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cs.LG2025
Anomalous Samples for Few-Shot Anomaly Detection
Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz +1
Several anomaly detection and classification methods rely on large amounts of non-anomalous or "normal" samples under the assump- tion that anomalous data is typically harder to ac…
cs.LG2024
On Transfer in Classification: How Well do Subsets of Classes Generalize?
Raphael Baena, Lucas Drumetz, Vincent Gripon
In classification, it is usual to observe that models trained on a given set of classes can generalize to previously unseen ones, suggesting the ability to learn beyond the initial…