🔥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

If you're at #CoLLAs2024 do not hesitate to come and say hi, I'll be at poster 25 !

New paper on arXiv today. We study the problem of explaining with simple sentences the errors made by computer vision models - to "debug" their performance into the wild. Work led by Gabriela Csurka, with Tyler Hayes and Diane Larlus (amazing team 🚀) Paper: arxiv.org/abs/2408.04471

I will present our study on Multilingual Retrieval-augmented generation, tomorrow at #ACL2024NLP workshop on Knowledgeable LLMs, 16:00 (poster hall)! Come to discuss a multilingual extension of our BERGEN library: github.com/naver/bergen arxiv.org/abs/2407.01463 #NLProc

🎉 Proceedings of the 1st ContinualAI Unconference are out: proceedings.mlr.press/v249/ Papers followed a two-stage pre-registration process. Very refreshing to read about the positive & negative outcomes! ⭐️24 hours of amazing talks are also recorded here: youtube.com/playlist?list=…

Want to distill diverse visual encoders into a universal one that outperforms all original ones? Then check out our #ECCV2024 paper! UNIC: Universal Classification Models via Multi-teacher Distillation europe.naverlabs.com/unic A quick summary 🧵 (1/6)

Our #ECCV2024 poster freshly up, and already some visitors! M.Bülent Sarıyıldız and Weinzaepfel Philippe in action explaining our work on multiteacher distillation - see you at poster #10 !

We presented the poster at the eXCV workshop at #ECCV2024 . Thank you to people stopping by. If you missed it and you are interested in explainability in CV (#xAI) here is our poster.

Using LLMs to explain why vision models fail in certain images, from colleagues at NAVER LABS Europe, recommended 😀

Our Continual Causality Bridge is going into its 3rd edition at AAAI-25 AAAI ! 🎉 Join us for a spectacular 2 days of continual learning & causality by submitting your original 4 page work (for proceedings or non-archival tracks) until Nov 25 AOE! continualcausality.org/cfp/

🌟 Keynote Spotlight from CoLLAs 2024 🌟 In "Lifelong Visual Representation Learning," Diane Larlus (Diane Larlus) dives into continual learning for computer vision 🖼️ and explores how large pre-trained models are reshaping the field. She addresses challenges like catastrophic

📢 Job Alert 📢 NAVER LABS Europe My team is looking for a Research Scientist in Visual Representation Learning - More info tinyurl.com/3jz935fk

🔥More Continual Learning meets Causality 🔥 In addition to our call for papers (by Nov 25), our Continual Causality Bridge at AAAI-25 has now opened the first continual confounding challenge! Submit challenge solutions by Jan 7 on Kaggle! More info: continualcausality.org/challenge/

I’m hiring 2 fully-funded PhD students to join our new Lifelong ML lab at the University of Bremen, where our mission is to make ML/AI more sustainable, adaptive, robust & inclusive. Application deadline Dec. 10: uni-bremen.de/en/university/… Please share & reach out with questions!

I'm excited to announce that I’ve joined Georgia Tech as a Research Faculty Member and Research Scientist! 🐝 I’m thrilled to begin researching AI for Science. Here's to new challenges and opportunities ahead! 🎉 #AIforScience #GeorgiaTech #GoJackets

The number of times I go to open the Duo Authenticator (2FA) app and default to opening Duolingo is higher than I would like to admit 🦉

📢 OWAD @ IEEE ICDM 2025 🔍 Workshop on Open World Anomaly Detection in Dynamic and Evolving Environments 🗓️ Deadline: Aug 29, 2025 📍 Washington, DC 📚 Topics: anomaly detection, continual learning, & more 🌐 sites.google.com/view/icdm2025-… #MachineLearning #AnomalyDetection #ICDM2025