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Avishek Anand
interpretability
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95d6ede2
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Mar 24, 2018
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Avishek Anand
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## Must-read papers on Interpretability and Explanations.
NRL: network representation learning. NE: network embedding.
We must make a distinction between interpretable models and interpreting decisions made by models.
We release [InterpretMe]
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@@ -25,7 +22,8 @@ We release [InterpretMe]
1.
**Learning Interpretable Models**
*Stefan R¨uping*
2006.
[
paper
](
https://eldorado.tu-dortmund.de/bitstream/2003/23008/1/dissertation_rueping.pdf
)
2.
**Explaining Rankings**
*Maartje Anne ter Hoeve*
.2017.
[
thesis
](
https://pdfs.semanticscholar.org/756e/28e7fa971b2c610605ee4223ec18544aa7cf.pdf
)
### Journal and Conference papers:
1.
**Towards a rigorous science of interpretable machine learning.**
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## Relevance propagation ##
1.
**On pixel-wise explanations for non-linear classifier deci- sions by layer-wise relevance propagation**
*S. Bach, A. Binder, G. Montavon, F. Klauschen, K.-R. Mu ̈ller, and W. Samek*
.PLOS one 2015,
[
paper
](
http://iphome.hhi.de/samek/pdf/BacPLOS15.pdf
)
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