Mohammed Dabbah

According to our database, Mohammed Dabbah authored at least 4 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet.

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Which models are innately best at uncertainty estimation?

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

CoRR, 2022

2021

Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners.

Mohammed Dabbah, Ran El-Yaniv

CoRR, 2021