Out-of-distribution Detection in Classifiers via Generation

Out-of-distribution Detection in Classifiers via Generation

9 October 2019

Sachin Vernekar

Vahdat Abdelzad

Taylor Denouden

Krzysztof Czarnecki

Papers citing "Out-of-distribution Detection in Classifiers via Generation"

17 / 17 papers shown

Title
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Z. Wang Zhan Cheng X. Sharon Hu Mengyuan Li Y. Zhao OODD 52 0 0 29 Apr 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 66 0 0 24 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 104 0 0 09 Feb 2025
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 83 14 0 09 Dec 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 0 0 09 Sep 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 23 2 0 22 Jul 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 45 0 0 23 Jun 2024
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 30 122 0 26 Oct 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 14 27 0 31 Jul 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 42 23 0 20 May 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 16 8 0 22 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 30 86 0 01 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 11 4 0 30 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Embedded out-of-distribution detection on an autonomous robot platform Michael Yuhas Yeli Feng Daniel Jun Xian Ng Zahra Rahiminasab Arvind Easwaran 13 13 0 30 Jun 2021
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda P. Krishnamurthy S. Garg Farshad Khorrami AAML 17 14 0 04 Nov 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015