Zhaojing Luo

Adaptive Knowledge Driven Regularization for Deep Neural Networks

In many real-world applications, the amount of data available for training is often limited, and thus inductive bias and auxiliary knowledge are much needed for regularizing model training. One popular regularization method is to impose prior distribution assumptions on model parameters, and many re…