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Towards Robust Interpretability with Self-Explaining Neural Networks

Towards Robust Interpretability with Self-Explaining Neural Networks

20 June 2018
David Alvarez-Melis
Tommi Jaakkola
    MILM
    XAI
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Papers citing "Towards Robust Interpretability with Self-Explaining Neural Networks"

7 / 507 papers shown
Title
Axiomatic Interpretability for Multiclass Additive Models
Axiomatic Interpretability for Multiclass Additive Models
Xuezhou Zhang
S. Tan
Paul Koch
Yin Lou
Urszula Chajewska
R. Caruana
FAtt
AI4CE
8
3
0
22 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
28
144
0
15 Oct 2018
On the Robustness of Interpretability Methods
On the Robustness of Interpretability Methods
David Alvarez-Melis
Tommi Jaakkola
30
521
0
21 Jun 2018
TSViz: Demystification of Deep Learning Models for Time-Series Analysis
TSViz: Demystification of Deep Learning Models for Time-Series Analysis
Shoaib Ahmed Siddiqui
Dominique Mercier
Mohsin Munir
Andreas Dengel
Sheraz Ahmed
FAtt
AI4TS
29
83
0
08 Feb 2018
Embedding Deep Networks into Visual Explanations
Embedding Deep Networks into Visual Explanations
Zhongang Qi
Saeed Khorram
Fuxin Li
29
27
0
15 Sep 2017
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
232
201
0
06 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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