tao, Lvfang
%A Cai, Linhang
%A Niu, Shuaicheng
%A Heng, Jianyu
%A Qin, Hongyang
%A Deng, Minwen
%A Hog, Johannes
%A Pfefferle, Alexander
%A Shivakumar, Sushil Ammanaghatta
%A Krishnakumar, Arjun
%A Wang, Yubo
%A Sukthanker, Rhea
%A Hutter, Frank
%A Hasanaj, Euxhen
%A Le, Tien-Dung
%A Khodak, Mikhail
%A Nevmyvaka, Yuriy
%A Rasul, Kashif
%A Sala, Frederic
%A Schneider, Anderson
%A Shen, Junhong
%A Sparks, Evan Randall
%B NeurIPS (Competition and Demos)
%D 2021
%E Ciccone, Marco
%E Stolovitzky, Gustavo
%E Albrecht, Jacob
%I PMLR
%K dblp
%P 151-170
%T AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.
%U http://dblp.uni-trier.de/db/conf/nips/demo2022.html#RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21
%V 220
@inproceedings{conf/nips/RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21,
added-at = {2024-07-29T00:00:00.000+0200},
author = {Roberts, Nicholas and Guo, Samuel and Xu, Cong and Talwalkar, Ameet and Lander, David and Tao, Lvfang and Cai, Linhang and Niu, Shuaicheng and Heng, Jianyu and Qin, Hongyang and Deng, Minwen and Hog, Johannes and Pfefferle, Alexander and Shivakumar, Sushil Ammanaghatta and Krishnakumar, Arjun and Wang, Yubo and Sukthanker, Rhea and Hutter, Frank and Hasanaj, Euxhen and Le, Tien-Dung and Khodak, Mikhail and Nevmyvaka, Yuriy and Rasul, Kashif and Sala, Frederic and Schneider, Anderson and Shen, Junhong and Sparks, Evan Randall},
biburl = {https://www.bibsonomy.org/bibtex/2ff8661ba9ecf6b6a78ecbeacf50e81bf/dblp},
booktitle = {NeurIPS (Competition and Demos)},
crossref = {conf/nips/2022demo},
editor = {Ciccone, Marco and Stolovitzky, Gustavo and Albrecht, Jacob},
ee = {https://proceedings.mlr.press/v220/roberts22a.html},
interhash = {6c85ae67a59b02b22d52e6ae4ac71971},
intrahash = {ff8661ba9ecf6b6a78ecbeacf50e81bf},
keywords = {dblp},
pages = {151-170},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-08-05T07:44:04.000+0200},
title = {AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.},
url = {http://dblp.uni-trier.de/db/conf/nips/demo2022.html#RobertsGXTLTCNHQDHPSKWSHHLKNRSSSS21},
volume = 220,
year = 2021
}