Dist Loss regularizes regression models by matching the sorted distribution of predictions to the label distribution, improving few-shot region accuracy on age and ECG-potassium benchmarks.
Fast differentiable sorting and ranking
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Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
Dist Loss regularizes regression models by matching the sorted distribution of predictions to the label distribution, improving few-shot region accuracy on age and ECG-potassium benchmarks.