Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM)
Pages 651 - 652
Abstract
The DEEM'24 workshop (Data Management for End-to-End Machine Learning) is held on Sunday June 9th, in conjunction with SIGMOD/PODS 2024. DEEM brings together researchers and practitioners at the intersection of applied machine learning, data management and systems research, with the goal to discuss the arising data management issues in ML application scenarios. The workshop solicits regular research papers (8 pages) describing preliminary and ongoing research results, including industrial experience reports of end-to-end ML deployments, related to DEEM topics. In addition, DEEM 2023 has a category for short papers (4 pages) as a forum for sharing interesting use cases, problems, datasets, benchmarks, visionary ideas, system designs, preliminary results, and descriptions of system components and tools related to end-to-end ML pipelines. This year, the workshop received 16 high-quality submissions on diverse topics relevant to DEEM, of which 8 regular papers and 8 short papers.
References
[1]
Matthias Boehm, Madelon Hulsebos, Shreya Shankar, and Paroma Varma (Eds.). 2023. Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning (Seattle, WA, USA). Association for Computing Machinery, New York, NY, USA. http://deem-workshop.github.io/2023/index.html.
[2]
Matthias Boehm, Julia Stoyanovich, and Steven Whang (Eds.). 2021. Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2021 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2021, Virtual Event, China, 20 June, 2021. ACM. https://doi.org/10.1145/3462462 http://deem-workshop.github.io/2021/index.html.
[3]
Matthias Boehm, Paroma Varma, and Doris Xin. 2022. DEEM'22: Data Management for End-to-End Machine Learning. In Proceedings of the 2022 International Conference on Management of Data (Philadelphia, PA, USA) (SIGMOD '22). Association for Computing Machinery, New York, NY, USA, 2548--2549. https://doi.org/10.1145/3514221.3524075
[4]
Sebastian Schelter, Neoklis Polyzotis, Stephan Seufert, and Manasi Vartak (Eds.). 2019. Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, DEEM@SIGMOD 2019, Amsterdam, The Netherlands, June 30, 2019. ACM. https://doi.org/10.1145/3329486 http://deem-workshop.github.io/2019/index.html.
[5]
Sebastian Schelter, Stephan Seufert, and Arun Kumar (Eds.). 2018. Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, DEEM@SIGMOD 2018, Houston, TX, USA, June 15, 2018. ACM. http://dl.acm.org/citation.cfm?id=3209889 http://deem-workshop.github.io/2018/index.html.
[6]
Sebastian Schelter, Steven Whang, and Julia Stoyanovich (Eds.). 2020. Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2020 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2020, Portland, OR, USA, June 14, 2020. ACM. https://doi.org/10.1145/3399579 http://deem-workshop.github.io/2020/index.html.
[7]
Sebastian Schelter and Reza Zadeh (Eds.). 2017. Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, DEEM@SIGMOD 2017, Chicago, IL, USA, May 14, 2017. ACM. https://doi.org/10.1145/3076246 http://deem-workshop.github.io/2017/index.html.
Index Terms
- Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM)
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Information
Published In
June 2024
694 pages
ISBN:9798400704222
DOI:10.1145/3626246
- General Chairs:
- Pablo Barcelo,
- Nayat Sanchez-Pi,
- Program Chairs:
- Alexandra Meliou,
- S. Sudarshan
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Association for Computing Machinery
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Published: 09 June 2024
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