Model-agnostic out-of-distribution detection using combined statistical
tests

Model-agnostic out-of-distribution detection using combined statistical tests

2 March 2022

Federico Bergamin

Pierre-Alexandre Mattei

Jakob Drachmann Havtorn

Papers citing "Model-agnostic out-of-distribution detection using combined statistical tests"

15 / 15 papers shown

Title
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou M. Gong Feng Liu Feng Liu 84 0 0 30 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 43 0 0 03 Nov 2024
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 29 0 0 04 Oct 2024
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection Sam Dauncey Chris Holmes Christopher Williams Fabian Falck 41 0 0 03 Mar 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection Sicong Huang Jiawei He Kry Yik-Chau Lui 22 0 0 10 Jan 2024
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting Zhenzhen Liu Jinjie Zhou Yufan Wang Kilian Q. Weinberger DiffM 16 36 0 20 Feb 2023
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 25 7 0 24 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 11 13 0 24 Dec 2022
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 76 50 0 09 Oct 2022
Multiple Testing Framework for Out-of-Distribution Detection A. Magesh V. Veeravalli Anirban Roy Susmit Jha OODD 31 5 0 20 Jun 2022
Out-of-Distribution Detection using BiGAN and MDL M. Abolfazli Mohammad Zaeri Arimani A. Høst-Madsen June Zhang A. Bratincsák OODD 13 1 0 03 Jun 2022
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 22 34 0 16 Dec 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 30 71 0 16 Feb 2021
Efficient Per-Example Gradient Computations Ian Goodfellow 186 74 0 07 Oct 2015