43 citations · 92 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 11 cited
Question-Conditioned Counterfactual Image Generation for VQA
Jingjing Pan, Yash Goyal, Stefan Lee
While Visual Question Answering (VQA) models continue to push the state-of-the-art forward, they largely remain black-boxes - failing to provide insight into how or why an answer i…
cs.LG2019★ 38 cited
Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst +3
In this work, we develop a technique to produce counterfactual visual explanations. Given a 'query' image for which a vision system predicts class , a counterfactual visual…
cs.CV2016★ 43 cited
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
Yash Goyal, Akrit Mohapatra, Devi Parikh +1
Deep neural networks have shown striking progress and obtained state-of-the-art results in many AI research fields in the recent years. However, it is often unsatisfying to not kno…