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Machine Learning Reproducibility Challenge (MLRC) 2026
MLRC 2026 challenges participants to reproduce and validate published ML results. Accepted reproductions are published in Transactions on Machine Learning Research (TMLR). Intent-to-submit deadline is June 4, 2026.
Why it matters
Reproducibility work is undervalued but highly cited â MLRC gives researchers a structured way to publish verification studies with real community impact.
The Machine Learning Reproducibility Challenge encourages the community to reproduce and scrutinise published ML results â a critical but undervalued contribution to science.
2026 Key dates:
- Intent to submit deadline: June 4, 2026 (23:59 AOE)
- TMLR decision deadline: September 30, 2026
- Accepted paper announcements: October 2026
How it works:
- Pick a recently published ML paper
- Reproduce its core claims independently
- Submit a TMLR paper documenting your reproduction (successful or not)
- Register your intent by June 4
Why participate:
- Publication credit in a peer-reviewed venue (TMLR)
- Builds rigorous research skills
- Contributes to MLâs scientific integrity
Particularly good for graduate students and early-career researchers looking for a structured publication opportunity.