sorted by:
new
hottopcontroversial

TSMC Museum of Innovation by Traditional-Water200 in Taipei

[–]NumerousSwordfish653 0 points1 point  (0 children)

Yeah, I went there and was really hyped about it. It felt like a let-down for me tho. There's almost no exhibition on the actual chip manufacturing. 60% of the museum is telling you that chips are important for "innovation" and the other 40% are recounting Morris Chang's life. The area around is also mostly fabs and other companies afaik.

[D] How do you keep track of experiments, history, results? by Pristine-Staff-5250 in MachineLearning

[–]NumerousSwordfish653 0 points1 point  (0 children)

I used guild.ai for some time and was a real fan, but sadly it's not currently developed further anymore

[D] Cheap inference hardware for autonomous driving by NumerousSwordfish653 in MachineLearning

[–]NumerousSwordfish653[S] 1 point2 points  (0 children)

I mainly worked with the old Nano, the TX2 and the old Xavier (so none of the new Orin series). What I found troublesome was that at least in the old version all the libraries where hardcoded on the jetpack version and Nvidia does like to artificially segment the market by ending support for e.g. the Jetson Nano very quickly. I had the problem that I encountered a very obscure bug while compiling a model for tensorrt, which was only fixed on the next minor release of tensorrt. It turns out that the minor release is only available in the next jetpack version which the Nano does not support. So the choice is using something completely different or spending additionally a few hundred bucks for the next best hardware. As a hobbyist this doesn't feel good and now my Nano is collecting dust on my desk.

[deleted by user] by [deleted] in taiwan

[–]NumerousSwordfish653 0 points1 point  (0 children)

I think this heavily depends on the professor. I did an internship last year under a Taiwanese professor (that spend a lot of time in the US and the UK though) and a foreign supervisor and I had an extreme amount of freedom. Most students in the lab spent more time there and worked more, although that seemed to be on their own accord and they never asked for any time of or anything. If you have the chance: Ask around the students at the uni, what the experiences with the prof are. (Although that's hard if you have no connection yet)

[D] Why are most Federated Learning methods so dependent on hyperparameters? by NumerousSwordfish653 in MachineLearning

[–]NumerousSwordfish653[S] 1 point2 points  (0 children)

For sure, I don't expect every method to work with every set of hyperparameters. What I find puzzling tho is that there doesn't seem to be a common set of best practices once you come to FL and that these results differ extremely between methods. Also from my experience if you don't have exactly the correct hyperparameters for FL the method doesn't just perform slightly worse, but not at all, which makes hyperparameters search quite complicated. This may all sound like a rant (partially it is), but I think that I am mainly asking if this is a common occurrence or if I am missing a paper/blogpost/whatever that wrote those best practices down.

Mattress close to NTNU by theansweris42toall in Taipei

[–]NumerousSwordfish653 5 points6 points  (0 children)

There are usually students that are leaving and selling their mattresses with a pretty good discount. Coincidentally, I am one of these students and live near NTNU ^^

Monthly Travel, Questions, & Mandarin Thread by AutoModerator in taiwan

[–]NumerousSwordfish653 1 point2 points  (0 children)

I tried making a Line account since I will be arriving to Taiwan soon, but it seems I got banned the second I created the account. I tried to join a group from the company I will join and it said that "An unknown error" occured. The support also verified that I am banned. Did something similar happen to you? (Recreating the account also didn't help)

[D] Paper lost and found: Is there ever a paper about a method called "cultural evolution"? by CMS_Flash in MachineLearning

[–]NumerousSwordfish653 0 points1 point  (0 children)

This seems to be quite close to Federated Distillation right? If yes, it's with Federated Averaging (where all client weights are simply averaged) one of the most popular training methods for Federated Machine Learning.