Deep Learning Provenance Data Integration: a Practical Approach-Reference-Cited by-同舟云学术

Deep Learning Provenance Data Integration: a Practical Approach

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
language:
Short-container-title:

Author:

Pina Débora¹^ORCID,Chapman Adriane²^ORCID,De Oliveira Daniel³^ORCID,Mattoso Marta¹^ORCID

Affiliation:

1. Federal University of Rio de Janeiro (UFRJ), Brazil

2. University of Southampton, United Kingdom

3. Fluminense Federal University (UFF), Brazil

Funder

EPSRC

CNPq

FAPERJ

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587561

Reference19 articles.

1. Data Management in Machine Learning Systems

2. Capturing and querying fine-grained provenance of preprocessing pipelines in data science

3. Automated end-to-end management of the modeling lifecycle in deep learning

4. Stefan Grafberger, Julia Stoyanovich, and Sebastian Schelter. 2021. Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines. In 11th Conference on Innovative Data Systems Research, CIDR 2021, Virtual Event, January 11-15, 2021, Online Proceedings. www.cidrdb.org. http://cidrdb.org/cidr2021/papers/cidr2021_paper27.pdf

5. Arun Kumar, Supun Nakandala, Yuhao Zhang, Side Li, Advitya Gemawat, and Kabir Nagrecha. 2021. Cerebro: A Layered Data Platform for Scalable Deep Learning. In 11th Conference on Innovative Data Systems Research, CIDR 2021, Virtual Event, January 11-15, 2021, Online Proceedings. www.cidrdb.org. http://cidrdb.org/cidr2021/papers/cidr2021_paper25.pdf

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DLProv: A Data-Centric Support for Deep Learning Workflow Analyses;Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning;2024-06-09

2. Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance;ACM Transactions on Database Systems;2024-04-10

3. Provenance-Based Dynamic Fine-Tuning of Cross-Silo Federated Learning;Communications in Computer and Information Science;2024

4. PINNProv: Provenance for Physics-Informed Neural Networks;2023 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW);2023-10-17