How I stopped worrying about training data bugs and started complaining-Reference-Cited by-同舟云学术

How I stopped worrying about training data bugs and started complaining

Published:2022-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning
language:
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Author:

Flokas Lampros¹,Wu Weiyuan²,Wang Jiannan²,Verma Nakul¹,Wu Eugene¹

Affiliation:

1. Columbia University

2. Simon Fraser University, Burnaby, BC, Canada

Funder

Amazon Web Services

NSF (National Science Foundation)

Google

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3533028.3533305

Reference25 articles.

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2. Anna Fariha Suman Nath and Alexandra Meliou. 2020. Causality-Guided Adaptive Interventional Debugging. In SIGMOD. Anna Fariha Suman Nath and Alexandra Meliou. 2020. Causality-Guided Adaptive Interventional Debugging. In SIGMOD.

3. Lampros Flokas Weiyuan Wu Yejia Liu Jiannan Wang Nakul Verma and Eugene Wu. 2022. Complaint-Driven Training Data Debugging at Interactive Speeds. In SIGMOD. Lampros Flokas Weiyuan Wu Yejia Liu Jiannan Wang Nakul Verma and Eugene Wu. 2022. Complaint-Driven Training Data Debugging at Interactive Speeds. In SIGMOD.

4. Sainyam Galhotra , Anna Fariha , Raoni Lourenço , Juliana Freire , Alexandra Meliou , and Divesh Srivastava . 2021. DataExposer: Exposing Disconnect between Data and Systems. arxiv ( 2021 ). arXiv:2105.06058 Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, and Divesh Srivastava. 2021. DataExposer: Exposing Disconnect between Data and Systems. arxiv (2021). arXiv:2105.06058

5. J. Hermann and M. D. Balso . [n.d.] . Meet Michelangelo: Uber's machine learning platform. https://eng.uber.com/michelangelo. J. Hermann and M. D. Balso. [n.d.]. Meet Michelangelo: Uber's machine learning platform. https://eng.uber.com/michelangelo.