Weak Supervision

[CS 520](https://web.stanford.edu/class/cs520/)

* [Introduction](https://web.stanford.edu/class/cs520/abstracts/re.html)
* [Slides](https://web.stanford.edu/class/cs520/abstracts/re.pdf)
* [Video](https://youtu.be/ZWM-Dlw3VCM?t=2100)

Paper

* [[1605.07723] Data Programming: Creating Large Training Sets, Quickly](https://arxiv.org/abs/1605.07723)
* [Snorkel: rapid training data creation with weak supervision | SpringerLink](https://link.springer.com/article/10.1007/s00778-019-00552-1)
  * [Snorkel AI: Programmatic Approach to Labeling Training Data | by Yitaek Hwang | Towards Data Science](https://towardsdatascience.com/snorkel-ai-programmatic-approach-to-labeling-training-data-11973cf14f70)
  * [snorkel-team/snorkel: A system for quickly generating training data with weak supervision](https://github.com/snorkel-team/snorkel)
  * [snorkel-team/snorkel-tutorials: A collection of tutorials for Snorkel](https://github.com/snorkel-team/snorkel-tutorials)
  * [**Get Started · Snorkel**](https://www.snorkel.org/get-started/)
* [[1812.00417] Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale](https://arxiv.org/abs/1812.00417)
* [[1909.05372] Overton: A Data System for Monitoring and Improving Machine-Learned Products](https://arxiv.org/abs/1909.05372)
  * [p33-re-cidr20.pdf](http://cidrdb.org/cidr2020/papers/p33-re-cidr20.pdf)

Article

* [Weak Supervision for Science and Medicine: A Year in Review](https://hazyresearch.stanford.edu/ws4science)

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Weak Supervision #17

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