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Towards Transparent AI Systems: Interpreting Visual Question Answering
  Models

Towards Transparent AI Systems: Interpreting Visual Question Answering Models

31 August 2016
Yash Goyal
Akrit Mohapatra
Devi Parikh
Dhruv Batra
ArXivPDFHTML

Papers citing "Towards Transparent AI Systems: Interpreting Visual Question Answering Models"

11 / 11 papers shown
Title
Explanation Strategies for Image Classification in Humans vs. Current
  Explainable AI
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI
Ruoxi Qi
Yueyuan Zheng
Yi Yang
Caleb Chen Cao
J. H. Hsiao
25
5
0
10 Apr 2023
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution
  Generalization of VQA Models
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models
Ali Borji
CoGe
10
1
0
28 Jan 2023
Levels of explainable artificial intelligence for human-aligned
  conversational explanations
Levels of explainable artificial intelligence for human-aligned conversational explanations
Richard Dazeley
Peter Vamplew
Cameron Foale
Charlotte Young
Sunil Aryal
F. Cruz
30
89
0
07 Jul 2021
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
23
137
0
17 May 2021
Information-theoretic Evolution of Model Agnostic Global Explanations
Information-theoretic Evolution of Model Agnostic Global Explanations
Sukriti Verma
Nikaash Puri
Piyush B. Gupta
Balaji Krishnamurthy
FAtt
19
0
0
14 May 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual
  Explanations
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
Varun Nagaraj Rao
Xingjian Zhen
K. Hovsepian
Mingwei Shen
24
17
0
29 Apr 2021
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
S. Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
37
6,109
0
22 Oct 2019
Visual Interpretability for Deep Learning: a Survey
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang
Song-Chun Zhu
FaML
HAI
17
809
0
02 Feb 2018
It Takes Two to Tango: Towards Theory of AI's Mind
It Takes Two to Tango: Towards Theory of AI's Mind
Arjun Chandrasekaran
Deshraj Yadav
Prithvijit Chattopadhyay
Viraj Prabhu
Devi Parikh
28
53
0
03 Apr 2017
Attentive Explanations: Justifying Decisions and Pointing to the
  Evidence
Attentive Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
AAML
16
79
0
14 Dec 2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
99
3,116
0
02 Dec 2016
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