Is Out-of-Distribution Detection Learnable?

26 October 2022

Bo Han

Papers citing "Is Out-of-Distribution Detection Learnable?"

50 / 86 papers shown

Title
Can We Ignore Labels In Out of Distribution Detection? Hong Yang Qi Yu Travis Desel OODD 26 0 0 20 Apr 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 63 0 0 20 Mar 2025
Generalizable Prompt Learning of CLIP: A Brief Overview Fangming Cui Yonggang Zhang Xuan Wang Xule Wang Liang Xiao VPVLM VLM 73 0 0 03 Mar 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 38 1 0 05 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing-Wu Guo Yi Chang 49 0 0 08 Jan 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 63 0 0 20 Dec 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 35 0 0 18 Nov 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 57 5 0 21 Oct 2024
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks Tianyi Zhang Atta Norouzian Aanchan Mohan Frederick Ducatelle 11 0 0 17 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 43 13 0 15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 23 0 0 11 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 33 1 0 25 Sep 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 30 0 0 09 Aug 2024
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir Shahaf Bassan Guy Katz 35 2 0 07 Aug 2024
Advancing Prompt Learning through an External Layer Fangming Cui Xun Yang Chao Wu Liang Xiao Xinmei Tian VLM 29 1 0 29 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 49 4 0 23 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 24 0 0 23 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yuguang Wang Xiaowen Dong Yuguang Wang 25 0 0 13 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 20 6 0 28 May 2024
Securing the Future of GenAI: Policy and Technology Mihai Christodorescu Craven S. Feizi Neil Zhenqiang Gong Mia Hoffmann ... Jessica Newman Emelia Probasco Yanjun Qi Khawaja Shams Turek SILM 26 3 0 21 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 18 2 0 05 May 2024
The Over-Certainty Phenomenon in Modern UDA Algorithms Fin Amin Jung-Eun Kim 24 0 0 24 Apr 2024
SCOD: From Heuristics to Theory Vojtech Franc Jakub Paplhám D. Prusa 21 2 0 25 Mar 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation PengFei Zheng Yonggang Zhang Zhen Fang Tongliang Liu Defu Lian Bo Han DiffM 28 7 0 13 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 36 10 0 05 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 23 10 0 28 Feb 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 24 12 0 27 Feb 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem Georg Pichler Marco Romanelli Divya Prakash Manivannan P. Krishnamurthy Farshad Khorrami Siddharth Garg 23 2 0 26 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 31 26 0 05 Feb 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 39 2 0 05 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 26 43 0 23 Jan 2024
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport Chuanwen Feng Wenlong Chen Ao Ke Yilong Ren Xike Xie S.Kevin Zhou OODD 22 0 0 22 Jan 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection Sicong Huang Jiawei He Kry Yik-Chau Lui 14 0 0 10 Jan 2024
GROOD: Gradient-Aware Out-of-Distribution Detection Mostafa ElAraby Sabyasachi Sahoo Y. Pequignot Paul Novello Liam Paull 11 0 0 22 Dec 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection Yi-Fan Zhang Xue Wang Tian Zhou Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OODD 24 4 0 28 Nov 2023
Graph Neural Networks for Pressure Estimation in Water Distribution Systems Huy Truong Andres Tello Alexander Lazovik Victoria Degeler 18 7 0 17 Nov 2023
Autoencoder with Group-based Decoder and Multi-task Optimization for Anomalous Sound Detection Yifan Zhou Dongxing Xu Haoran Wei Yanhua Long 6 0 0 15 Nov 2023
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 138 23 0 06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 25 31 0 03 Nov 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 22 10 0 25 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective Kun Fang Qinghua Tao Xiaolin Huang Jie-jin Yang OODD 29 2 0 22 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 13 30 0 21 Oct 2023
SODA: Robust Training of Test-Time Data Adaptors Zige Wang Yonggang Zhang Zhen Fang Long Lan Wenjing Yang Bo Han 9 2 0 17 Oct 2023
Novelty Detection in Reinforcement Learning with World Models Geigh Zollicoffer Kenneth Eaton Jonathan C. Balloch Julia Kim Mark O. Riedl Robert Wright Mark O. Riedl 19 0 0 12 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 8 12 0 09 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 17 61 0 08 Oct 2023
Beyond Labeling Oracles: What does it mean to steal ML models? Avital Shafran Ilia Shumailov Murat A. Erdogdu Nicolas Papernot AAML 20 4 0 03 Oct 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 17 30 0 26 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 11 52 0 23 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu Jie Lu Zhen Fang Guangquan Zhang OODD 22 4 0 21 Sep 2023