The #ECCV2026 workshop page with links is now up! eccv.ecva.net/Conferences/...

Honered to get a selfie with our Netherlands Conference on Computer Vision (NCCV) keynote speaker! The brilliant @vickykalogeiton.bsky.social Two zealots of the Data efficiency church in the Religion of Scaling AI 🙏

This piece brilliantly explains why it's not only unnecessary to take seriously the idea that LLMs are conscious, in some cases it is ethically irresponsible.

NEW PAPER. Why do larger networks train better? "Because they contain more candidate *sub*networks that can learn the task" → lottery tickets This popular explanation uses an appealing but misleading metaphor🧵 We propose an intuitive alternative grounded in theory: escape dimensions

I'm taking this opportunity to make some advertising for an ECCV Workshop on empirical theory proposed by @jvgemert.bsky.social empiricaltheory.github.io Yes it's related. Think harder. You can connect the dots, I have faith in you 😉

"Science is not simply a sequence of tasks that can be optimized....The scientific system thrives on inefficiency: redundant efforts, failed attempts, and divergent paths. These are not costs to be eliminated but sources of discovery." Excellent essay! ⬇️ www.science.org/doi/10.1126/...

Did you know that arXiv has an official merch shop? I didn’t, but I think it’s great. 😅 www.bonfire.com/store/arxiv-...

We are hiring! We have exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with @gelovennan.bsky.social , in the Safe Causal Inference consortium. Apply now! #PhD #CausalInference #MachineLearning #Statistics careers.tudelft.nl/job/Delft-Ph...

Why is @eccv.bsky.social forcing unnecessary non-EU big tech on workshop organizers? Where should we uphold principles, if not even for top European publication venues?

Progress in academia

We're looking for a new colleague at @amlab.bsky.social: Assistant Professor in AI for Science 🔬🤖 World-class ML research, Amsterdam's thriving AI ecosystem (ELLIS, startups, big tech), and some of the best academic labor conditions in Europe ❤️ Deadline: May 30 👉 werkenbij.uva.nl/en/vacancies...

- The bitter lesson: Richard Sutton's view on AI - The butter lesson: more butter makes better food @gracekind.net - The batter lesson: crêpes are better than pancakes - The better lesson: AI can potentially improve teaching - The botter lesson: genAI takes over social media

In this incredibly detailed and gracious review of “The Irrational Decision,” @himself.bsky.social situates the book in the web of intellectual history and the war between the AI enthusiasts and skeptics.

Writing forces your brain to coordinate memory, reasoning, and meaning-making simultaneously. Every time you write, you rewire toward clearer thinking. Every time you let an LLM do it, you rewire toward consumption.

🚨 Happy to announce CVPR@Paris'26 which will take place on June 1st in Paris. The goal of the event is to share a little bit of the conference before it happens. We will have poster sessions as well as several plenary talks by world-class speakers. info: cvprinparis.github.io/CVPR2026InPa...

/s

Great post about how and why do science (and winning a best paper award is not the goal).

A day in the life of… youtu.be/T4Upf_B9RLQ?...

"In the interest of time I should agree with you. But that would just not be me." -every faculty meeting I've been to

Bibliography cleanup is known to be harder than AGI. Same with successfully connecting a laptop with a projector. It's what we humans will be doing long after the robot takeover. 😇

With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.

I'd like to propose the following norm for peer review of papers. If a paper shows clear signs of LLM-generated errors that were not detected by the author, the paper should be immediately rejected. My reasoning: 1/ #ResearchIntegrity

Inspiring, though provoking, disagreeable 😉. Great to have @lakens.bsky.social as a keynote at our third metascience for Machine Learning workshop metascienceforml.github.io

Interesting take on the role of publication venues.

Riffing on Ed Leamer’s “sinning in the basement,” I ponder a theoretical reformation in machine learning. (There are ImageNet scatterplots, IYKYK.)

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

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

Now you can either do 2 things: Adding more coils, bigger magnets, an iron core, and engineering all that until you get a useful product that changes the world. Or you can try to understand what is going on, like Michael Faraday did and as later James Clerk Maxwell formalized. I want the latter.

Do scientific papers need to be boring? 🤔

In 2016 Hinton predicted that AI would replace all radiologists in five years. Ten years later, why hasn't it happened? This post is a great explainer. www.understandingai.org/p/ai-isnt-re...

A simple argument for equivariance at scale: 1) At scale, token-wise linear layers dominate compute. 2) Token-wise linear equivariant layers implemented in the Fourier domain are block-diagonal and hence fast.

😱😱😱 @jvgemert.bsky.social are you ok? You could have told us all you were a ghost from the beginning!👻

There are diminishing returns. Stop trying to improve review quality by excessive extra work. Remember the irreducible Bayes Error: If the task has inherent subjectivity, it will not help to get better quality measurements.

🚀 Today we're launching the 'Night Science Institute', a non-for-profit organization to lead a cultural shift in science! You may say we're dreamers 😉, but we think we're not the only ones. Perhaps today you will join us to make the Day Science and Night Science parts of the process live as one!

Guilty 😅

Great post on anti-bureaucracy, machine learning theory, and pull requests.

The biggest publishers pulled profit margins in 2023 that rival Big Tech. And they still charge you to publish and your library to read. When are we going to start seriously thinking of alternatives to reform #PeerReview? 🧪 #SciPub #AcademicPublishing

The NeurIPS paper checklist corroborates the bureaucratic theory of statistics.

Our computer vision textbook is now available for free online here: visionbook.mit.edu We are working on adding some interactive components like search and (beta) integration with LLMs. Hope this is useful and feel free to submit Github issues to help us improve the text!

Instead of meeting in the home country, we do it in a country far away 🙂

"Academia is built upon a foundation of review. It is messy, decentralized collective decision making that selects a group of people and their writing into a canon of thought."

Worth your time to read this characteristically thoughtful blog post by Leon Bottou on LLM research. leon.bottou.org/news/two_les...

Amazing work on evaluating LLM evaluation.

Evaluating evaluation 🙂

Uhhh, hi! It's me, Bookshop.org, a place to buy books online where every purchase financially supports indie bookstores instead of some billionaire.

⏳Only 1 day left to submit your reviews! ⚠️Late or careless reviews won’t be taken lightly — authors of such reviews risk having their own submissions desk rejected. Please be fair and responsible!🙂

In today's episode of the Night Science Podcast we talk with Martin Schwartz from Yale about the importance of stupidity in science: while learning science makes you feel smart, true scientific discovery often involves feeling stupid, because it means venturing into the unknown.

Don’t be that person—take your #ICCV2025 reviewer responsibilities seriously.