Distilling the Knowledge in a Neural Network

The paper "Distilling the Knowledge in a Neural Network" by Hinton et al. introduces knowledge distillation, transferring knowledge from complex models to simpler ones for improved inference efficiency. It discusses the importance of softmax functions in generating probability distributions and presents experimental results demonstrating the effectiveness of the proposed method in various applications.