Falsehoods that ML researchers believe about OOD detection

23 October 2022

Papers citing "Falsehoods that ML researchers believe about OOD detection"

5 / 5 papers shown

Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 85 2 0 04 Mar 2025
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects Nazir Nayal Youssef Shoeb Fatma Güney OODD 38 4 0 10 Sep 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector Andi Zhang Tim Z. Xiao Weiyang Liu Robert Bamler Damon J. Wischik OODD 51 4 0 07 Apr 2024
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score Haowei Lin Yuntian Gu OODD 29 6 0 08 Oct 2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing Ruiyong Sun Andi Zhang Haiming Zhang Jinke Ren Yao Zhu Ruimao Zhang Shuguang Cui Zhen Li OODD 28 1 0 26 May 2023