Back to the Basics: Revisiting Out-of-Distribution Detection Baselines

7 July 2022

Papers citing "Back to the Basics: Revisiting Out-of-Distribution Detection Baselines"

9 / 9 papers shown

Title
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies C. Ciușdel Alex Serban Tiziano Passerini CoGe 69 1 0 03 Feb 2025
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 37 1 0 27 May 2024
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 30 4 0 13 Jul 2023
Detecting Errors in a Numerical Response via any Regression Model Hang Zhou Jonas W. Mueller Mayank Kumar Jane-ling Wang Jing-Sheng Lei 25 0 0 26 May 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 179 875 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 404 0 12 Oct 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
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 153 84 0 21 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 84 607 0 13 Mar 2020