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 ...

Binary cross-entropy (BCE) is the default loss function for binary classification—but it breaks down badly on imbalanced datasets. The reason is subtle but important: BCE weighs mistakes from both ...

While students in New Britain, Connecticut return to class, one teacher remains sidelined, worried she could lose her job as a dispute over her classroom cross keeps her away from the job she loves.

Blue Cross Blue Shield of Massachusetts says it will soon stop covering popular drugs for weight loss, like Ozempic and Wegovy. The medications have skyrocketed in price and popularity, but they're ...

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ABSTRACT: Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately ...

in language_module.py, when use cross_entropy_loss_fusion with TE < 2.1, te_parallel_cross_entropy will return None, and cause loss ERROR. labels = labels.transpose(0, 1).contiguous() if ...

Abstract: Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, designed based on the similarities between sample features and class prototypes. These ...

ABSTRACT: With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges ...