insights.sei.cmu.edu/annual-reviews/2022-research-review/automating-mismatch-detection-and-testing-in-ml-systems
Preview meta tags from the insights.sei.cmu.edu website.
Linked Hostnames
12- 9 links towww.sei.cmu.edu
- 8 links toinsights.sei.cmu.edu
- 2 links toresources.sei.cmu.edu
- 2 links towww.cmu.edu
- 1 link todoi.org
- 1 link toitunes.apple.com
- 1 link towww.facebook.com
- 1 link towww.kb.cert.org
Thumbnail
Search Engine Appearance
https://insights.sei.cmu.edu/annual-reviews/2022-research-review/automating-mismatch-detection-and-testing-in-ml-systems
Automating Mismatch Detection and Testing in ML Systems
We are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support testing of ML-enabled systems.
Bing
Automating Mismatch Detection and Testing in ML Systems
https://insights.sei.cmu.edu/annual-reviews/2022-research-review/automating-mismatch-detection-and-testing-in-ml-systems
We are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support testing of ML-enabled systems.
DuckDuckGo
https://insights.sei.cmu.edu/annual-reviews/2022-research-review/automating-mismatch-detection-and-testing-in-ml-systemsAutomating Mismatch Detection and Testing in ML Systems
We are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support testing of ML-enabled systems.
General Meta Tags
22- titleAutomating Mismatch Detection and Testing in ML Systems
- titleicon-carat-right
- titlemenu
- titlesearch
- titlecmu-wordmark
Open Graph Meta Tags
11- og:urlhttps://insights.sei.cmu.edu/annual-reviews/2022-research-review/automating-mismatch-detection-and-testing-in-ml-systems/
- og:typewebsite
og:localeen_US- og:titleAutomating Mismatch Detection and Testing in ML Systems
- og:descriptionWe are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support testing of ML-enabled systems.
Twitter Meta Tags
7- twitter:cardsummary
- twitter:site@SEI_CMU
- twitter:creator@SEI_CMU
- twitter:titleAutomating Mismatch Detection and Testing in ML Systems
- twitter:descriptionWe are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support testing of ML-enabled systems.
Link Tags
9- apple-touch-icon/static/favicons/apple-icon.png
- canonicalhttps://insights.sei.cmu.edu/annual-reviews/2022-research-review/automating-mismatch-detection-and-testing-in-ml-systems/
- icon/static/favicons/favicon.ico
- icon/static/favicons/favicon.svg
- stylesheethttps://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css
Links
29- https://doi.org/10.1109/WAIN52551.2021.00028
- https://insights.sei.cmu.edu/annual-reviews
- https://insights.sei.cmu.edu/annual-reviews/2022-research-review
- https://insights.sei.cmu.edu/annual-reviews/2022-research-review/a-machine-learning-pipeline-for-deepfake-detection
- https://insights.sei.cmu.edu/annual-reviews/2022-research-review/ai-engineering-in-an-uncertain-world