Jan van Gemert

Interesting question! Computer vision system diagrams seem mainly colored boxes with arrows (?)

Interesting take on the role of publication venues.

Perhaps related?

metascienceforml.github.io

The new generation of computer vision researchers might think that way about the GPUs used by Alex Krizhevsky 😉.

Are the original GPUs still around somewhere? 🤔

I'd be very interested in the longer piece.

Because.. In my opinion, at the moment this thread is too much about publicly shaming people, and not enough about arguing against the claims made.

Amazing work! This reminds me of adversarial attacks (optimize the confidence) but also of DeepDream (maximize confidence).

Also the Deep Image Prior comes to mind; ie: the bias in the architecture 🙂

If I may ask, for the brain, do you think the priors are learned? Or hard-coded (evolution)? 🤔

We created metascience for ML, metascienceforml.github.io also for PhD candidates, and a MSc course 🙂

arg min | Ben Recht | Substack arg min: a blog of minimum value. on the history, foundations, and validity of "optimally" automated decision making. Click to read arg min, by Ben Recht, a Substack publication with thousands of subs...

Ben Recht @beenwrekt.bsky.social has a brilliant blog discussing, among other things, how significant those stats are 🙂.

www.argmin.net

Classicism, as measured in years: max Before Alexnet (or min After Marr) 😉

How so? 🤔.

And how do we do Classical time keeping (?)

- 10 years BA (Before Alexnet)
- 10 years AM (After Marr)
- ... (?)

MNIST suddenly became the real world 😉

Yann knew this all along!

- Perdido street station
- Heinlein's books, if you haven't already 🙂
- Daemon
- Dragon's egg (yes, scifi, not fantasy 🙂)

Peter Watts I also recommend 🙂

- Speed of dark (related to Flowers for Algernon)
- long way to a small angry planet
- Klara and the Sun
- A psalm for the wild built, loved this robot tale
- Anathem, starts slow, but ends 🤯
- A wild sheep chase, by Murakami
- The science of Discworld, I liked a lot, albeit "science fantasy" 😊

😂 I'll need to come over during cvpr, and practice that! 😊

I always pronounce Lenet with a French accent in my Deep Learning MSc course (400 students). And I tell them it's mandatory for the exam...😊

How do I pronounce CVPR with a French accent? 🤔

Oh, but that pic brought me a whole different feeling of MO, though 😊

Ik denk dat een vd problemen is dat die obscure journals het open access publicatie geld opstrijken.

Een ander probleem kan misschien zijn dat BS nu ineens legit lijkt voor niet-vakgenoten (?).

(Ps: groot fan van uw werk 🙂)

Desirable Sins Robustness of the holdout method and paths forward for machine learning theory.

Riffing on Ed Leamer’s “sinning in the basement,” I ponder a theoretical reformation in machine learning.

(There are ImageNet scatterplots, IYKYK.)

*Machine learning theory needs a reformation, because our advice is not just ignored, but demonstrably, actively harmful.*

Wonderfully quotable!

Interesting initiative; started by frustrated scientist; for frustrated scientists.

Meet @dimadamen.bsky.social, Prof of Computer Vision at the @bristoluni.bsky.social 🏴󠁧󠁢󠁥󠁮󠁧󠁿 & ELLIS Fellow working in Multimodal Learning Systems.

She aims to inspire more women to lead in #AI by highlighting more role models.

Discover her career milestones and goals for the field.

#WomenInELLIS

(I meant more that this effect seems to be related a bit to Murphy's law 🙂, as a joke 😊. Not sure if Murphy's law is named after Murphy, that would kinda invalidate my own point 😂)

Heroes! 😊

Murphy? 🤔

This ambitious line of work is a great example of empirical theory in deep learning!

I think we need more empirical theory in ML/DL (in contrast what ML people call 'theory', which is math, but not empirical 🙂).

Metascience for ml 🙂
metascienceforml.github.io

Disrespectful.

One of my favorite albums 😊

I'm also interested! I've been thinking about Marr in times of deep learning :)

The Monodepth Monologues? ;)