26 citations · 42 across the 4 of their papers we have counts for
4 papers
LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
Or Bachar, Or Levi, Sardhendu Mishra +6
As LLMs are increasingly integrated into human-in-the-loop content moderation systems, a central challenge is deciding when their outputs can be trusted versus when escalation for…
Semi-supervised Anomaly Detection using AutoEncoders
Manpreet Singh Minhas, John Zelek
Anomaly detection refers to the task of finding unusual instances that stand out from the normal data. In several applications, these outliers or anomalous instances are of greater…
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces
Manpreet Singh Minhas, John Zelek
Humans can easily detect a defect (anomaly) because it is different or salient when compared to the surface it resides on. Today, manual human visual inspection is still the norm b…
Anomaly Detection in Images
Manpreet Singh Minhas, John Zelek
Visual defect assessment is a form of anomaly detection. This is very relevant in finding faults such as cracks and markings in various surface inspection tasks like pavement and a…