Preferences

you can always make a new vector that's orthogonal to all the ones currently used and see if the inclusion improves performance on your tasks

> see if the inclusion improves performance on your tasks

Apparently it doesn't at least not in our models with our training applied to our tasks.

So if we expand one of those 3 things and notice that 17-th vector makes a difference then we are having progress.

This item has no comments currently.

Keyboard Shortcuts

Story Lists

j
Next story
k
Previous story
Shift+j
Last story
Shift+k
First story
o Enter
Go to story URL
c
Go to comments
u
Go to author

Navigation

Shift+t
Go to top stories
Shift+n
Go to new stories
Shift+b
Go to best stories
Shift+a
Go to Ask HN
Shift+s
Go to Show HN

Miscellaneous

?
Show this modal