🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Had a fantastic time at #CVPR2025 and my spotlight talk on culturally representative T2I models at the DemoDiv workshop was definitely the highlight Thanks Polina Kirichenko and all the organizers, attendees and panelists for a super engaging & thought provoking workshop!

Thanks for sharing our work as well! We totally agree! We also tried to mitigate this issue by mixing a small amount of data during training. But definitely more can be explored in this direction!

Very excited this exists. A hill to climb on one of the traits I listed as super needed for next-gen models :)

I had a great time last week at #CVPR2025's DemoDiv workshop (slides below)! I shared an overview of geographic biases in modern datasets and the vast consequences across ML tasks. I argued that existing tools won't be sufficient to solve this problem, and gave some initial ideas

nice to see (QA)^2 included here, false presupposition Qs still going strong! every now and then i sit down and see how long it takes to come up with a Q that leads to fun invalid accommodations (my fav recent example in 🧵for the nerds), and the answer is always not very long...

Are you a graduate student in #Ukraine interested in machine learning and neuroscience? My research lab at #UofT is now accepting applications for remote thesis supervision. (1/3) #neuroAI #compneuro Vector Institute University of Toronto U of T Department of Computer Science University Health Network

STAMP offers strong protection, can successfully detect membership of content that appears only once in the training data & constitutes < 0.001% of the total tokens. Work led by Saksham Rastogi, in collab w/ Pratyush Maini. Paper: arxiv.org/abs/2504.13416

In our new ICML paper, we show that popular families of OOD detection procedures, such as feature and logit based methods, are fundamentally misspecified, answering a different question than “is this point from a different distribution?” arxiv.org/abs/2507.01831 [1/7]

Check out Yucen Lily Li's ICML poster tomorrow 11 am - 1:30 pm, East Exhibition Hall A-B # E-603, on "Out-of-Distribution Detection Methods Answer the Wrong Questions"!

The code and model weights for this paper are finally open! Despite being a little late for releasing them, I hope you will find them useful! Code: github.com/facebookresear… Models: - (ViT-G): huggingface.co/lavoies/llip-v… - (ViT-B): huggingface.co/lavoies/llip-v…

Does how we talk about AI matter? Yes, yes it does! In our #Cogsci2025 paper, we explore how different messages affect what people believe about AI systems. See 🧵for more! Paper: allisonchen.us/assets/portray…