What We Learned by Reproducing 2,200 papers from ICML
The researchers reproduced 2,200 papers from the ICML conference to verify their reproducibility. By independently reproducing the papers by strictly following the original methods, they found that a large number of results could not be successfully reproduced. This process revealed significant issues in the field of machine learning regarding experimental transparency, code sharing, and report completeness, prompting the community to reexamine academic publication standards and data management practices.