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Attentive Explanations: Justifying Decisions and Pointing to the
  Evidence

Attentive Explanations: Justifying Decisions and Pointing to the Evidence

14 December 2016
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
    AAML
ArXivPDFHTML

Papers citing "Attentive Explanations: Justifying Decisions and Pointing to the Evidence"

13 / 13 papers shown
Title
Optimization and Interpretability of Graph Attention Networks for Small
  Sparse Graph Structures in Automotive Applications
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications
Marion Neumeier
Andreas Tollkühn
S. Dorn
M. Botsch
Wolfgang Utschick
GNN
19
4
0
25 May 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
90
0
07 Jul 2021
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
38
370
0
30 Apr 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven,
  AI-Enabled Medical Imaging Analysis
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis
Yao Xie
Melody Chen
David Kao
Ge Gao
Xiang Ánthony' Chen
31
126
0
15 Jan 2020
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Ning Xie
Farley Lai
Derek Doran
Asim Kadav
CoGe
51
322
0
20 Jan 2019
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with
  Deep Classification Features
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features
P. Tschandl
G. Argenziano
M. Razmara
J. Yap
22
69
0
22 Oct 2018
Using Machine Learning Safely in Automotive Software: An Assessment and
  Adaption of Software Process Requirements in ISO 26262
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
Rick Salay
Krzysztof Czarnecki
25
69
0
05 Aug 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable
  Machine Learning Systems
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Richard J. Tomsett
Dave Braines
Daniel Harborne
Alun D. Preece
Supriyo Chakraborty
FaML
26
164
0
20 Jun 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
33
53
0
03 Apr 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
158
1,464
0
06 Jun 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
170
840
0
17 May 2016
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