Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data

28 September 2023

Papers citing "Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data"

9 / 9 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 110 0 0 04 May 2025
Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud Ghait Boukachab Michał Koziarski A. Garcia Stefan Bauer Yoshua Bengio Nikolay Malkin BDL 53 0 0 10 Mar 2025
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang Zhimeng Jiang Huiyuan Chen Xiao Li Jing Li 79 2 0 15 Dec 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 47 1 0 21 May 2024
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 169 150 0 20 Sep 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 879 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 169 405 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
Anomaly detection through latent space restoration using vector-quantized variational autoencoders Sergio Naval Marimont G. Tarroni DRL 128 57 0 12 Dec 2020