Reproducibility initiative at the Conference on Systems and Machine Learning 2020

[ Back to the conference website ]

Important dates

Paper decision: January 3, 2019
Artifact submission: January 15, 2019
Artifact decision: February 10, 2020
Camera-ready paper: February 17, 2020
Conference: March 2-4, 2020
Reproducibility discussion session: TBA

Reproducibility chairs

Reproducibility committee



Following the successful introduction of the artifact evaluation process at SysML'19 we will continue the reproducibility initiative at the Conference on Systems and Machine Learning 2020.

The Conference on Systems and Machine Learning promotes reproducibility of experimental results and encourages code and data sharing to help the community quickly validate and compare alternative approaches. Authors of accepted papers are invited to formally describe supporting materials (code, data, models, workflows, results) using the standard Artifact Appendix template and submit it to the Artifact Evaluation process (AE).

Note that this submission is voluntary and will not influence the final decision regarding the papers. The point is to help authors validate experimental results from their accepted papers by an independent AE Committee in a collaborative way, and to help readers find articles with available, functional, and validated artifacts! For example, ACM Digital Library already allows one to find papers with available artifacts and reproducible results!

Artifact submission

You need to prepare your artifacts and appendix using the following guidelines. You can then submit your paper with artifact appendix via dedicated AE website before January 15, 2020. Your submission will be then reviewed according to the following guidelines. Please, do not forget to provide a list of hardware, software, benchmark and data set dependencies in your artifact abstract - this is essential to find appropriate evaluators!

AE is run by a separate committee whose task is to assess how submitted artifacts support the work described in accepted papers based on the standard ACM Artifact Review and Badging policy. Depending on evaluation results, camera-ready papers will include the artifact appendix and a set of ACM stamps of approval printed on their first page:

artifact available
artifact evaluated (functional)
artifact evaluated (reusable)
results replicated

At the end of the process we will inform you about how to add badges to your camera-ready paper.

Public discussion

We plan to organize a public discussion about how to improve the reproducibility of experimental results and reusability of research components at the Conference on Systems and Machine Learning 2020 - please stay tuned for more details.

Questions and feedback

Please check AE FAQs and feel free to ask questions or provide your feedback and suggestions via the dedicated AE discussion group.