AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection

AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection

22 March 2023

Jian Liang

Papers citing "AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection"

15 / 15 papers shown

Title
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary Yifeng Yang Lin Zhu Zewen Sun Hengyu Liu Qinying Gu Nanyang Ye OODD 45 0 0 13 Mar 2025
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation Wenjun Miao Guansong Pang Jin Zheng Xiao Bai OODD 20 0 0 28 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang L. Zhang VLM OODD 17 0 0 26 Oct 2024
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation Andrea Maracani Lorenzo Rosasco Lorenzo Natale 18 0 0 01 Sep 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 18 6 0 28 May 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation Zhengqing Gao Xu-Yao Zhang Cheng-Lin Liu TTA 26 0 0 09 Apr 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 25 26 0 05 Feb 2024
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 16 6 0 07 Sep 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 18 45 0 16 Jul 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang R. He Tien-Ping Tan OOD VLM TTA 19 159 0 27 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 128 45 0 09 Mar 2023
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 158 258 0 19 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 168 220 0 02 Feb 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020