17 citations · 17 across the 4 of their papers we have counts for
4 papers
Position: Modular Memory is the Key to Continual Learning Agents
Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov +21
Foundation models have transformed machine learning through large-scale pretraining and increased test-time compute. Despite surpassing human performance in several domains, these…
Benchmarking Video Foundation Models for Remote Parkinson's Disease Screening
Md Saiful Islam, Ekram Hossain, Abdelrahman Abdelkader +11
Video-based assessments offer a scalable pathway for remote Parkinson's disease (PD) screening. While traditional approaches rely on handcrafted features mimicking clinical scales,…
Temporal Chunking Enhances Recognition of Implicit Sequential Patterns
Jayanta Dey, Nicholas Soures, Miranda Gonzales +3
In this pilot study, we propose a neuro-inspired approach that compresses temporal sequences into context-tagged chunks, where each tag represents a recurring structural unit or``c…
Continual Learning: Applications and the Road Forward
Eli Verwimp, Rahaf Aljundi, Shai Ben-David +17
Continual learning is a subfield of machine learning, which aims to allow machine learning models to continuously learn on new data, by accumulating knowledge without forgetting wh…