0xab

4 ms·

1.
by 0xab 1y ago
> When VLMs make errors, they don't make random mistakes. Instead, 75.70% of all errors are "bias-aligned" - meaning they give the expected answer based on prior knowledge rather than what they actually see in the image. Y
2.
by 0xab 2y ago
Datasets need to stop shipping with any training sets at all! And they should forbid anyone from using the test set to update the parameters of any model through their license. We did this with ObjectNet ( https://objectnet.dev&#x
3.
by 0xab 7y ago
I'm the lead author of the paper you cited. Glad you enjoyed our work :) Sure, you can break systems. That doesn't mean that they aren't useful! In many cases a system will see the same boring input many times over. People ar
4.
by 0xab 7y ago
> merely a student or professor, but can get a job at or create their own a startup or big company or meaningful open source project of their own. Hey! Professors do meaningful things too :) > The real downfall of icfp is that in the
5.
by 0xab 7y ago
Years ago we had a lot of good problems. Not just 2006, but 2007 was great too where you had secret messages to save Endo. 2008 at least had you doing some fun things with the rover. 2014 you programmed a fun machine. One of the years was a
6.
by 0xab 7y ago
There's so much wrong with this. HIPAA doesn't talk about US citizens or distinguish different types of records based on any properties of the people that those records cover. The words citizen do not appear in HIPAA or HITECH. HI
7.
by 0xab 7y ago
If you use lens as just a way to access records like you do in other languages, then there is absolutely nothing hard about it. Literally all you need to know is: Name your records like "data Prefix = Prefix { prefixFieldName :: ... }&
8.
by 0xab 7y ago
There's a control group. Both groups were watched by the experimenters. Not only that, the same teachers had students in both groups in different classes.
9.
by 0xab 7y ago
This is a huge problem throughout science, not just ML. As scientists, we're rewarded for publishing cool new things that work, not for pointing out things that don't or for pointing out flaws in existing papers. If the point is t
10.
by 0xab 7y ago
I agree, they should do one or the other. The imbalance is totally artificial and objectionable though. Where's the evidence that doctors see a 80/20 split in real life? If there is going to be an imbalance they should make it ref
11.
by 0xab 7y ago
I do research in computer vision and this paper is so bad it's beyond words. * They give the network is huge advantage: they teach it that it should say "no" 80% of the time. The training data is unbalanced (80% no vs 20% yes
12.
by 0xab 9y ago
That's a common misconception. She did not do jail time for insider trading. She almost certainly would have gotten away with it. The problem is she lied to a federal agent while trying to hide her inside trading. That's what they
13.
by 0xab 12y ago
In terms of immigrants as a percentage of population the US is nothing special. Canada has a lot more (closer to 19% instead of 14%). Many European countries have statistics similar to that of the US (Sweden has a bit more, the UK a bit les