Writing code on a bumpy train and tried stabilizing the display image to my head -- it does (surprisingly) make things a bit easier to read but overall feels too weird to actually use.
Writing code on a bumpy train and tried stabilizing the display image to my head -- it does (surprisingly) make things a bit easier to read but overall feels too weird to actually use.
Congrats Dr. Edstedt!
wacv assigned paper kinda random :/
After seeing first hand a review starting with "here's a reviewer for the paper ....." I am not surprised
How much time is too much time spent just to visualize things happening instead of using print statements ?
I am once again pitching my romantic comedy:
- two academics start dating
- discover they are each other's terrible reviewer
- hijinks ensue
Working title: Love is Double-Blind
I love when weights go nan
Sooooooo... no rebuttals ?
found him
O
/|\
/ | \
/ \ "-e"
/ \
Guess the preliminary recommendation.
Borderline Reject haha
I reviewed a paper that proposed a dataset generated by GPT4o.
One of the other reviews started with: “Okay, here is a structured review draft for the XXXXXX paper, reflecting the points we've discussed and adopting a "Borderline Accept" stance:”
It’s LLM reviewing LLM used to train LLMs
That made me happier than I thought it would
Behind every great conference is a team of dedicated reviewers. Congratulations to this year’s #CVPR2025 Outstanding Reviewers!
cvpr.thecvf.com/Conferences/...
What to do when R3 starts with:
“Okay, here is a structured review draft for …”
I need a way to schedule whatsapp messages
I hope it can do bicubic interpolation on apple silicon
Are you tired of context-switching between coding models in @pytorch.org and paper writing on @overleaf.com?
Well, I’ve got the fix for you, Neuralatex! An ML library written in pure Latex!
neuralatex.com
To appear in Sigbovik (subject to rigorous review process)
it is :/
Is opencv-python-headless that big ?
Error: A Serverless Function has exceeded the unzipped maximum size of 250 MB
Why does PyTorch lightning’s `all_gather` function can also pull gradients from other GPUs, and Torch’s `all_gather` can't ?
finally fixed my website
Maybe weird dataset samples randomly sampling batches ?
Not _exactly_ what I do, but related in a way I found it very interesting
CVPR paper assignment for review was right on point for me
Yeah haha I was looking at the photos and I thought “oh that ones looks difficult”
DepthPro btw