NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:9119
Title:Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics

This paper provides insightful analysis into what decision processes are actually implemented by a trained recurrent network for sentiment classification, and uncover simple line attractor dynamics. All reviewers agree that this is interesting and illuminating, and that this work shows a good example of what can be done to open the black box of deep systems.