Commit 95d6ede2 authored by Avishek Anand's avatar Avishek Anand

Update README.md

parent 818adb15
## 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]
......@@ -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.**
......@@ -108,5 +106,10 @@ We release [InterpretMe]
## 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)
Markdown is supported
0%
or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment