๐๏ธ Paper Submission Deadline: July 11, 2025
๐ Accepted papers will be published by ACM in the workshop proceedings!
โก๏ธ Find all details & submit your work: https://t.co/7vnp7Zr63O
Key areas include:
- Novel incremental learning algorithms
- Preventing catastrophic forgetting
- Few-shot learning in medicine
- Domain adaptation for medical multimedia
- Privacy in continual learning
- Fine-tuning foundation models
The @ContinualAI Seminars are back! โพ๐ฅณ
Join us on Thursday, February 6th ๐ 6 PM CET | ๐ 9 AM PT | ๐ 12 AM ET
Let's discuss Task-Agnostic Continual Learning for the Open World with Megan Baker and @gusseppebravo
Register here ๐ https://t.co/mylItzV70v
We're happy to see such growing interest in Data-Centric and Dynamic Learning within the @MICCAI_Society community! Thank you to everybody who joined, asked great questions, and followed the hands-on tasks ๐ป All materials presented at the tutorial will be shared soon ๐
Join us this Sunday, October 6th, at the Palmeraie Palace (room Tapace) for practical advice and hands-on sessions on designing AI systems for the clinical open world ๐คฉ Starting at 13.30 pm ๐๐ฒ๐ฆ
Are you at #Miccai2024? Join us this Sunday for our tutorial 'Clinical AI in the Real-World: From Data-Centric AI to Dynamic Learning'! I'm excited to present with @NabeelSeedat01 & @camgbus as we explore methods to make healthcare AI ready for the real world ๐ฅ@MICCAI_Society
In preparation for Data-Centric Dynamic Learning at @MICCAI_Society 2024, we're hosting a seminar with the brilliant @jaeh0ng_yoon! ๐ Join us as he delves into federated continual learning agents!
๐https://t.co/DsPkWNgxZs
๐๏ธWed, August 28th
๐ 5 pm CEST
๐ 8 am PT
๐ 11 am EST
๐ Exciting News! ๐
๐ข CLVISION is back for its 5th edition at #CVPR2024 in Seattle! ๐ Join us for one of the world's largest gatherings on Continual Learning.
๐๏ธ Submit your work by March 1st, 2024.
๐ Details & more ๐
https://t.co/TBxJlAvhNO
The intersection of AI, foundation models, and regulatory changes is challenging. Fortunately, ongoing developments are actively working to bridge the gap between the limitless potential of these models and the ever-evolving world of regulatory standards ๐ก