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Seminar
Seminar: Continual Learning
Manuel Heurich
Kommentar
This seminar focuses on recent advances in ‘Continual Learning’, an increasingly important field within machine learning. Continual Learning tackles the problem of drifting data in input space and changes between input and target distribution. Static models drop significantly in performance when data distributions are subject to change over time. We will cover recent approaches that tackle this problem from different angles.
Schließen14 Termine
Regelmäßige Termine der Lehrveranstaltung
Mi, 16.04.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 23.04.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 30.04.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 07.05.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 14.05.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 21.05.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 28.05.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 04.06.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 11.06.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 18.06.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 25.06.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 02.07.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 09.07.2025 10:00 - 12:00
Seminar: Unsupervised Learning
Mi, 16.07.2025 10:00 - 12:00
Seminar: Unsupervised Learning