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          <dc:title>Deep Continual Learning (Dagstuhl Seminar 23122)</dc:title>
          <dc:creator>Tuytelaars, Tinne</dc:creator>
          <dc:creator>Liu, Bing</dc:creator>
          <dc:creator>Lomonaco, Vincenzo</dc:creator>
          <dc:creator>van de Ven, Gido</dc:creator>
          <dc:creator>Cossu, Andrea</dc:creator>
          <dc:subject>continual learning</dc:subject>
          <dc:subject>incremental learning</dc:subject>
          <dc:description>This report documents the program and the outcomes of Dagstuhl Seminar 23122 "Deep Continual Learning". This seminar brought together 26 researchers to discuss open problems and future directions of Continual Learning. The discussion revolved around key properties and the definition of Continual Learning itself, on the way Continual Learning should be evaluated, and on its real-world applications beyond academic research.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tinne Tuytelaars and Bing Liu and Vincenzo Lomonaco and Gido van de Ven and Andrea Cossu</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 13, Issue 3 (2023)</dc:relation>
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