From 73cba6f563d84b25122297ad6a7e09f33cf9203e Mon Sep 17 00:00:00 2001
From: Neta Zmora <31280975+nzmora@users.noreply.github.com>
Date: Tue, 21 Apr 2020 19:22:13 +0300
Subject: [PATCH] Update README

Added TorchFI citation
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 README.md | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 8cd81b6..961cad8 100755
--- a/README.md
+++ b/README.md
@@ -301,12 +301,18 @@ This project is licensed under the Apache License 2.0 - see the [LICENSE.md](LIC
 <p>
   
 - [DeGirum Pruned Models](https://github.com/DeGirum/pruned-models) - a repository containing pruned models and related information.
+
+- [TorchFI](https://github.com/bfgoldstein/torchfi) - TorchFI is a fault injection framework build on top of PyTorch for research purposes.
 </p>	
 </details>
 
 <details><summary><b>Research papers citing Distiller</b></summary>	
 <p>
-
+  
+- Brunno F. Goldstein, Sudarshan Srinivasan, Dipankar Das, Kunal Banerjee, Leandro Santiago, Victor C. Ferreira, Alexandre S. Nery, Sandip Kundu, Felipe M. G. Franca.<br>
+*[Reliability Evaluation of Compressed Deep Learning Models](https://ieeexplore.ieee.org/document/9069026)*,<br>
+In IEEE 11th Latin American Symposium on Circuits & Systems (LASCAS), San Jose, Costa Rica, 2020, pp. 1-5.
+  
 - Pascal Bacchus, Robert Stewart, Ekaterina Komendantskaya.<br>
 *[Accuracy, Training Time and Hardware Efficiency Trade-Offs for Quantized Neural Networks on FPGAs](https://link.springer.com/chapter/10.1007/978-3-030-44534-8_10)*,<br>
 In Applied Reconfigurable Computing. Architectures, Tools, and Applications. ARC 2020. Lecture Notes in Computer Science, vol 12083. Springer, Cham
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