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https://arxiv.org/abs/2103.14749 [2103.14749] Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Abstract page for arXiv paper 2103.14749: Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks machine learning pervasive label errors test https://aidos.group/blog/rings/ Standard graph-learning benchmarks earn poor marks: New dataset-evaluation framework raises... The AIDOS Lab at the University of Fribourg builds principled methods at the intersection of geometry, topology, and machine learning to reveal hidden... learning benchmarks evaluation framework standard graph https://www.vng-international.nl/learning-benchmarks/ Learning benchmarks - VNG International VNG International’s Learning Benchmark is a proven and powerful instrument for building the capacity of local governments. With over fifteen years of... learning benchmarks vng international