Improving Out-of-Distribution Detection by Combining Existing Post-hoc
Methods

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods

9 July 2024

Yannick Prudent

Corentin Friedrich

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Papers citing "Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods"

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Title
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification L. E. Hogeweg R. Gangireddy D. Brunink Vincent J. Kalkman L. Cornelissen J. W. Kamminga OODD 54 6 0 11 Mar 2024
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation Anas Himmi Guillaume Staerman Marine Picot Pierre Colombo Nuno M. Guerreiro 412 5 0 20 Feb 2024
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 72 32 0 27 Oct 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 100 26 0 20 Jun 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 200 520 0 13 Apr 2022
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 173 225 0 16 Jun 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,356 0 08 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 117 800 0 24 Sep 2020
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 192 722 0 07 Jun 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,483 0 11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 187 2,051 0 10 Jul 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 164 3,454 0 07 Oct 2016