Guest Editorial: Automated Machine Learning

被引：7

作者：

Escalante, Hugo Jair ^{[1
]}

Yao, Quanming ^{[2
]}

Tu, Wei-Wei ^{[3
]}

Pillay, Nelishia ^{[4
]}

Qu, Rong ^{[5
]}

Yu, Yang ^{[6
]}

Houlsby, Neil ^{[7
]}

机构：

[1] Inst Nacl Astrofis Opt & Eectron, Puebla 72840, Mexico

[2] 4Paradigm Inc, Beijing 100085, Peoples R China

[3] 4Paradigm Inc, Sci & Technol Dept, Beijing 100085, Peoples R China

[4] Univ Pretoria, ZA-0002 Pretoria, South Africa

[5] Univ Nottingham, Sch Comp Sci, Nottingham NG7 2RD, England

[6] Nanjing Univ, Sch Artificial Intelligence, Nanjing 210023, Peoples R China

[7] Google Res Brain Team, CH-8002 Zurich, Switzerland

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2021年 / 43卷 / 09期

关键词：

(Edited Abstract);

D O I：

10.1109/TPAMI.2021.3077106

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The special issue IEEE Transactions On Pattern Analysis And Machine Intelligence has a special section dedicated to AutoML. This special section is formed by 15 articles of outstanding quality that together comprise a snapshot of cutting edge AutoML research. The special section is a compilation of outstanding contributions on AutoML. The compilation is representative of the trends and recent progress in the field.

引用

页码：2887 / 2890

页数：4

共 26 条

[1] [Anonymous], ARXIV190412054
[2] Adaptation Strategies for Automated Machine Learning on Evolving Data
Celik, Bilge
Vanschoren, Joaquin
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (09) : 3067 - 3078
[3] Chu X, 2019, ARXIV PREPRINT ARXIV
[4] Elsken T., 2018, CoRR
[5] Escalante H. J., ARXIV200808516, V2021
[6] FNA plus plus : Fast Network Adaptation via Parameter Remapping and Architecture Search
Fang, Jiemin
Sun, Yuzhu
Zhang, Qian
Peng, Kangjian
Li, Yuan
Liu, Wenyu
Wang, Xinggang
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (09) : 2990 - 3004
[7] Hutter F, 2019, SPRING SER CHALLENGE, P1, DOI 10.1007/978-3-030-05318-5
[8] Liu H., 2019, P INT C LEARN REPR N, P1
[9] Liu Z., 2019, P AUT DAT SCI WORKSH
[10] Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019
Liu, Zhengying
Pavao, Adrien
Xu, Zhen
Escalera, Sergio
Ferreira, Fabio
Guyon, Isabelle
Hong, Sirui
Hutter, Frank
Ji, Rongrong
Jacques, Julio C. S., Jr.
Li, Ge
Lindauer, Marius
Luo, Zhipeng
Madadi, Meysam
Nierhoff, Thomas
Niu, Kangning
Pan, Chunguang
Stoll, Danny
Treguer, Sebastien
Wang, Jin
Wang, Peng
Wu, Chenglin
Xiong, Youcheng
Zela, Arber
Zhang, Yang
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (09) : 3108 - 3125

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