awesome-metric-learning
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Content request: application-related models
Example topics:
-
metric learning in recommendation systems:
- https://towardsdatascience.com/introduction-to-recommender-system-part-2-adoption-of-neural-network-831972c4cbf7
- https://arxiv.org/abs/1603.04259
- https://github.com/AmazingDD/daisyRec
-
anomalies detection
- http://repository.bilkent.edu.tr/bitstream/handle/11693/76402/10407238.pdf?sequence=1&isAllowed=y
- Maybe something related from here - https://github.com/hoya012/awesome-anomaly-detection
Should we do so before the publication? My point was create separate subsections by use case under the applications section once we have more content, but we can list them at the same level as applications, too. Needs some extra research in either way though.
No, we can do it later