2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling
Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou +3
Detecting whether examples belong to a given in-distribution or are Out-Of-Distribution (OOD) requires identifying features specific to the in-distribution. In the absence of label…
cs.LG2020★ 2 cited
Unsupervised Anomaly Detection From Semantic Similarity Scores
Nima Rafiee, Rahil Gholamipoor, Markus Kollmann
Classifying samples as in-distribution or out-of-distribution (OOD) is a challenging problem of anomaly detection and a strong test of the generalisation power for models of the in…