Baokang Wang

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning

2025

Deep Neural Networks (DNNs) have achieved remarkable success in a variety of tasks, particularly in terms of prediction accuracy. However, in real-world scenarios, especially in safety-critical applications, accuracy alone is insufficient; reliable uncertainty estimates are …