5 citations · 5 across the 4 of their papers we have counts for
5 papers
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
Alon Zolfi, Guy Amit, Amit Baras +4
Out-of-distribution (OOD) detection has attracted a large amount of attention from the machine learning research community in recent years due to its importance in deployed systems…
The Security of Deep Learning Defences for Medical Imaging
Moshe Levy, Guy Amit, Yuval Elovici +1
Deep learning has shown great promise in the domain of medical image analysis. Medical professionals and healthcare providers have been adopting the technology to speed up and enha…
Fair and accurate age prediction using distribution aware data curation and augmentation
Yushi Cao, David Berend, Palina Tolmach +5
Deep learning-based facial recognition systems have experienced increased media attention due to exhibiting unfair behavior. Large enterprises, such as IBM, shut down their facial…
FOOD: Fast Out-Of-Distribution Detector
Guy Amit, Moshe Levy, Ishai Rosenberg +2
Deep neural networks (DNNs) perform well at classifying inputs associated with the classes they have been trained on, which are known as in distribution inputs. However, out-of-dis…
GIM: Gaussian Isolation Machines
Guy Amit, Ishai Rosenberg, Moshe Levy +3
In many cases, neural network classifiers are likely to be exposed to input data that is outside of their training distribution data. Samples from outside the distribution may be c…