Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules

30 Jun 2020Sarthak MittalAlex LambAnirudh GoyalVikram VoletiMurray ShanahanGuillaume LajoieMichael MozerYoshua Bengio

Robust perception relies on both bottom-up and top-down signals. Bottom-up signals consist of what's directly observed through sensation... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet