"Improving Deep Regression with Ordinal Entropy. (arXiv:2301.08915v1 [cs.CV])" — An investigation of the fact that in computer vision, formulating regression problems as a classification task often yields better performance, and shows that classification, with the cross-entropy loss, outperforms regression with a mean squared error loss in its ability to learn high-entropy feature representations.

Paper: http://arxiv.org/abs/2301.08915

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Feature learning of regression …