ersiees

12 ms·

31.
by ersiees 4y ago
Why do we call people expats and not rich migrants or something like that?
32.
by ersiees 4y ago
What about inside trade? Isn’t there a big risk that people at institutions you use as source take bets last minute before they announce the critical information? Or maybe even change what they publish (maybe pretending it to be an honest m
33.
by ersiees 4y ago
Can I also trade “Will Chelsea win against Barcelona next weekend?”
34.
by ersiees 4y ago
I can’t stand this twitter behaviour: something new comes out, they try to find examples where it fails and say it is generally bad because of these failures. Have some respect for the work of others.
35.
by ersiees 4y ago
Not
36.
by ersiees 4y ago
We did try it a bit a while back, but did not have conclusive results. I expect you can bend it to perform better for larger datasets, too, but how exactly I cannot say for sure. The bootstrapping is definitely a good candidate for this.
37.
by ersiees 4y ago
Yeah, we also find this interesting. Arguably, though, GP is far worse in all metrics. Thus, it is not really our closest competition.
38.
by ersiees 4y ago
Hey there! I am one of the authors on this paper. If there are any questions, I am happy to answer :)
39.
by ersiees 4y ago
Yes, good point! The paper I am responsible for is targeted at smaller datasets, but I will propose this to the authors of the second paper :)
40.
by ersiees 4y ago
The first work, I linked, arguably gets around this issue completely. There we train a neural network to approximate Bayesian prediction directly. It accepts the dataset as input. Thus, there is no optimisation procedure per dataset, just a
41.
by ersiees 4y ago
Our lab works on changing this. I think it might still take some years for a full solution, but so far we are successful with NNs for small datasets with meta-learning ( https://arxiv.org/abs/2207.01848 ) and large datas
42.
by ersiees 4y ago
From working in a company providing neural network inference as a service, I can attest you, that we did this. We did it especially since we are scared people distill on our results. If the other service makes the same weird mistake, they d
43.
Transformers can be trained to approximate Bayesian Inference(arxiv.org)
2 points by ersiees 5y ago|0 comments
44.
by ersiees 5y ago
There also are new application libraries (torch vision, audio, X) being released together with 1.10: https://pytorch.org/blog/pytorch-1.10-new-library-releases/
45.
by ersiees 5y ago
Can I use this to run my own COVID-19 tests for cheap?
46.
by ersiees 6y ago
What a weird assumption.
47.
by ersiees 6y ago
The real comparison would have been between Cifar-10 (or Imagenet) and a downsampled version there of, not upsampled, and I actually know for sure that this harms performance.. So this ideal world and real world training are definitely not
48.
by ersiees 6y ago
You might have missed the production of EVs that causes more CO2 than that of diesel cars.
49.
by ersiees 6y ago
I really like this critique of environmentalism, as an environmentalist myself. While I think it should have ended with an argument in favour of some sustainability law, like a carbon dioxide tax, it clearly remembers us that still we are s
50.
Show HN: DeepL, a Smarter Google Translate(deepl.com)
3 points by ersiees 6y ago|0 comments
51.
by ersiees 6y ago
You might like: https://transformer.huggingface.co The GPT-2 model is very similar to GPT-3 just smaller.
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Artificial Babies on the Internet(uncoolis.cool)
3 points by ersiees 6y ago|0 comments
53.
by ersiees 6y ago
I don’t understand. Why would Facebook or Twitter support that? Isn’t it only bringing their monopolies in danger? Could someone explain, please.
54.
by ersiees 6y ago
I use an iPad (Not pro), which also supports Apple Pencil by now and costs only a few hundred euros. That works very well, too.
55.
by ersiees 6y ago
Interesting idea! Future Me: A computer became better at my job, but I might still claim that it is not generally intelligent because it does not have the same kind of relationships to humans I have.
56.
by ersiees 6y ago
I would really like a thorough analysis on how expensive it is to multiply large matrices, which is the most expensive part of a transformer training for example according to the profiler. Is there some Moore’s law or similar trend?
57.
by ersiees 7y ago
I wonder if Zeit, people with machine learning background, could do to help given open data. Is there some open source project or so to contribute to that does something helpful e.g. predicting cases or areas at risk?
58.
by ersiees 7y ago
No, there is the letter b indicating the payoff multiplier. So you should not bet if in expectation you lose on the bet, which seems intuitive.
59.
by ersiees 7y ago
I guess the difference here is that a decentralised order book on the block chain would be run by every node, which is why compute in the blockchain (gas) is quite expensive.
60.
by ersiees 8y ago
This would actually make me delete my Facebook account finally, if I can message all people on Facebook through WhatsApp.

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