Sign in

Fred Sala

@fredsala.bsky.social
150 followers 281 following 8 posts

Wisconsin CS. Snorkel AI. Working on machine learning & information theory. pages.cs.wisc.edu/~fredsala

PostsRepliesMedia
Fred Sala @fredsala.bsky.social · 27/03/2026
Samsung's Silicon Valley HQ is a giant hollow cube: www.swagroup.com/projects/sam...
swagroup.com
Samsung Headquarters
Shanghai TowerChina’s tallest building, Shanghai Tower, is located in the [...]
071
Fred Sala @fredsala.bsky.social · 09/01/2026
They also regularly go down right before paper deadlines.
160
Fred Sala @fredsala.bsky.social · 23/04/2025
Today at @iclr-conf.bsky.social, come chat with @changho.bsky.social about what types of data drive weak-to-strong generalization!
0103
Fred Sala @fredsala.bsky.social · 06/01/2025
Some of our work that uses these ideas (and applies to code): harit7.github.io/posts/2023/0...
harit7.github.io
Aggregating Foundation Model Objects
CS PhD Candidate at UW Madison
010
Fred Sala @fredsala.bsky.social · 06/01/2025
The generalization of majority vote is a en.wikipedia.org/wiki/Fr%C3%A.... For code, this is the snippet whose total (square) distance to all the generated snippets is smallest. It gets more fun when you try to use a weighted mean, with weights corresponding to how “accurate” each snippet is.
en.wikipedia.org
Fréchet mean - Wikipedia
120
Fred Sala @fredsala.bsky.social · 06/01/2025
Probably not how the plot is made, but this type of problem is studied frequently in statistical phylogenetics. People often define spaces of phylogenetic trees, often continuous versions, equipped with a metric. For code, these trees are e.g. ASTs.
110
Fred Sala @fredsala.bsky.social · 11/12/2024
First up at #NeurIPS2024 from our group, our work on labeling via programmatic distillation (a spotlight!). Label your data orders of magnitude faster and cheaper — come join us today at Poster Session 2 East for a demo!
0158
Fred Sala @fredsala.bsky.social · 11/12/2024
Landed in Vancouver for #NeurIPS! Looking forward to seeing everyone. If you would like to chat about data-centric AI and foundation models, reach out!
0110