Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection

17 June 2025

Papers citing "Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection"

7 / 7 papers shown

Title
Adversarial Reciprocal Points Learning for Open Set Recognition Guangyao Chen Peixi Peng Xiangqian Wang Yonghong Tian 114 293 0 01 Mar 2021
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 148 195 0 06 Mar 2020
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 66 759 0 22 Oct 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 377 11,877 0 11 Jan 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,468 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 831 9,345 0 06 Jun 2015