Generalising realisability in statistical learning theory under epistemic uncertainty

22 February 2024

Papers citing "Generalising realisability in statistical learning theory under epistemic uncertainty"

3 / 3 papers shown

Title
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 80 12 0 28 Jan 2025
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning Pengyuan Lu Michele Caprio Eric Eaton Insup Lee VLM 47 3 0 04 Oct 2023
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 212 888 0 02 Mar 2020