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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.LG2022★ 1 cited
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali, Vincent Gripon, Lucas Drumetz +1
We consider a novel formulation of the problem of Active Few-Shot Classification (AFSC) where the objective is to classify a small, initially unlabeled, dataset given a very restra…