Cargando…
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Modern deep neural networks are well known to be brittle in the face of unknown data instances and recognition of the latter remains a challenge. Although it is inevitable for continual-learning systems to encounter such unseen concepts, the corresponding literature appears to nonetheless focus prim...
Autores principales: | Mundt, Martin, Pliushch, Iuliia, Majumder, Sagnik, Hong, Yongwon, Ramesh, Visvanathan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028364/ https://www.ncbi.nlm.nih.gov/pubmed/35448220 http://dx.doi.org/10.3390/jimaging8040093 |
Ejemplares similares
-
Coherent noise enables probabilistic sequence replay in spiking neuronal networks
por: Bouhadjar, Younes, et al.
Publicado: (2023) -
Replay
por: Gelatti, Luciane Cristina, et al.
Publicado: (2014) -
Record and Replay
por: Simon, Michal Kamil
Publicado: (2022) -
AUTHOR'S REPLAY
por: Felberg, Karina
Publicado: (2013) -
Let’s replay
por: Rasch, Björn
Publicado: (2018)