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An Adversarial Approach for Explaining the Predictions of Deep Neural
  Networks

An Adversarial Approach for Explaining the Predictions of Deep Neural Networks

20 May 2020
Arash Rahnama
A.-Yu Tseng
    FAtt
    AAML
    FaML
ArXivPDFHTML

Papers citing "An Adversarial Approach for Explaining the Predictions of Deep Neural Networks"

3 / 3 papers shown
Title
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
27
142
0
14 Dec 2020
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
235
201
0
06 Jul 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,373
0
25 Aug 2014
1