2016
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
AISTATS 2016poster
We seek to improve deep neural networks by generalizing the pooling operations that play a central role in current architectures. We pursue a careful exploration of approaches to allow pooling to learn and to adapt to complex and variable patterns. The two primary directions lie in (1) learning a po…