第七届端到端机器学习数据管理研讨会

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, P. Varma
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引用次数: 0

摘要

DEEM’23研讨会(端到端机器学习的数据管理)将于6月18日星期日与SIGMOD/PODS 2023一起举行。DEEM汇集了应用机器学习、数据管理和系统研究领域的研究人员和实践者,旨在讨论机器学习应用场景中出现的数据管理问题。研讨会定期征集研究论文(10页),描述初步和正在进行的研究成果,包括与DEEM主题相关的端到端机器学习部署的工业经验报告。此外,DEEM 2023还有一个短论文类别(4页),作为分享有趣的用例、问题、数据集、基准、有远见的想法、系统设计、初步结果以及与端到端机器学习管道相关的系统组件和工具的描述的论坛。研讨会收到了13份高质量的论文,涉及与DEEM相关的不同主题,其中6份是常规论文,7份是短篇论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)
The DEEM'23 workshop (Data Management for End-to-End Machine Learning) is held on Sunday June 18th, in conjunction with SIGMOD/PODS 2023. 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 (10 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. The workshop received 13 high-quality submissions on diverse topics relevant to DEEM, of which 6 regular papers and 7 short papers.
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