3 ms·
Hi there. Thanks a lot for your interest. You are very close indeed, but there is a very minor technical difference. Consider a distribution of dogs. If you ha
by continuousml 3y ago
Hi there. Thanks a lot for your interest. You are very close indeed, but there is a very minor technical difference.
Consider a distribution of dogs. If you have a dog that is significantly different from the majority of the dogs in the distribution, then it is an outlier. On the other hand, if you have a cat, which does not come from that distribution, then we refer to it as out-of-distribution.
I hope it makes sense and please let me know if you have more questions.
- clircle 3y agoSeems like a very extreme outlier…
- continuousml 3y agoFacts. I often think of it as some sort of outlier, intuitively. However, it is generally helpful to be familiar with the terms that many authors use when you navigate the literature ;)
- continuousml 3y agoBy the way, I just happened to click on your profile...Please correct me for any misconception I may have lol.
- continuousml 3y agoThere is a well-known survey in the field that characterizes anomaly/novelty + ood detection as 'generalized ood detection'. Check it out: https://arxiv.org/pdf/2110.11334.pdf https://arxiv.org/pdf/2110.11334.pdf