Abstract: The cross-entropy loss function is widely used in model training, but in some scenarios, its sensitivity to label noise and the imbalance of samples have led to training constraints. In this ...

Abstract: A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that ...

ABSTRACT: Treatment-Resistant Depression (TRD) remains one of the most challenging subtypes of major depressive disorder, affecting approximately one-third of patients and leading to significant ...

ODESSA, Texas (KOSA/Gray News) - A college cross-country athlete in Texas died after he collapsed during practice, the school announced. Gage Broomall, a sophomore at Odessa College, collapsed at the ...

https://github.com/wysoczanska/clip_dinoiser/blob/main/train.py/#L42 I notice here the loss is taking the logits as the inputs, but corr should be interpreted as ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Add a description, image, and links to the cross-entropy-loss topic page so that developers can more easily learn about it.