Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating

12 May 2022

Papers citing "Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating"

4 / 4 papers shown

Title
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 28 0 0 13 Apr 2025
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution Tanvi Verma Lukas Schwemer Mingrui Tan Fei Gao Yong Liu Huazhu Fu OOD 24 1 0 03 Jun 2024
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 21 29 0 29 Aug 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016