A Comprehensive Survey of Loss Functions in Machine Learning

By Qi Wang, Yue Ma, Kun Zhao, Ying-jie Tian. Annals of Data Science, 2020

701 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/89998030721e58ade6349b9426cc8c8d81103028

Citations in the corpus

• The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation (2021, neutral): “In the future, we plan to compare R(2) with other regression rates such as Huber metric Hδ (Huber, 1992), LogCosh loss (Wang et al., 2020) and Quantile Qγ (Yue & Rue, 2011).”