Re:Google One
by arghwhat on Tuesday November 19, 2019 @05:13AM
(#21571789)
Different learning techniques have different applications. I do not believe those techniques are applicable to the hypothetical use-cases of this dataset.
Perhaps semi-supervised could be utilized, which reduces the required annotation by some factor k, but still leaves it as a function of the dataset.
Self-supervised basically replaces human annotation with machine annotation, making it only applicable to a small subset of tasks in which this is possible (e.g. you could train "guess time from picture" using EXIF timestamp).
Unsupervised is only applicable to very specific tasks.
Perhaps semi-supervised could be utilized, which reduces the required annotation by some factor k, but still leaves it as a function of the dataset.
Self-supervised basically replaces human annotation with machine annotation, making it only applicable to a small subset of tasks in which this is possible (e.g. you could train "guess time from picture" using EXIF timestamp).
Unsupervised is only applicable to very specific tasks.