Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates.
Transactions on Machine Learning Research (TMLR)
Reproducibility Score
Documentation Score
The Percentage of Empirical Papers Documenting Each Reproducibility Variable
| Venue |
Reproducibility Score based on Gundersen et al. (2025). See Methods for details.
|
Documentation Score is the average score over the seven reproducibility variables for empirical research papers. See Methods for details.
|
Percentage of papers that are empirical research vs theoretical research.
|
Percentage of empirical research papers with at least one author from Industry.
|
Website | ||
|---|---|---|---|---|---|---|---|
| TMLR | 2025 | 1418 | 0.62 | 4.51 | 94.71% | 33.8% | |
| TMLR | 2024 | 947 | 0.61 | 4.36 | 94.51% | 34.64% | |
| TMLR | 2023 | 608 | 0.59 | 4.29 | 94.41% | 42.51% | |
| TMLR | 2022 | 216 | 0.61 | 4.23 | 96.3% | 48.08% |