Abstract: Self-knowledge distillation has emerged as a powerful method, notably boosting the prediction accuracy of deep neural networks while being resource-efficient, setting it apart from ...

Abstract: Knowledge distillation (KD) is a prevalent model compression technique in deep learning, aiming to leverage knowledge from a large teacher model to enhance the training of a smaller student ...

Extractive distillation processes with N-formylmorpholine (NFM) are used industrially to separate benzene from six carbon non-aromatics. In the process studied in this work, the stream of interest ...

If an Iranian taxi driver waves away your payment, saying, "Be my guest this time," accepting their offer would be a cultural disaster. They expect you to insist on paying—probably three times—before ...