Papers citing 'A Variational Dirichlet Framework for Out-of-Distribution Detection'

Title
Resisting Out-of-Distribution Data Problem in Perturbation of XAI Luyu Qiu Yi Yang Caleb Chen Cao Jing Liu Yueyuan Zheng H. Ngai J. H. Hsiao Lei Chen 186 19 0 27 Jul 2021
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN Yilin Shen Wenhu Chen Hongxia Jin UQCV BDL 138 5 0 16 Oct 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney Basel Alomair AAML 314 48 0 16 Mar 2020
Combining Model and Parameter Uncertainty in Bayesian Neural Networks A. Hubin G. Storvik UQCV BDL 163 13 0 18 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 387 784 0 28 Jan 2019