Towards Reproducible Machine Learning Research in Information Retrieval-Reference-Cited by-同舟云学术

Towards Reproducible Machine Learning Research in Information Retrieval

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Lucic Ana¹,Bleeker Maurits¹,de Rijke Maarten¹,Sinha Koustuv²,Jullien Sami¹,Stojnic Robert³

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

2. McGill University, Montreal, Canada

3. Facebook AI Research, London, United Kingdom

Funder

Ahold Delhaize

Netherlands Organisation for Scientific Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3532686

Reference36 articles.

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4. Alina Beygelzimer Yann Dauphin Percy Liang and Jennifer Wortman- Vaughan. 2021. Introducing the NeurIPS 2021 Paper Checklist. https://neuripsconf.medium.com/introducing-the-neurips-2021-paperchecklist. Alina Beygelzimer Yann Dauphin Percy Liang and Jennifer Wortman- Vaughan. 2021. Introducing the NeurIPS 2021 Paper Checklist. https://neuripsconf.medium.com/introducing-the-neurips-2021-paperchecklist.

5. Xavier Bouthillier , César Laurent , and Pascal Vincent . 2019 . Unreproducible research is reproducible . In International Conference on Machine Learning. PMLR, 725--734 . Xavier Bouthillier, César Laurent, and Pascal Vincent. 2019. Unreproducible research is reproducible. In International Conference on Machine Learning. PMLR, 725--734.

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