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Metamodel specialization based DSL for DL lifecycle data management

Published: 26 October 2020 Publication History

Abstract

A new Domain Specific Language (DSL) based approach to Deep Learning (DL) lifecycle data management (LDM) is presented: a very simple but universal DL LDM tool, still usable in practice (called Core tool); and an advanced extension mechanism, that converts the Core tool into a DSL tool building framework for DL LDM tasks. The method used is based on the metamodel specialisation approach for DSL modeling tools introduced by authors.

References

[1]
Weights&Biases (Experiment tracking for deep learning), Homepage, https://www.wandb.com, last accessed 2020/01/31.
[2]
Kalnins, A., Barzdins. J. Metamodel Specialization for Graphical Modeling Language Support. 19th ACM/IEEE Conference MODELS'16, Proceedings, ACM, pp. 103--112, 2016.
[3]
Kalnins, A., Barzdins. J. Metamodel specialization for graphical language support. Software and System Modeling Journal. Vol. 18, Issue 3, pp. 1699--1735, June 2019.

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cover image ACM Conferences
MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
October 2020
713 pages
ISBN:9781450381352
DOI:10.1145/3417990
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2020

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  1. DL lifecycle data management
  2. DSL
  3. metamodel specialization

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MODELS '20
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