A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning

1 June 2024

Papers citing "A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning"

3 / 3 papers shown

Title
Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction Lin Wang 90 0 0 17 Oct 2025
RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection Yiming Huang Junyan Zhang Zihao Wang Biquan Bie Xuming Hu Yi R. Fung 247 0 0 21 May 2025
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 651 504 0 17 Jun 2020