Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners. - Mohammed Dabbah; Ran El-Yaniv (CoRR, 2021)

Which models are innately best at uncertainty estimation? - Ido Galil; Mohammed Dabbah; Ran El-Yaniv (CoRR, 2022)

A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet. - Ido Galil; Mohammed Dabbah; Ran El-Yaniv (ICLR, 2023)

What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers? - Ido Galil; Mohammed Dabbah; Ran El-Yaniv (ICLR, 2023)