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The official deadline for the challenge has been extended to July 20th!
The spring edition of the Papers with Code reproducibility challenge is an extension to the challenge that started in 2020. If you'd like to reproduce papers from 2021 conferences please send an email to reproduce@dagshub.com.
This page is inspired by the support from W&B for the reproducibility challenge. All compensation below is in addition to the compensation they offer, so you can use both DAGsHub and W&B for this challenge.
Machine learning reproducibility is what originally got us started with DAGsHub, and we care deeply about promoting it. When research is reproducible, everyone benefits – that is why the Papers with Code reproducibility challenge is such an important and positive effort. We're excited to support participants taking on this challenge, with the hope that it will encourage more teams to participate and move the field forward.
By supporting efforts to make all papers from NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, and ECCV reproducible, in a verifiable and reliable way, by having the code, data, models, and experiments tracked in DAGsHub.
We've created a channel on our Discord Community, especially for this challenge.
To incentivize community members to spend their time on this challenge, and since many papers require expensive compute resources to reproduce, we're offering participants $500 per paper reproduced, as long as it meets the guidelines.
See Reproducibility Challenge for more details.
See Reproducibility Challenge for more details.
We will award every participant who meets the above-listed guidelines $500 towards computing costs. Exact details regarding the form and method of compensation will be communicated with eligible participants.
DAGsHub is the GitHub for machine learning. A place where data scientists can work in teams and host their project components – code, data, models, experiments, and pipelines under one roof. Utilizing DAGsHub's capabilities enables us to reproduce results easily.
DAGsHub lets you:
Our team is waiting to assist you in any way needed. Good luck!
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