The Fifth International Workshop on Automation in Machine Learning
Authors: 
Tao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai LiAuthors Info & Claims
Tao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai LiAuthors Info & ClaimsPages 4163 - 4164
Abstract
The Fifth International Workshop on Automation in Machine Learning aims to identify opportunities and challenges for automation in machine learning, to provide an opportunity for researchers to discuss best practices for automation in machine learning potentially leading to definition of standards, and to provide a forum for researchers to speak out and debate on different ideas in automation in machine learning. The workshop agenda includes four invited keynote speakers and four accepted paper presentations chosen from a peer review process. A panel discussion will close out the workshop to allow for an engaging and interactive exchange of thoughts and ideas on AutoML.
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- The Fifth International Workshop on Automation in Machine Learning
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The Sixth International Workshop on Automation in Machine Learning
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningThe Sixth International Workshop on Automation in Machine Learning aims to identify opportunities and challenges for automation in machine learning, to provide an opportunity for researchers to discuss best practices for automation in machine learning ...
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Information & Contributors
Information
Published In
August 2021
4259 pages
ISBN:9781450383325
DOI:10.1145/3447548
- General Chairs:
- Feida Zhu,
- Beng Chin Ooi,
- Chunyan Miao,
- Program Chairs:
- Haixun Wang,
- Iryna Skrypnyk,
- Wynne Hsu,
- Sanjay Chawla
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 14 August 2021
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- Abstract
Conference
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
August 14 - 18, 2021
Virtual Event, Singapore
Acceptance Rates
Overall Acceptance Rate 1,133 of 8,635 submissions, 13%
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