GROOD: Gradient-Aware Out-of-Distribution Detection

22 December 2023

Papers citing "GROOD: Gradient-Aware Out-of-Distribution Detection"

6 / 6 papers shown

Title
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 169 150 0 20 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 58 52 0 18 Sep 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 266 31,267 0 16 Jan 2013