MLRC 2026

Welcome to the home of ML Reproducibility Challenge. This is an annual event promoting research into reproducibility of Machine Learning literature. (v1, v2, v3, v4, v5, v6, v7, v8). This conference is a unique venue in the Machine Learning community to share, disseminate and discuss reproducible methods and tools, investigate reproducibility of papers accepted for publication at top conferences, and test generalizability of scientific findings by adding novel insights and empirical results.

Venue

We are excited to announce that MLRC 2026 will be an official track at NeurIPS 2026! This marks the first time MLRC is integrated as a dedicated track within NeurIPS. Accepted papers will be presented at NeurIPS 2026 in Sydney, Australia, December 6–13, 2026. As a track within NeurIPS, MLRC is a complementary venue to the Main Track and the Evaluations & Datasets Track.

Important Dates

• Submit to TMLR OpenReview: openreview.net/group?id=TMLR
• Earliest date for consideration: June 21, 2025 00:00 AOE
• Deadline to share your intent to submit a TMLR paper to MLRC: June 4, 2026 23:59 AOE — submit here
• Deadline to have your TMLR decisions in our system: September 30, 2026 AOE
• Announcement of accepted papers / author notifications: October 7, 2026
• NeurIPS 2026: December 6–13, 2026, Sydney, Australia

Organizers

• Koustuv Sinha, Meta
• Jessica Forde, Brown University
• Ana Lucic, University of Amsterdam
• Fernando Pascoal Dos Santos, University of Amsterdam
• Candace Ross, Meta
• Adina Williams, Meta
• Naila Murray, Meta
• Joelle Pineau, McGill University / Mila / Cohere

Contact

• For queries related to the conference, or sponsorship requests, please contact us at reproducibility-chairs@neurips.cc
• Follow us on Social media for updates: Twitter (@repro_challenge), BlueSky (@reproml.org)