Dinan Lin

Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer

This paper studies Associate Learning (AL), an alternative methodology to the end-to-end backpropagation (BP). We introduce the workflow to convert a neural network into a proper structure such that AL can be used to learn the weights for various types of neural networks. We compared AL and BP on…