MLRC 2026 now accepting submissions as official NeurIPS track
The reproducibility challenge heads to Sydney this December for NeurIPS 2026.
The Machine Learning Reproducibility Challenge (MLRC) 2026 is now accepting submissions, and this year it achieves a major milestone: becoming an official track at NeurIPS 2026. Submissions will be handled through TMLR (Transactions on Machine Learning Research), and accepted papers will be eligible for presentation at NeurIPS in Sydney, Australia this December. This integration into the world's premier AI conference underscores the pressing need to address the reproducibility crisis in machine learning—where many published results are difficult or impossible to replicate. The challenge encourages researchers to systematically replicate prior work, produce new insights, and share reproducible pipelines.
The MLRC 2026 CFP provides detailed guidelines for submission, including expectations for code, data, and documentation. By linking directly to NeurIPS, the challenge offers a high-visibility platform for contributors to showcase rigorous, reproducible science. For professionals and academics, this means that top-tier replication studies will now carry the same weight as novel contributions at the flagship conference. The move also pressures the broader AI community to adopt stronger reproducibility standards. Full details are available on the NeurIPS blog and the official reproducibility website (reproml.org).
- MLRC 2026 is an official track at NeurIPS 2026 for the first time.
- Accepted papers via TMLR will be presented at NeurIPS in Sydney this December.
- Submissions require code, data, and documentation for reproducibility.
Why It Matters
Elevates reproducibility to a core NeurIPS track, pushing the field toward more reliable AI research.