242 citations · 1.1k across the 24 of their papers we have counts for
4 papers · 1 filter
Grounding Visual Explanations
Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell +1
Existing visual explanation generating agents learn to fluently justify a class prediction. However, they may mention visual attributes which reflect a strong class prior, although…
Explainable Neural Computation via Stack Neural Module Networks
Ronghang Hu, Jacob Andreas, Trevor Darrell +1
In complex inferential tasks like question answering, machine learning models must confront two challenges: the need to implement a compositional reasoning process, and, in many ap…
Generating Counterfactual Explanations with Natural Language
Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell +1
Natural language explanations of deep neural network decisions provide an intuitive way for a AI agent to articulate a reasoning process. Current textual explanations learn to disc…
Speaker-Follower Models for Vision-and-Language Navigation
Daniel Fried, Ronghang Hu, Volkan Cirik +7
Navigation guided by natural language instructions presents a challenging reasoning problem for instruction followers. Natural language instructions typically identify only a few h…