We are just 2 weeks away from kicking off #ECCV2026 and thrilled to share our exciting program with you all! This year we will have 3 keynotes from @ylecun, @Jamie_Shotton and Kristen Grauman, as well as 2 timely panels on AI in research!
Stay updated on https://t.co/WSoiwuIAzj
Excited to share that I'll be starting as a junior professor and Emmy Noether awardee at the University of Göttingen this October! 🥳
🚀 I'll be hiring PhD students and postdocs across both ML and CogSci: https://t.co/SWO5gf4Y57
Please spread the word! 🙏
Salient Knowledge Pathways: Sparse Cross-Modal Routing for Efficient Knowledge-Intensive Multimodal Question Answering
Noor Islam S. Mohammad, Uluğ Bayazıt
https://t.co/cQ8BDjwiUe [𝚌𝚜.𝙰𝙸]
https://t.co/ZR4U2vwbuM
Scaling law for RL that connects rewards and pretraining loss, RL compute, on a synthetic (chess moves) setting. It also leads to the answer to the very interesting question, given fixed compute, what is the optimal allocation between pretraining and RL.
🤯 The difference between #ICLR2026 and #ICML2026 poster sessions is wild!
Maybe that's what happens when thousands of researchers have to fly 20+ hours just to discuss posters
(just a fun image below)
In Seoul for ICML 2026 🇰🇷 Looking to connect with researchers for collaboration, research internship opportunities, and a prospective Ph.D. (Fall 2027). If you’re attending ICML or based in Seoul, let’s connect! 🤝
#ICML2026#AI#MachineLearning#Research#PhD#Internship
We’re happily gathered in conference hall C1 for the exciting oral presentation of ICML-2026! 🇰🇷 My wonderful colleagues from China 🇨🇳 are also here with us.
For Seoulmaxxing @ ICML!
(New Updates)
- Naver Map: https://t.co/PVNcFdJHHu
- Vegetarian-Friendly Places: https://t.co/qezzmuq5Il
Check out the website for the latest updates and more details!
https://t.co/AdN1sHMg1I
SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization
Noor Islam S. Mohammad, Ulug Bayazit
https://t.co/mlI6QRzNhX [𝚌𝚜.𝙲𝙻 𝚌𝚜.𝙰𝙸]
NeurIPS 2026 is recruiting Ethics Reviewers!
If you have experience critically evaluating potential risks and harms in machine learning research, and can provide thoughtful feedback on broader impacts, please read our Call for Reviewers (https://t.co/vkrxGLi5A6) and consider volunteering as an ethics reviewer. You can directly volunteer by filling the form here: https://t.co/lLao3AjqFq
Please share with your qualified and interested colleagues. As the scale of the conference continues to grow, so we are always seeking to grow our pool of ethics reviewers.
The Faithfulness Gap: Certifying Semantic Equivalence Between Natural-Language and Formal Mathematical Statements
Noor Islam S. Mohammad, Tamim Sheikh
https://t.co/2RqmzLghjv [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]