Stable continual learning through structured multiscale plasticity manifolds
Sign Up to like & getrecommendations! Published in 2021 at "Current opinion in neurobiology"
DOI: 10.1016/j.conb.2021.07.009
Abstract: Biological plasticity is ubiquitous. How does the brain navigate this complex plasticity space, where any component can seemingly change, in adapting to an ever-changing environment? We build a systematic case that stable continuous learning is… read more here.
Keywords: continual learning; stable continual; plasticity manifolds; multiscale plasticity ... See more keywords
A tensor framework for learning in structured domains
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.05.110
Abstract: Abstract Learning machines for structured data (e.g., trees) are intrinsically based on their capacity to learn representations by aggregating information from the multi-way relationships emerging from the structure topology. While complex aggregation functions are desirable… read more here.
Keywords: framework learning; learning structured; framework; structured domains ... See more keywords
Segment 2D and 3D Filaments by Learning Structured and Contextual Features
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2016.2623357
Abstract: We focus on the challenging problem of filamentary structure segmentation in both 2D and 3D images, including retinal vessels and neurons, among others. Despite the increasing amount of efforts in learning based methods to tackle… read more here.
Keywords: contextual features; structured contextual; learning structured; filaments learning ... See more keywords