Published in: Dagstuhl Reports, Volume 13, Issue 3 (2023)
Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, and Andrea Cossu. Deep Continual Learning (Dagstuhl Seminar 23122). In Dagstuhl Reports, Volume 13, Issue 3, pp. 74-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@Article{tuytelaars_et_al:DagRep.13.3.74,
author = {Tuytelaars, Tinne and Liu, Bing and Lomonaco, Vincenzo and van de Ven, Gido and Cossu, Andrea},
title = {{Deep Continual Learning (Dagstuhl Seminar 23122)}},
pages = {74--91},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2023},
volume = {13},
number = {3},
editor = {Tuytelaars, Tinne and Liu, Bing and Lomonaco, Vincenzo and van de Ven, Gido and Cossu, Andrea},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.3.74},
URN = {urn:nbn:de:0030-drops-192298},
doi = {10.4230/DagRep.13.3.74},
annote = {Keywords: continual learning, incremental learning}
}
Published in: Dagstuhl Reports, Volume 9, Issue 1 (2019)
Marie-Francine Moens, Lucia Specia, and Tinne Tuytelaars. Joint Processing of Language and Visual Data for Better Automated Understanding (Dagstuhl Seminar 19021). In Dagstuhl Reports, Volume 9, Issue 1, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
@Article{moens_et_al:DagRep.9.1.1,
author = {Moens, Marie-Francine and Specia, Lucia and Tuytelaars, Tinne},
title = {{Joint Processing of Language and Visual Data for Better Automated Understanding (Dagstuhl Seminar 19021)}},
pages = {1--27},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2019},
volume = {9},
number = {1},
editor = {Moens, Marie-Francine and Specia, Lucia and Tuytelaars, Tinne},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.1.1},
URN = {urn:nbn:de:0030-drops-105673},
doi = {10.4230/DagRep.9.1.1},
annote = {Keywords: multimodal learning, representation learning, computer vision, natural language processing, machine learning}
}