most citedEvaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits

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cs.LG2023★ 1 cited

Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits

Zhuokai Zhao, Takumi Matsuzawa, William Irvine +2

Proper evaluations are crucial for better understanding, troubleshooting, interpreting model behaviors and further improving model performance. While using scalar-based error metri…