4 ms·
Book: The Emerging Science of Machine Learning Benchmarks
- lazrgatr 7mo agoA little rule I live by is that if Moritz Hardt writes it, I will read it
- TrainedMonkey 7mo agoWhy is that?
- kaycey2022 7mo agoYou honestly don't know of Moritz Hardt?
- fxwin 7mo agoWhy 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. [0] https://mrtz.org/ https://mrtz.org/
- kaycey2022 7mo agosry just a joke man
- khafra 7mo agoxkcd 1053, my friend.
- trostaft 7mo agoIf I'm recall correctly, this was also a keynote at MDS24? That was also a great talk, Hardt is an excellent speaker.
- loveparade 7mo agoVery 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.
- salberts 7mo agoRead 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?
- erdemo 7mo agohttps://mlbenchmarks.org/ https://mlbenchmarks.org/ This is the actual link to reach the book. There is no navigation link back to the index on the shared link.
- NeutralForest 7mo agoThanks, I had to do the same.
- pakapica 7mo agoadded to my reading list :)