3 ms·
Thanks everyone for your interest. Since some people have wondered what out-of-distribution is, I'm going to talk about it briefly. It is an emerging trend in
by continuousml 3y ago
Thanks everyone for your interest. Since some people have wondered what out-of-distribution is, I'm going to talk about it briefly.
It is an emerging trend in deep learning research aiming to address one of the current deficiencies that limits the deployment of neural networks in practice. To quote one of my answers earlier: "Deep learning has had tremendous success recently but it often makes one important assumption, that is whatever data the model sees during deployment should be 'similar' to what it was trained on (aka in-distribution). Unfortunately, the real world is not static and constantly evolving, and so is the data we feed into the model. Equipping the model with the ability to say no when it is not familiar with the input is very important, especially when it comes to safety-critical applications."
- travisjungroth 3y agoI think it would be good to put this at the top of the readme. I can see you’re curating content instead of creating it, but this seems like a worthwhile exception. It will orient people who stumble into your repo.
- continuousml 3y agoGotcha. Thank you so much for your feedback. This is actually a work in progress and I am drafting a nice logo + intro for it ;)
- travisjungroth 3y agoPerfect is the enemy of good. Put it in as you have it right now, while you’re getting the HN traffic. Not everyone reads the comments. Replace it when you have something better. I’d open a PR but I’m in the bath.
- continuousml 3y agoDone. Thank you so much ;)
- travisjungroth 3y agoThank you!
- continuousml 3y agoYou're welcome! Thanks for the wisdom.