Add usage.md to document featured usage of NSL in the open source community.

PiperOrigin-RevId: 388583479

Author: arjung

README.md

@@ -128,6 +128,11 @@ please fill this
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+## Featured Usage
+
+Please see the [usage page](usage.md) to learn more about how NSL is being
+discussed and used in the open source community.
+
 ## Release Notes
 
 Please see the [release notes](RELEASE.md) for detailed version updates.

usage.md

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+# NSL Usage
+
+This page lists various presentations, videos, and tutorials given on NSL as
+well as select media articles. If you're using NSL or have given a talk on NSL,
+and would like to have it added here, feel free to reach out to us by creating
+an issue on GitHub. Alternatively, you can update this page directly by sending
+us a pull request.
+
+The list of GitHub users/projects that depend on Neural Structured Learning can
+be found
+[here](https://github.com/tensorflow/neural-structured-learning/network/dependents).
+
+## Workshops/Tutorials
+
+*   *Neural Structured Learning*, at [KDD 2020](https://kdd.org/kdd2020):
+    [[tutorial website](workshops/kdd_2020)],
+    [[video](https://youtu.be/YVk4YYfIfHw?t=2052)]
+*   *Neural Structured Learning*, at
+    [WSDM 2021](https://www.wsdm-conference.org/2021):
+    [[tutorial website](workshops/wsdm_2021)],
+    [[video](https://vimeo.com/521446166)]
+*   *Neural Structured Learning*, at
+    [WebConf 2021](https://www2021.thewebconf.org):
+    [[tutorial website](workshops/webconf_2021)]
+*   *Practical Adversarial Robustness in Deep Learning: Problems and Solutions*,
+    at [CVPR 2021](http://cvpr2021.thecvf.com):
+    [[tutorial website](https://sites.google.com/corp/view/par-2021)],
+    [[video](https://youtu.be/ZmkU1YO4X7U?t=7671)]
+*   *Recognizing Multimodal Entailment* at [ACL 2021](https://2021.aclweb.org):
+    [[tutorial website](https://multimodal-entailment.github.io)]
+
+## External Talks
+
+*   *Introduction to NSL*, a mini YouTube video series:
+
+    *   [Framework overview](https://www.youtube.com/watch?v=N_IS3x5wFNI)
+    *   [Training with natural graphs](https://www.youtube.com/watch?v=pJRRdtJ-rPU)
+    *   [Training with synthesized graphs](https://www.youtube.com/watch?v=3RQqTTOY0U0)
+    *   [Adversarial Learning](https://www.youtube.com/watch?v=Js2WJkhdU7k)
+
+*   *Neural Structured Learning in TensorFlow*, at
+    [TensorFlow World 2019](https://conferences.oreilly.com/tensorflow/tf-ca-2019.html):
+    [[video](https://www.youtube.com/watch?v=2Ucq7a8CY94)]
+
+*   *Building Robust Vision Models*, at TensorFlow User Group India Summit,
+    2020:
+    [[tutorial website](https://github.com/dipanjanS/adversarial_learning_tfug2020)],
+    [[video](https://youtu.be/qi1cVGTa3sg?t=2569)],
+    [[colab](neural_structured_learning/examples/notebooks/adversarial_cnn_transfer_learning_fashionmnist.ipynb)]
+
+## Media Coverage
+
+Below is an incomplete list of media publications featuring NSL:
+
+*   [VentureBeat](https://venturebeat.com/2019/09/03/google-launches-tensorflow-machine-learning-framework-for-graphical-data)
+*   [SiliconAngle](https://siliconangle.com/2019/09/03/new-google-tool-teaches-ai-handle-structured-adversarial-data)
+*   [DevClass](https://devclass.com/2019/09/03/tensorflow-nsl-aws-container-insights-teamcity-gitlab-fixes)
+*   [Eyerys](https://www.eyerys.com/articles/news/google-introduces-neural-structured-learning-handle-structured-and-adversarial-data)
+*   [AnalyticsIndiaMag](https://analyticsindiamag.com/tensorflows-neural-structured-learning-makes-deep-learning-super-easy)
+*   [C1](https://www.cnbeta.com/articles/tech/885619.htm),
+    [C2](https://www.catssss.com/tech_34823.html),
+    [C3](https://ctolib.com/tensorflow-neural-structured-learning.html) (in
+    Chinese).
+
+## Blog Posts
+
+*   [*Introducing Neural Structred Learning in TensorFlow*](https://blog.tensorflow.org/2019/09/introducing-neural-structured-learning.html)
+*   [*Neural Structured Learning in TFX*](https://blog.tensorflow.org/2020/10/neural-structured-learning-in-tfx.html)
+*   [*Improving Classification Model Robustness with Adversarial Regularization
+    in
+    TensorFlow*](https://towardsdatascience.com/neural-structured-learning-adversarial-regularization-378523dace08)