Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing

1 code implementation • 11 Apr 2023 • Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi

In this paper, we present a systematic review of the prediction with the reject option in the context of various neural networks.

Controlled Dropout for Uncertainty Estimation

no code implementations • 6 May 2022 • Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi

In this study, we present a new version of the traditional dropout layer where we are able to fix the number of dropout configurations.

Uncertainty Quantification