Learning Confidence for Out-of-Distribution Detection in Neural Networks

13 February 2018

Papers citing "Learning Confidence for Out-of-Distribution Detection in Neural Networks"

9 / 109 papers shown

Title
Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection Jonathan Aigrain Marcin Detyniecki AAML 22 30 0 22 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition Devraj Mandal Sanath Narayan Sai Kumar Dwivedi Vikram Gupta Shuaib Ahmed F. Khan Ling Shao OODD 16 141 0 18 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 24 1,131 0 10 Apr 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 40 552 0 13 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,449 0 11 Dec 2018
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Jörg Sander B. D. de Vos J. Wolterink Ivana Išgum 16 59 0 27 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 23 105 0 17 Sep 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 18 114 0 02 Jul 2018