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Evaluating Recurrent Neural Network Explanations

Evaluating Recurrent Neural Network Explanations

26 April 2019
L. Arras
Ahmed Osman
K. Müller
Wojciech Samek
    XAI
    FAtt
ArXivPDFHTML

Papers citing "Evaluating Recurrent Neural Network Explanations"

17 / 17 papers shown
Title
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
Gianluigi Lopardo
F. Precioso
Damien Garreau
16
4
0
05 Feb 2024
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme
  Recognition
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition
Xiao-lan Wu
P. Bell
A. Rajan
19
5
0
29 May 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why,
  How, and When?
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
26
56
0
10 Apr 2023
ferret: a Framework for Benchmarking Explainers on Transformers
ferret: a Framework for Benchmarking Explainers on Transformers
Giuseppe Attanasio
Eliana Pastor
C. Bonaventura
Debora Nozza
33
30
0
02 Aug 2022
ExSum: From Local Explanations to Model Understanding
ExSum: From Local Explanations to Model Understanding
Yilun Zhou
Marco Tulio Ribeiro
J. Shah
FAtt
LRM
19
25
0
30 Apr 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
36
55
0
05 Dec 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for
  Neural Machine Translation
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
Michalis Korakakis
Andreas Vlachos
CLL
31
2
0
13 Sep 2021
The Out-of-Distribution Problem in Explainability and Search Methods for
  Feature Importance Explanations
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Peter Hase
Harry Xie
Joey Tianyi Zhou
OODD
LRM
FAtt
18
91
0
01 Jun 2021
Do Feature Attribution Methods Correctly Attribute Features?
Do Feature Attribution Methods Correctly Attribute Features?
Yilun Zhou
Serena Booth
Marco Tulio Ribeiro
J. Shah
FAtt
XAI
33
132
0
27 Apr 2021
Do Input Gradients Highlight Discriminative Features?
Do Input Gradients Highlight Discriminative Features?
Harshay Shah
Prateek Jain
Praneeth Netrapalli
AAML
FAtt
23
57
0
25 Feb 2021
The elephant in the interpretability room: Why use attention as
  explanation when we have saliency methods?
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
Jasmijn Bastings
Katja Filippova
XAI
LRM
46
173
0
12 Oct 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
34
215
0
05 Jun 2020
Generating Fact Checking Explanations
Generating Fact Checking Explanations
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
22
189
0
13 Apr 2020
Towards Explainable Artificial Intelligence
Towards Explainable Artificial Intelligence
Wojciech Samek
K. Müller
XAI
32
436
0
26 Sep 2019
Explaining and Interpreting LSTMs
Explaining and Interpreting LSTMs
L. Arras
Jose A. Arjona-Medina
Michael Widrich
G. Montavon
Michael Gillhofer
K. Müller
Sepp Hochreiter
Wojciech Samek
FAtt
AI4TS
21
79
0
25 Sep 2019
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
Lip Reading Sentences in the Wild
Lip Reading Sentences in the Wild
Joon Son Chung
A. Senior
Oriol Vinyals
Andrew Zisserman
167
784
0
16 Nov 2016
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