Update README.md

README.md

 ## 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)
+