Walter Montalvo @WalterMontalvo@qoto.org

Today I presented "Weight Agnostic Neural Networks" https://weightagnostic.github.io/ in our reading group. There are many things I like about this paper! The main idea is to optimize neural architectures so that they perform well for a range of weights.
1/?

A thing I plotted while trying to get all my rotations to go in the right directions.
For those interested, it is tracked points on a fruit fly, all aligned by the thorax -- the big v shape at the origin. The head of the fly is the ^ that is mostly pointing up. Most of the other lines show the flies' legs, which go all over.

@WalterMontalvo Yes, we track a bunch of points from videos of the flies using deep learning. This is some data from a dataset we developed last year: https://www.aicrowd.com/challenges/multi-agent-behavior-challenge-2022/problems/mabe-2022-fruit-fly-groups
Here's a link to the tracking software we're developing, if you're interested:
http://kristinbranson.github.io/APT/