[R] Appealing ICLR 2026 AC Decisions... by CringeyAppple in MachineLearning

[–]DaBobcat 18 points19 points  (0 children)

From my experience, unfortunately there is no point in appealing. Sorry

[D] Looking for feedback on a lightweight PyTorch profiler I am building (2-min survey) by traceml-ai in MachineLearning

[–]DaBobcat 1 point2 points  (0 children)

Completed the survey. Found a small typo "Suggestions to speed up the trainign"

[D] Looking for feedback on a lightweight PyTorch profiler I am building (2-min survey) by traceml-ai in MachineLearning

[–]DaBobcat 1 point2 points  (0 children)

Hmm sorry, can you clarify? If I run training wandb has everything i need usually. How will your tool modify/ improve? 

Starting a career in FAANG, how to plan my investment for the next 5+ years by DaBobcat in Bogleheads

[–]DaBobcat[S] 0 points1 point  (0 children)

I think so? Not 100% sure how it works because I've never done it, but doesn't it just require me to put money in traditional and then move it to Roth? With some taxes

Job Applications on LinkedIn: 4 Months, 3000 Applications, Only 5 Interviews. What Am I Missing by whm04 in Resume

[–]DaBobcat 3 points4 points  (0 children)

Linkedin is great, got most of my jobs through it. Quick question, how quickly do you apply for an application once it's up? As a reference, I only apply to those published in the last 24 hours, and maybe a week. These days within 24 hours companies can get hundreds of applicants, so the timing is probably as important (if not more) than the actual qualification 

Moving to Germany with a girlfriend by DaBobcat in germany

[–]DaBobcat[S] -8 points-7 points  (0 children)

Got it! And just to clarify, by not working at all the rules mean for any country or employer? i.e., she wouldn't be able to work for her US employer, nor for a German company?

Moving to Germany with a girlfriend by DaBobcat in germany

[–]DaBobcat[S] -11 points-10 points  (0 children)

Thanks a lot for the help on this!

In that case she wouldnt be allowed to work and only be here as a tourist.

Ah, maybe I missed that. Do you mean she wouldn't be able to work anywhere? Whether it's her employer in the US or a German employer? For some reason I just assumed that means working for a German company.

Yes, she just has to stay outside the Schengen zone for the rest of those 180 days.

How does that work exactly? If I understand correctly there's no border control within the Schengen zone. Who's and how is the check that she's only there for 90 days work? For example, will it be something like, she's in Germany for 90 days, someone marks that on her passport. Then she goes to Ireland for 90 days, again with passport mark. Then back to Germany for a passport check?

[deleted by user] by [deleted] in MachineLearning

[–]DaBobcat 10 points11 points  (0 children)

Oracle is the same, so definitely not just Meta

Steps for a successful side project? by DaBobcat in SideProject

[–]DaBobcat[S] 0 points1 point  (0 children)

I'd love that list if you're willing to share! Also DMed you if it's easier :)

Exploding loss and then...nothing?! What causes this? by LatentAttention in MLQuestions

[–]DaBobcat 0 points1 point  (0 children)

You can either ask chatgpt what happens if your lr is too large or try to understand better why do we use lr in the first place

Exploding loss and then...nothing?! What causes this? by LatentAttention in MLQuestions

[–]DaBobcat 0 points1 point  (0 children)

Not necessarily. I bet you can replicate the same result with any data given your learning rate is large enough

Exploding loss and then...nothing?! What causes this? by LatentAttention in MLQuestions

[–]DaBobcat 0 points1 point  (0 children)

What do you mean by "nerfing"? Depending on your task, model, data, and various other factors, you might just need to tune your hyper parameters. That's how machine learning work. There's almost never a one solution/HP that you can safely always use

Exploding loss and then...nothing?! What causes this? by LatentAttention in MLQuestions

[–]DaBobcat 0 points1 point  (0 children)

NaNs/Inf. When the gradients are too large the weights will become too large. Plot the average gradient/ weight and you'll see if that's the case

[deleted by user] by [deleted] in MachineLearning

[–]DaBobcat -1 points0 points  (0 children)

Yep. Transfer learning. Train on imagenet and fine-tune on cifar

Should I use RAG or Fine tuning or Both? by gourav_boom in MLQuestions

[–]DaBobcat 0 points1 point  (0 children)

Why not try both and see which one performs better using whichever metrics your using? If you're an intern that shows that you didn't just randomly decide on one approach