Our paper “Distribution-Aware Replay for Continual MRI Segmentation” got accepted the Workshop Personalized Incremental Learning in Medicine at MICCAI 2024, with proceedings to be published in Lecture Notes in Computer Science (LNCS), Springer. In the paper, we demonstrate that a small generative model (a variational… Read More »”Distribution-Aware Replay for Continual MRI Segmentation” accepted at PILM-MICCAI 2024

We are very honored and grateful that our paper “Deep Classifier Mimicry without Data Access” has received an Outstanding Student Paper Highlight award at AISTATS 2024. In the paper, we introduce a method to distill a deep classifiers knowledge without making assumptions on model structure… Read More »We received the AISTATS 2024 outstanding student paper highlight

Our paper “Masked Autoencoders are Efficient Continual Federated Learners” got accepted for publication at the Conference on Lifelong Learning Agents (CoLLAs) 2024! In the paper we investigate the challenging task of unsupervised continual learning in federated (distributed) scenarios. Our key motivation is that even if… Read More »“Masked Autoencoders are Efficient Continual Federated Learners” accepted at CoLLAs 2024

Our paper “Deep Classifier Mimicry without Data Access” got accepted at the International Conference on Artificial Intelligence and Statistics (AISTATS) 2024. We are honored to have been selected for an oral presentation!

Our paper “Adaptive Rational Activations to Boost Deep Reinforcement Learning” was accepted at the International Conference on Learning Representations (ICLR) 2024. We are honored to have been selected for a spotlight presentation!

Following the in-person European Summer School on AI (ESSAI) in Ljubljana, Slovenia from July 24-28. 2023, the recordings for the 5-day course on “Machine Learning Beyond Static Datasets” have now been made publicly available.

We are delighted to welcome Qi Li as a research assistant in the OWLL group. In the process of working on her Master’s degree, Qi will spend the next year exploring continual learning models for climate within the recently granted project CAIMAN: “Continual Artificial Intelligence… Read More »Qi Li joins as research assistant for project CAIMAN

Our paper title “Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation” has been accepted for publication at the Winter Conference on Applications of Computer Vision (WACV). The paper tackles the challenging real-world task to semantically segment cracks in concrete infrastructure.… Read More »“Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation” accepted at WACV 2024

MICCAI 2023 is hosting the DAICOW tutorial on October 12st 2023: the 1st MICCAI tutorial on dynamic and continual AI for medical imaging. As part of the tutorial, Martin Mundt talks about the “Pillars of Forgetting & Lifelong Evaluation”. If you have missed the tutorial… Read More »Tutorial at MICCAI 2023 -“Pillars of Forgetting & Lifelong Evaluation”

The recently accepted Queer in AI paper titled “Queer in AI: A case Study in Community-led Participatory AI” has received the best paper award at the ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2023.