1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
Mehedi Hasan, Moloud Abdar, Abbas Khosravi +5
Although neural networks (especially deep neural networks) have achieved \textit{better-than-human} performance in many fields, their real-world deployment is still questionable du…
cs.LG2022★ 1 cited
Controlled Dropout for Uncertainty Estimation
Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain +2
Uncertainty quantification in a neural network is one of the most discussed topics for safety-critical applications. Though Neural Networks (NNs) have achieved state-of-the-art per…