loveparade2 days ago
Very cool book. I think a reason why ML has seen so much progress despite benchmark overfitting/abuse is that results are "regularized" by real world applications and the Lindy effect. Methods, or research, that abuse benchmarks aren't adopted by follow-up research so they tend not to survive. And they aren't adopted because people try them but then find out that they don't generalize to other/newer benchmarks. So the system works not because of specific benchmarks, but because of how the community as a whole deals with benchmarks.
erdemoa day ago
This is the actual link to reach the book. There is no navigation link back to the index on the shared link.
NeutralForesta day ago
Thanks, I had to do the same.
trostaft2 days ago
If I'm recall correctly, this was also a keynote at MDS24? That was also a great talk, Hardt is an excellent speaker.
lazrgatr2 days ago
A little rule I live by is that if Moritz Hardt writes it, I will read it
TrainedMonkey2 days ago
Why is that?
kaycey20222 days ago
You honestly don't know of Moritz Hardt?
fxwina day ago
Why so snarky? I also didn't know who he was:
I'm a director at the Max Planck Institute for Intelligent Systems. Prior to joining the institute, I was Associate Professor for Electrical Engineering and Computer Sciences at the University of California, Berkeley. My research contributes to the scientific foundations of machine learning and algorithmic decision making with a focus on social questions.[0]
Also simply knowing of him doesn't answer the question.
kaycey20228 hours ago
sry just a joke man
khafraa day ago
xkcd 1053, my friend.
pakapicaa day ago
added to my reading list :)
salberts2 days ago
Read the preface.
1. It sounds like this book can be summarized in a practical blog post or a series of posts
2. Is using the term crisis so many times really necessary?