315 citations · 955 across the 38 of their papers we have counts for
3 papers · 2 filters
Do Explanations make VQA Models more Predictable to a Human?
Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav +2
A rich line of research attempts to make deep neural networks more transparent by generating human-interpretable 'explanations' of their decision process, especially for interactiv…
Neural Modular Control for Embodied Question Answering
Abhishek Das, Georgia Gkioxari, Stefan Lee +2
We present a modular approach for learning policies for navigation over long planning horizons from language input. Our hierarchical policy operates at multiple timescales, where t…
Talk the Walk: Navigating New York City through Grounded Dialogue
Harm de Vries, Kurt Shuster, Dhruv Batra +3
We introduce "Talk The Walk", the first large-scale dialogue dataset grounded in action and perception. The task involves two agents (a "guide" and a "tourist") that communicate vi…