From c2ea77f68eb53de84f71beab9b7fa3d7eeea5a21 Mon Sep 17 00:00:00 2001
From: Neta Zmora <31280975+nzmora@users.noreply.github.com>
Date: Mon, 13 Apr 2020 12:10:58 +0300
Subject: [PATCH] Update README.md
Experiment with layout reformatting: shorten the Community section by making it foldable.
---
README.md | 20 ++++++++++++--------
1 file changed, 12 insertions(+), 8 deletions(-)
diff --git a/README.md b/README.md
index 894c58a..b6cde30 100755
--- a/README.md
+++ b/README.md
@@ -60,8 +60,8 @@ Network compression can reduce the memory footprint of a neural network, increas
- [Versioning](#versioning)
- [License](#license)
- [Community](#community)
- - [Github projects using Distiller:](#github-projects-using-distiller)
- - [Research papers citing Distiller:](#research-papers-citing-distiller)
+ - [Github projects using Distiller](#github-projects-using-distiller)
+ - [Research papers citing Distiller](#research-papers-citing-distiller)
- [Acknowledgments](#acknowledgments)
- [Disclaimer](#disclaimer)
@@ -306,13 +306,17 @@ We use [SemVer](http://semver.org/) for versioning. For the versions available,
This project is licensed under the Apache License 2.0 - see the [LICENSE.md](LICENSE.md) file for details
-<details><summary><h2>Community</h2></summary>
+## Community
+<details><summary><b>Github projects using Distiller</b></summary>
<p>
-### Github projects using Distiller
- [DeGirum Pruned Models](https://github.com/DeGirum/pruned-models) - a repository containing pruned models and related information.
+</p>
+</details>
+
+<details><summary><b>Research papers citing Distiller</b></summary>
+<p>
-### Research papers citing Distiller
- Pascal BacchusRobert StewartEmail authorEkaterina 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
@@ -397,7 +401,8 @@ In Japanese Journal of Radiology, February 2019, Volume 37, Issue 2, pp 103–10
- Alexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev.<br>
*[Fast Adjustable Threshold For Uniform Neural Network Quantization](https://arxiv.org/abs/1812.07872)*,<br>
arXiv:1812.07872, 2018
-
+</p>
+</details>
If you used Distiller for your work, please use the following citation:
@@ -414,8 +419,7 @@ If you used Distiller for your work, please use the following citation:
url = {https://arxiv.org/abs/1910.12232}
}
```
-</p>
-</details>
+
## Acknowledgments
--
GitLab