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Teaching AI to Explain its Decisions Using Embeddings and Multi-Task
  Learning

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning

5 June 2019
Noel Codella
Michael Hind
Karthikeyan N. Ramamurthy
Murray Campbell
Amit Dhurandhar
Kush R. Varshney
Dennis L. Wei
Aleksandra Mojsilović
ArXivPDFHTML

Papers citing "Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning"

3 / 3 papers shown
Title
Image Classification with Consistent Supporting Evidence
Image Classification with Consistent Supporting Evidence
Peiqi Wang
Ruizhi Liao
Daniel Moyer
Seth Berkowitz
Steven Horng
Polina Golland
49
2
0
13 Nov 2021
Don't Explain without Verifying Veracity: An Evaluation of Explainable
  AI with Video Activity Recognition
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
Mahsan Nourani
Chiradeep Roy
Tahrima Rahman
Eric D. Ragan
Nicholas Ruozzi
Vibhav Gogate
AAML
15
17
0
05 May 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,242
0
24 Jun 2017
1