Welcome to the ML Reproducibility Challenge 2020! This is already the fourth edition of this event (see V1, V2, V3), and we are excited this year to announce that we are broadening our coverage of conferences and papers to cover several new top venues, including: NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR and ECCV.
The primary goal of this event is to encourage the publishing and sharing of scientific results that are reliable and reproducible. In support of this, the objective of this challenge is to investigate reproducibility of papers accepted for publication at top conferences by inviting members of the community at large to select a paper, and verify the empirical results and claims in the paper by reproducing the computational experiments, either via a new implementation or using code/data or other information provided by the authors.
All submitted reports will be peer reviewed and shown next to the original papers on Papers with Code. Reports will be peer-reviewed via OpenReview. Every year, a small number of these reports, selected for their clarity, thoroughness, correctness and insights, are selected for publication in a special edition of the journal ReScience. (see J1, J2).
The challenge is a great event for community members to participate in shaping scientific practices and findings in our field. We particularly encourage participation from: