Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning

14 March 2018

Papers citing "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

5 / 105 papers shown

Title
Interpretable Visual Question Answering by Reasoning on Dependency Trees Qingxing Cao Bailin Li Xiaodan Liang Liang Lin 20 55 0 06 Sep 2018
Learning Visual Question Answering by Bootstrapping Hard Attention Mateusz Malinowski Carl Doersch Adam Santoro Peter W. Battaglia OOD 19 96 0 01 Aug 2018
Explainable Neural Computation via Stack Neural Module Networks Ronghang Hu Jacob Andreas Trevor Darrell Kate Saenko LRM OCL 22 197 0 23 Jul 2018
Automatic Documentation of ICD Codes with Far-Field Speech Recognition Albert Haque Corinna Fukushima 11 0 0 30 Apr 2018
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 144 1,465 0 06 Jun 2016