At W&B, we strongly believe that research should be reproducible and accessible, so we’re excited to support people participating in the PaperswithCode Reproducibility Challenge. We believe this initiative is very important, and we’re happy to do what we can to support participants.

Specifically, we're looking to support efforts to make sure that every NeurIPS, ACL, CVPR, ECCV, ICLR, ICML, and EMLNLP paper is reproducible and that the claims made are verifiable by tracking the model performance and predictions in W&B.

If you'd like to help us achieve that, please join the #ml-reproducibility channel in our Slack community, where we coordinate these efforts.

We realize that some of these papers are computationally expensive to reproduce, and we're happy to offer participants $500 per paper reproduced, as long as it meets these guidelines.