When and How Does In-Distribution Label Help Out-of-Distribution Detection?

28 May 2024

Papers citing "When and How Does In-Distribution Label Help Out-of-Distribution Detection?"

20 / 20 papers shown

Title
Can We Ignore Labels In Out of Distribution Detection? Hong Yang Qi Yu Travis Desel OODD 41 0 0 20 Apr 2025
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 45 0 0 18 Nov 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 53 14 0 15 Oct 2024
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data Xuefeng Du Reshmi Ghosh Robert Sim Ahmed Salem Vitor Carvalho Emily Lawton Yixuan Li Jack W. Stokes VLM AAML 38 5 0 01 Oct 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 44 0 0 23 Jul 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 33 44 0 23 Jan 2024
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 151 23 0 06 Nov 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection Rheeya Uppaal Junjie Hu Yixuan Li OODD 119 33 0 22 May 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 149 45 0 09 Mar 2023
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 76 50 0 09 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 69 94 0 30 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 169 150 0 20 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 178 220 0 02 Feb 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 189 328 0 01 Oct 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 151 74 0 12 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015